DIVISION OF AGRICULTURAL SCIENCES 
 UNIVERSITY OF CALIFORNIA 
 
 CALIFORNIA -ARIZONA 
 ECONOMIC INTERDEPENDENCE 
 AND WATER TRANSFER PAHERNS 
 
 by 
 
 D. Ireri 
 and 
 
 H. O. Carter 
 
 UNIVCRGITY GF CA'-IFORMIA 
 DAV13 
 
 DEC 9 1970 
 
 SER. REC. UBRA?<Y 
 
 CALIFORNIA AGRICULTURAL EXPERIMENT STATION 
 GIANNINI FOUNDATION OF AGRICULTURAL ECONOMICS 
 
 Giannini Foundation Research Report No. 313 
 October 1970 
 
ACKNOWLEDGMENTS 
 
 Many colleagues, individuals from private business firms, and governmental 
 agencies have provided advise, assistance, and data for this study, which we 
 gratefully acknowledge. Dr. William E. Martin, University of Arizona and Mr. 
 Ronald Oliveira, University of California, Davis reviewed a preliminary draft. 
 Much of the programming and statistical work was supervised by Mrs. Sue March. 
 Mrs. Taina Nordbak is responsible for the typing of the manuscript. 
 
 The California Water Resources Center, under Project W-152, provided valu- 
 able financial support for the work. 
 
TABLE OF CONTENTS 
 
 Page 
 
 INTRODUCTION 1 
 
 THEORETICAL MODELS 5 
 
 Single-State Model 5 
 
 Two-State Model 6 
 
 Introduction of Water into the Two-State Model 10 
 
 Direct and Indirect Water Requirements 10 
 
 Water Multipliers 13 
 
 Possible Sources of Bias 13 
 
 SECTOR DEFINITIONS AND CLASSIFICATIONS 15 
 
 Endogenous Sector Classification . 15 
 
 Exogenous Sectors 17 
 
 Sector 27, scrap and by-products 17 
 
 Sector 28, net imports and net exports 17 
 
 Sector 29, maintenance construction 18 
 
 Sector 30, new construction 19 
 
 Sector 31, state and local government 19 
 
 Sector 32, Federal Government 19 
 
 Sector 33 and 34, inventory change 19 
 
 Sector 35, gross private capital formation 19 
 
 Sector 36 , households 19 
 
 EMPIRICAL RESULTS 20 
 
 The California Model 20 
 
 Transaction Table 20 
 
 Technical Coefficients 22 
 
 Interdependency Coefficients 24 
 
 The California-Arizona Model 24 
 
 Transaction Table 24 
 
 Technical Coefficients 31 
 
 Direct and Indirect Coefficients 31 
 
 California dependence on Arizona 31 
 
 Arizona dependence on California 39 
 
 Output multiplier effects 39 
 
 Water Interdependence 39 
 
 Water coefficients 42 
 
 Direct plus indirect water coefficients 44 
 
 Water multipliers 44 
 
 Value added per unit of water used 45 
 
 -i- 
 
TABLE OF CONTENTS (Continued) 
 
 Page 
 
 SUMMARY AND CONCLUSIONS 46 
 
 Brief Summaxy of Empirical Results 48 
 
 Some Limitations and Problems 49 
 
 APPENDIX A 52 
 
 General Estimation Procedures 52 
 
 Output for the Production Agricultural Sectors 52 
 
 Inputs for Production Agricultural Sectors 52 
 
 Industry to Industry Flows 63 
 
 Gross Import Matrices for Arizona and California Economies 63 
 
 California sectors 1-23 68 
 
 Arizona sectors 1-23 69 
 
 California and Arizona sectors 24 and 26 69 
 
 Sector 25 — trade and transportation 70 
 
 Sectors 27 and 31 70 
 
 Sectors 29 and 30 70 
 
 Estimation of Water requirements 71 
 
 Sectors 1-3 — Livestock 72 
 
 Sectors 4-10 — Crops 72 
 
 Sectors 11-21 — Manufacturing and Processing 73 
 
 Sector 23~Utllities 73 
 
 Sectors 24-26, 29, and 30 74 
 
 APPENDIX B ^5 
 
 THE NORTH-SOUTH CALIFORNIA MODEL (1958) 75 
 
 Mathematical Formulation 75 
 
 Regional Classification 77 
 
 Division of Outputs and Inputs for Northern and Southern California . 77 
 
 Net Exports and Imports 80 
 
 Empirical Results 80 
 
 Transaction Table 80 
 
 Technical Coefficients 86 
 
 Direct and Indirect Coefficients 86 
 
 LITERATURE CITED 93 
 
 -ii- 
 
LIST OF TABLES 
 
 Table 
 
 Page 
 
 1 Interindustry Flow Table for California and Arizona. 8 
 
 2 Interindustry Flows of Goods and Services by Sector of Origin 
 
 and Destination, California Economy, 1958 21 
 
 3 Technical Coefficients, California Economy, 1958 23 
 
 4 Interdependency Coefficients, California Economy, 1958 .... 25 
 
 5 Interindustry Flows of Goods and Services by Sector and Region 
 
 of Origin and Destination, California-Arizona Economy, 1958. 26-29 
 
 6 California-Arizona Gross Trade Relations, 1958 30 
 
 7 Technical and Trade Coefficients, California-Arizona, 1958 . . 32-34 
 
 8 Direct and Indirect Requirements Per Dollar of Final Demand, 
 
 California-Arizona Economy, 1958 .... 35-37 
 
 9 A Measure of California Dependence on Arizona 38 
 
 XO A Measure of Arizona Dependence on California. 40 
 
 11 Water Interdependency Matrix (W*) , California-Arizona 41 
 
 12 Water Coefficients and Water Multipliers, California-Arizona. 
 
 1958 43 
 
 X3 Value Added Per Unit of Water Intake, California and Arizona 
 
 Sectors, 1958 47 
 
 A- 1 Available Supply and Distribution of Meat Animals and Products 
 
 (UC 1), 1958 53 
 
 A- 2 Available Supply and Distribution of Poultry and Eggs (UC 2) 
 
 1958 54 
 
 A- 3 Available Supply and Distribution of Farm Dairy Products 
 
 (UC 3), 1958 55 
 
 A- 4 Available Supply and Distribution of Food and Feed Grains 
 
 (UC 4), 1958 56 
 
 A- 5 Available Supply and Distribution of Cotton and Cottonseed 
 
 (UC 5), 1958 57 
 
 A- 6 Available Supply and Distribution of Vegetables (UC 6) , 1958 . 58 
 
 -iii- 
 
LIST OF TABLES (Continued) 
 
 Table Page 
 
 A- 7 Available Supply and Distribution of Fruits and Nuts 
 
 (UC 7), 1958 59 
 
 A- 8 Available Supply and Distribution of Citrus (UC 8), 1958 . . 60 
 
 A- 9 Available Supply and Distribution of Forage (UC 9), 1958 . . 61 
 
 A-10 Available Supply and Distribution of Miscellaneous Agri- 
 culture (UC 10), 1958 62 
 
 A-11 Available Supply and Distribution of the Agricultural Pro- 
 cessing Sectors, 1958 64 
 
 A-12 Available Supply and Distribution of Manufacturing and Mining 
 
 Sectors, 1958 65 
 
 A-13 Available Supply and Distribution of the Utilities, Service, 
 
 and Transportation Sectors, 1958 66 
 
 A-14 Water Requirements by California and Arizona Sectors, 1958 . 67 
 
 B- 1 Division of California Sector Outputs, by Regions, 1958. . . 79 
 
 B- 2 California Regional Net Imports and Exports by Sector of 
 
 Origin, 1958 81 
 
 B- 3 Interindustry Flows of Goods and Service by Sector and Region 
 
 of Origin and Destination, N. California and S. California, 
 
 1958 82-85 
 
 B- A Direct Requirements Per Dollar of Output, Northern California 
 
 and Southern California, 1958 87-89 
 
 B- 5 Direct and Indirect Requirements Per Dollar of Final Demand, 
 
 Northern California and Southern California, 1958 90-92 
 
 -iv- 
 
LIST OF FIGURES 
 
 lifiHre Page 
 1 Regional Division of California 78 
 
 -V- 
 
CALIFORNIA-ARIZONA ECONOMIC INTERDEPENDENCE 
 AND WATER TRANSFER PATTERNS 
 
 by 
 
 D. Ireri* and H. 0. Carter** 
 
 INTRODUCTION 
 
 The competition for scarce natural water supplies is of major concern 
 in the western United States. Policy makers in areas of current water sur- 
 plus are reluctant to consider major interbasin diversions to the arid and 
 semlarid areas since the competition is not only for current supplies but 
 often for perpetual legal rights to continuing flows from streams and under- 
 ground aquifers. On the other hand, it is generally recognized by regional 
 planners that the economies of the water "haves" and "have-nots" show impor- 
 tant Interdependencies indicating large internal markets for many of the 
 products produced within the western region. Agricultural Interests have 
 especially Important stakes in the rivalry since crop sectors are the major 
 users of the available water, although it is readily accepted that crop and 
 related agricultural sectors are economically interrelated with nonagrlcul- 
 tural sectors, locally and regionally. 
 
 Accordingly, it has been argued that regional and multlreglonal input- 
 output (I-O) analysis has much to offer in providing not only a consistent 
 system of product accounts but also a framework to Integrate water resource 
 needs and water development programs with forecasts of regional economic 
 activity. Martin and Carter outlined a procedure for obtaining "water 
 
 ♦Previously, Postgraduate Research Agricultural Economist at the Univer- 
 sity of California, Davis. Currently, Teaching Fellow, Social Science 
 Division, Institute for Development Studies, University College, Nairobi, 
 Kenya . 
 
 **Professor of Agricultural Economics and Agricultural Economist in the 
 Experiment Station and on the Giannlnl Foundation, University of California, 
 Davis . 
 
multipliers" with reference to a California input-output model at the Western 
 
 Farm Economics Association annual meeting in 1960.—^ Major emphasis for the 
 
 Martin-Carter study was placed on agricultural sectors which comprise 15 of 
 
 2/ 
 
 the 26 endogenous sectors.— 
 
 Subsequently, Zusman, Hoch, and Lee have modified the 195A California 
 
 model of Martin and Carter to analyze and project growth of the California 
 
 3/ 
 
 economy with primary emphasis given to water requirements.— 
 
 Research relating to this area has been conducted also by the Sanitary 
 Engineering Research Laboratory, Berkeley. Lofting and McGauhey illustrate 
 a method of superimposing the average water-use pattern on a 56-8ector inter- 
 industry transaction matrix developed by F. T. Moore for the year 19A7 and, 
 
 subsequently, of using such coefficients to trace out California interindustry 
 
 4/ 
 
 water requirements.— A recent extension of this analysis by Lofting and 
 
 1^/ Martin, William E., and Harold 0. Carter, "Problems and Applications 
 of a California Interindustry Model," Western Farm Eoonomios Aasooiation 
 Proceedings, i960, 1961, pp. 126-145. 
 
 2/ Martin, William E., and Harold 0. Carter, A Calif omia Interindustry 
 Analysis Emphasizing Agriculture, Tart I: Input-Output Models and Results. 
 Part II: Statistical Supplement, Berkeley: University of California, Agri- 
 cultural Experiment Station, Giannini Foundation Research Report No. 250, 
 February 1962, 79 pp. and 121 pp. 
 
 _3/ Zusman, Pinhas, and Irving Hoch, Resource and Capital Requirement 
 Matrices for the California Economy, Berkeley: California Agricultural Exper- 
 iment Station, Giannini Foundation Research Report No. 284, August 1965, pro- 
 cessed; Lee, Ivan M. , A Model for Examining Sensitivity of a Regional Eooncmy 
 to Alternative Growth Constraints, Berkeley: University of California, Agri- 
 cultural Experiment Station, September 1965; and Lee, Ivan M. , Conditional 
 Projections of California Economic Grototk, Berkeley: University of California, 
 Agricultural Experiment Station, Giannini Foundation Monograph No. 19, Feb- 
 ruary 1967. 
 
 4^/ Lofting, E. M., and P. H. McGauhey, Economic Evaluation of Water, Part 
 III: An Interindustry Analysis of the California Water Economy, Berkeley: 
 University of California, U.C. Water Resources Center Contribution No. 67, 
 January 1963, processed. 
 
 -2- 
 
McGauhey Involve (1) construction of an 81-sector California I-O model patterned 
 after the 1958 National Interindustry Study and (2) restructuring of the model 
 into a linear programming framework.—^ These results provide much information 
 relevant to understanding the interdependence of water demand from competing 
 sectors of the economy which should ultimately aid in the formulation of state 
 and federal water policies. 
 
 Interest is focused now upon the construction of a western states multi- 
 regional model which will link together the models presently available from 
 the various states. In recent years, 1-0 tables have been constructed for 
 Arizona, California, Colorado, Oregon, New Mexico, Utah, Washington, and for 
 
 a number of subregions in some states and for the subbasins of the Colorado 
 2/ 
 
 River.— The only attempt to link together these states was accomplished by 
 
 Davis who constructed a 15-sector model, with one sector representing agri- 
 
 3/ 
 
 culture, for" eight western states or regions.— 
 
 This paper reports on an attempt to link, via I-O, two contiguous states — 
 California and Arizona — that currently are embroiled in a legal conflict over 
 water allocation rights from the Colorado River. While we view this work as 
 a pilot study that should indicate some of the empirical and methodological 
 problems to be encountered in the more ambitious venture of linking eleven 
 western states, the results nonetheless may have relevance for water allocation 
 policies with respect to industrial and agricultural production for these two 
 states . 
 
 Specifically, for this report, we pose such questions as: Given par- 
 ticular emphasis to heavy water-using agricultural sectors in both states, 
 
 \l Lofting, E. M., and P. H. McGauhey, Eoonomio Evaluation of WateVj Part 
 TV: An Input-Output Linear Prograrming Analysis of California Water Require- 
 ment, Berkeley: University of California, U.C. Water Resources Center Contri- 
 bution No. 116, August 1968, processed. 
 
 2/ Bourque, Philip J., and Gerald Hansen, An Inventory of Regional Input- 
 Output Studies in the United States, Seattle: University of Washington, Grad- 
 uate School of Business Administration, August 1967. 
 
 2/ Davis, H. Craig, Eoonomio Evaluation of Water, Part V: Multiregional 
 Input-Output Teohniques and Western Water Resources Development, Berkeley: 
 University of California, U.C. Water Resources Center Contribution No. 125, 
 February 1968. 
 
 -3- 
 
what is the extent and nature of the economic interdependence between the 
 economies of California and Arizona? What are the technical water require- 
 ments of different sectors in California and Arizona and how are these re- 
 quirements related to economic activity within California and between Cali- 
 fornia and Arizona? What are the direct and indirect water requirements of 
 sectors in both regions in response to changes in final demand for products 
 in each state? 
 
 The previous Martin-Carter study used a 195A base year; this study 
 represents an updating and extension of the same model and follows the same 
 basic procedures for the two states for 1958. As discussed in more detail 
 in the report, one of the most difficult aspects of linking regional or 
 state I-O models together when prepared by different research groups is 
 reconciling the heterogeneity of assumptions with regard to (1) definition 
 of sectors, (2) estimation procedure, and (3) base time period selected. 
 Because of close coordination and similarity of research interests between 
 Professor William E. Martin (University of Arizona) and the junior author, 
 the 1-0 tables for California and Arizona are both for the base year 1958 
 and were constructed on a comparable basis. The Arizona model is reported 
 elsewhere^^ and the California model is discussed as one phase of this study. 
 Transaction tables for each state are combined with appropriate trade matrices 
 to implement the interstate matrix. 
 
 II Tijoriwala, Anilkumar G., William E. Martin, and L. Bower, The Struc- 
 ture of Arizona Economy: Output Interrelationships and Their Effects on Water 
 and Labor Requirements. Part I: The Input-Output Model and Its Interpretation 
 and Part II: Statistical Supplement, Tucson: University of Arizona, Agricul- 
 tural Experiment Station, May 1966, unpublished. 
 
 -A- 
 
THEORETICAL MODELS 
 
 Single-State Model 
 
 The matrix representing sales and purchases for the respective state 
 economies is shown in (1).—^ 
 
 (1) 
 
 where is the gross output of sector i, 
 
 X^j is output of sector i purchased by another pro- 
 ducing sector j within the state (1, j = 1, 2, . . . 
 n) , and 
 
 is final demand for sector i. This represents out- 
 put of sector i purchased by the final consumer 
 within the state, inventory additions or depletions, 
 government purchases, and exports out of the state. 
 
 The basic assumption made in input-output analysis involves the relation- 
 ship between purchases of a sector and the level of output of that sector. 
 Tliat is, 
 
 (2) X,. = a..X. + c,. 
 
 where 
 
 a^j and c^^ are parameters. In most empirical work and in this 
 study the intercept c^_, is assumed to be zero. 
 
 V For a more complete discussion of the basic state models, see Martin, 
 William E., and Harold 0. Carter, A California Interindustry Analysis Empha- 
 sising Agriculture, Part I: Input-Output Models and Results. Part II: Sta- 
 tistical Supplement, Berkeley: University of California, Agricultural Experi- 
 ment Station, Giannini Foundation Research Report No. 250, February 1962, 79 
 pp. and 121 pp.; and Tijoriwala, Anilkumar G. , William E. Martin, and L. Bower, 
 The Structure of Arizona Economy: Output Interrelationships and Their Effects 
 on Water and Labor Requirements. Part I: The Input-Output Model and Its 
 Interpretation and Part II: Statistical Supplement, Tucson: University of 
 Arizona, Agricultural Experiment Station, May 1966, unpublished. 
 
 -5- 
 
Substituting (2) into (1) gives 
 
 (3) -Ea^jXj+Y^ 
 
 or more compactly, 
 
 (4) (I - A)X - Y. 
 
 The (I - A) is the "Leontief matrix" which has the special properties 
 that its diagonal elements are positive and the off-diagonal elements are 
 negative or zero.— ^ The solution of Equation (4) is given in Equation (5) . 
 
 (5) X - (I - A)"-^Y. 
 
 The coefficients of (I - A) ^, also called interdependency coefficients, 
 indicate the amount of production for each sector i necessary to sustain a 
 final demand of one unit in sector j . 
 
 Two-State Model 
 
 The two-state economies are each divided into n sectors and a model 
 
 2/ 3/ 
 similar to that proposed by Isard=- and used by Wonnacott— is adopted which 
 
 shows the flow of output from each sector to every sector in the two-state 
 
 economies . 
 
 We adopt the following notation: 
 cc 
 
 x^j ■ Value of output in California sector i consumed by 
 California sector j. 
 
 ll It can be demonstrated that the Leontief matrix is nonsingular and non- 
 negative which insures that for all nonnegative Y's, the solution of Equation (5) 
 for all X^ will be nonnegative and unique. See Dorfman, Robert, Paul A. Samuel- 
 son, and Robert M. Solow, Linear Ppogramming and Eoonomia Analysis ^ New York: 
 McGraw Hill Book Company, Inc., pp. 499-501. 
 
 2/ Isard, Walter, "Interregional and Regional Input-Output Analysis: A 
 Model of a Space Economy," Review of Economics and Statistics , Volume 33, No- 
 vember 1951, pp. 218-328. 
 
 V Wonnacott, R. J., Canadian-American Dependence ^ An Interindustry Analysis 
 of Production and Prices, Amsterdam: North-Holland Publishing Company, 1961. 
 
 -6- 
 
aa 
 
 = Value of output In Arizona sector i consumed by Arizona 
 sector j . 
 
 ^ii ~ ^^^"^ °^ output in California sector i consumed by 
 
 Arizona sector j . 
 
 3.C 
 
 ^ij ~ Value of output in Arizona sector i consumed by California 
 sector j . 
 
 cc 
 
 = Value of output in California sector i consumed by Cali- 
 fornia final demand sectors. 
 
 aa 
 
 = Value of output in Arizona sector i consumed by Arizona 
 final demand sectors. 
 
 y^ = Value of output in California sector i consumed by Arizona 
 final demand sectors. 
 
 3.C 
 
 y^ = Value of output in Arizona sector i consumed by Cali- 
 fornia final demand sectors. 
 
 c 
 
 P = Primary inputs or value added in California sector i . 
 J . 
 
 sl 
 
 P . = Primary inputs or value added in Arizona sector i . 
 3 
 
 The flow of output from each sector to every other sector in the two 
 regions is depicted in Table 1. 
 
 The gross output column is obtained by summing across rows. For example, 
 the gross outputs of California sector i and Arizona sector i are given by 
 Equations (6a) and (6b) respectively. 
 
 ft.^\ V cc , - .ca . cc . ca 
 
 (6a) = Z x^j + E t^j + y^ + y^ 
 
 (6b) X^ - Z x^j + Z t^j + y. + y^ 
 
 The gross outlays for California and Arizona sector j are given by 
 Equations (7a) and (7b) respectively. 
 
 (7a) X^ = Z x" + Z t^^ + P? 
 
 J i ij i ij J 
 
 -7- 
 
TABLE 1 
 
 Interindustry Flow Table for California and Arizona 
 
 Producing 
 sectors 
 
 California consuming 
 
 sectors 
 
 Arizona 
 
 consuming 
 
 sectors 
 
 Final demand 
 
 Gross 
 
 1 
 
 2 
 
 n 
 
 1 
 
 2 
 
 
 n 
 
 California 
 
 Arizona 
 
 
 California 1 
 
 cc 
 ^11 
 
 cc 
 
 X2^2 • • • 
 
 cc 
 In 
 
 ca 
 "^11 
 
 ca 
 
 t 
 
 "^12 
 
 • • • 
 
 t" 
 In 
 
 cc 
 
 ^1 
 
 ca 
 
 ^1 
 
 X ^ 
 
 ^1 
 
 2 
 
 ■ 
 
 cc 
 ^21 
 
 cc 
 
 cc 
 ^2n 
 
 '21 
 
 ca 
 22 
 
 t 
 
 ca 
 '^2n 
 
 cc 
 
 ^2 
 
 ca 
 
 ^2 
 
 • 
 
 ^2 
 
 • 
 
 
 
 I 
 
 
 
 
 II 
 
 
 • 
 • 
 
 • 
 
 V 
 
 • 
 
 • 
 
 • 
 
 n 
 
 cc 
 nx 
 
 cc 
 nz 
 
 cc 
 
 X 
 
 nn 
 
 
 ca 
 
 11 
 
 • • • 
 
 t^^ 
 nn 
 
 cc 
 
 yn 
 
 ca 
 
 yn 
 
 X 
 
 n 
 
 Arizona 1 
 
 ac 
 "^11 
 
 ac 
 
 "^12 ••• 
 
 In 
 
 aa 
 ^11 
 
 aa 
 x^2 
 
 • • • 
 
 aa 
 In 
 
 lac 
 ^1 
 
 aa 
 
 ^1 
 
 X * 
 ^1 
 
 2 
 
 
 ac 
 
 t22 
 
 ac 
 2n 
 
 aa 
 21 
 
 aa 
 ^12 
 
 • * • 
 
 aa 
 
 2n 
 
 ac 
 
 ^2 
 
 aa 
 
 ^2 
 
 ^2' 
 
 • 
 
 
 III 
 
 
 
 
 IV 
 
 
 • 
 • 
 
 VI 
 
 • 
 
 
 n 
 
 
 ac 
 
 n2 • • • 
 
 nn 
 
 aa 
 nl 
 
 aa 
 
 
 aa 
 
 X 
 
 nn 
 
 ac 
 
 "n 
 
 aa 
 
 ^n 
 
 X ^ 
 n 
 
 Primary inputs 
 (value added) 
 
 
 P 
 
 1 2 • • • 
 
 P ^ 
 n 
 
 ^1" 
 
 '2' 
 
 • • • 
 
 P ^ 
 n 
 
 
 
 
(7b) 
 
 J i i ij i 
 
 If we denote the California and Arizona outputs of sector i as X^ and 
 
 X_j^ respectively, both expressed in value terms, and let 
 a+c 
 
 c+a 
 
 cc . ca , 
 ^i ^i ' 
 
 aa , ac 
 
 ~ ^ ^i ' ^^^^ two-state transactions may be abbreviated with sub- 
 matrices as in Equation (8) . 
 
 (8) 
 
 
 
 
 
 
 
 
 x'^ 
 
 
 
 x" ; 
 
 t" 
 
 + 
 
 c+a 
 
 y 
 
 x^ 
 
 
 
 ^ac ; 
 
 x^^ 
 
 
 ^a+c 
 
 
 
 
 
 
 
 _ ^ 
 
 Expressing each input of a sector as a proportion of the total output 
 
 (technical coefficients for California economy) 
 (gross import coefficients for California economy) 
 (technical coefficients for Arizona economy) 
 (gross import coefficients for Arizona economy) 
 
 of that 
 
 sector we 
 
 obtain 
 
 (9a) 
 
 c 
 
 /„C 
 
 = x^./X. 
 
 (9b) 
 
 c 
 
 m^j 
 
 
 (9c) 
 
 a 
 
 = x^^/X^ 
 
 (9d) 
 
 a 
 
 = t'^^/X^ 
 
 where 
 
 (i, j = 1, 2, . . . , n) and both ^^j's and ^j^j ^'^^ elements of 
 
 1/ 
 
 n-order matrices of technical and trade coefficients, respectively.— 
 
 1/ The A and the M matrices (technical coefficients and trade coefficients 
 matrices respectively) are not necessarily of the same order. The generality 
 of the theory holds in cases where the regional I-O tables concerned are of 
 different dimensions, since the resulting partitioned matrix will always be 
 square and the inverse (if it exists) can always be found. For example, if 
 the A matrix for California was n x n, and that for Arizona was k x k, then 
 the two M matrices would be k x n and n x k respectively, and the resulting 
 two-state matrix would be square with dimensions (n+k) x (n+k) . 
 
 -9- 
 
Substituting Equations (9a-9d) into Equation (8) and rearranging terms 
 
 gives 
 
 (10) 
 
 I - A 
 
 - M 
 
 - M 
 
 I - A 
 
 ,c+a 
 
 ,a+c 
 
 In this case, the coefficients of the "Leontief matrix" may be inter- 
 preted as constant production and trade relationships which describe the 
 economic structure of the two-state economy for a given point in time. 
 
 C 3 
 
 Solving for X and X in terms of any final bill of goods yields 
 
 (11a) 
 
 x^ 
 
 
 I - aS 
 
 - 
 
 -1 
 
 c+a 
 
 y 
 
 x^ 
 
 
 
 I - A^ 
 
 
 a+c 
 
 y 
 
 _ _ 
 
 
 
 
 
 
 in which the output of any sector in the two states is expressed as a func- 
 tion of final demand for products in the two states. 
 
 Equation (11a) may be written as 
 
 (lib) 
 
 X 
 
 M 
 
 M 
 
 *a 
 
 c+a 
 
 a+c 
 
 or 
 
 (11c) 
 
 * 
 
 X = N Y 
 
 Introduction of Water into the Two-State Model 
 
 Direct and Indirect Water Requirements 
 
 The inverse matrix in Equation (11c) indicates explicitly that demand 
 for products of any sector in either state may induce production directly 
 within that sector and also indirectly from other sectors in both states. 
 By combining water usage data with information contained in the matrix N , 
 it is possible to trace and quantify water interdependencies and thus reveal 
 
 -10- 
 
the local and regional effects on water withdrawal of a change in final demand 
 in any one sector. 
 
 First, we define technical water-use coefficients as the ratio of water 
 requirements (r^) in a given sector to the gross output of that sector (X.) 
 as given in Equations (12a) and (12b). 
 
 (12a) = r^/X^, j = 1 . . . n, 
 
 (12b) F^ = rj/xj, j = 1 . . . n. 
 
 The total water required (R) by the endogenous sectors is given by 
 
 (13) R = FX 
 
 where 
 
 F is a partitioned row vector [f'^ : F^] and X is as defined 
 previously. 
 
 Substituting the solution for X from Equation (lib) into Equation (13) 
 yields 
 
 (14a) R = [F*^ : F^] 
 
 or more compactly 
 
 (14b) R = FN*Y. 
 
 If we let FN* = V*, where v" is a 1 x 2n partitioned row vector [V*^ : V^] 
 
 with elements V., then for each dollar of final demand for products of sector 
 
 c 
 
 j (say) in California, units of water are required directly for products of 
 sector j and indirectly through requirements induced in other sectors of the 
 California economy as^ well as those induced in sectors of the Arizona economy. 
 
 A disaggregation of V is accomplished by premultiplying N with a new 
 matrix F containing two n-order block diagonal matrices of technical water 
 
 M 
 
 *a 
 
 c+a 
 
 M 
 
 a+c 
 
 -11- 
 
coefficients with typical elements F? = and F^ = F^. The resulting 
 
 ^ J J J J J J 
 
 "water interdependency matrix" W is shown in Equation (15). 
 
 (15) 
 
 W 
 
 M 
 
 M 
 
 *a 
 
 — c *c 
 
 FA 
 
 fV^ 
 
 W*^*^ and are each n x n matrices of intrastate direct plus indirect water 
 
 requirements for California and Arizona economies, respectively. W and W 
 
 are also n-order matrices of embodied, direct plus indirect, water transfers 
 
 from California to Arizona and Arizona to California, respectively. Each 
 It 
 
 coefficient in W relates to a unit change in final demand. 
 
 it is 
 
 Note that [1] W = V , where [1] is a row sum vector (1 x 2n) . Similarly, 
 
 * 
 
 summing down the columns of the submatrices of W provides a basis for esti- 
 mating individual state water requirements induced by a unit final demand 
 
 change in each of the two states. Thus, we define for California the 1 x n 
 cc 
 
 row vector V as 
 
 (16) V^^ = [1] W"^ 
 
 with elements V^*^, then for a unit change in final demand for products of sec- 
 tor j of California, V^*^ units of water are required directly and indirectly 
 from California. Following the same procedure, 
 
 (17) V^'' - [1] W^*", 
 
 (18) V'^^ = [1] W*^*, and 
 
 (19) V^^ = [1] W^*. 
 
 By definition, then ' . ' 
 
 (20) V* = [V" + V^'^ : V*^ + v"]. 
 
 -12- 
 
Water Multipliers 
 
 Multipliers derived from I-O matrices are defined in various ways in 
 the literature. In this study, we define tmweighted water multipliers [W] 
 for the n sectors in each of the two states as the column sums of the [W*] 
 (the elements of V ) divided by the corresponding technical water intake 
 coefficients. Thus, in terms of previous notation 
 
 (21) 
 
 W = [f"^] [V*^] = [W*^ : W^], where T is transpose. 
 
 It should be emphasized that the unweighted water multipliers of Equa- 
 tion (21) are merely ratios or indexes of interdependency which say little 
 about absolute water requirements by various sectors nor do they reflect 
 the relative "sizes" of different sectors which may differ considerably. 
 To reveal the impact on water use in relation to the relative sizes of 
 different sectors, weighted wa ter multipliers are defined in Equation (22). 
 
 (22a) 
 
 (22b) 
 
 Ay ' 
 
 — 
 
 0 
 
 
 
 
 
 0 ] 
 
 Ay^ 
 
 
 
 
 
 w = 
 
 = — *T 
 W = [Ay] V . 
 
 , or 
 
 C 3. C 
 
 Ay and Ay are each n-order diagonal matrices with typical elements Ay 
 
 a ^ 
 and Ay^j representing a uniform change in existing final demand for each 
 
 California and Arizona sector j, respectively. 
 
 Possible Sources of Bias 
 
 Aside from the usual sources of bias inherent in any regional 1-0 model, 
 
 one additional restrictive assumption that should be noted relates to sector 
 
 * * * _ = 
 
 capacities. Using the inverse (N ) to compute V , W , W, and W, implicitly 
 
 assumes that all sectors are operating at or below their respective capacities. 
 
 However, if at least one sector in either California or Arizona had inade- 
 quate capacity to meet the implied output necessary to supply the delivery of 
 
 -13- 
 
a given level of final demand, then the resulting Inverse [N ] would be incon- 
 sistent with the feasible bill of goods and the resulting water coefficients 
 and multipliers would be biased. 
 
 A method for overcoming the capacity problem was suggested by Leon N. 
 
 1/ 2/ 
 Moses— and implemented by Mollis B. Chenery— and Ronald J. Wonnacott in his 
 
 3/ 
 
 Canadian-American dependence model.- Moses suggested the following steps: 
 (1) Compute output for all industries necessary to support the delivery of 
 a given final demand. (2) Compare the required level of output and regional 
 capacity for each sector in each region individually. (3) If in one or more 
 sectors required output is greater than capacity, a choice is implied between 
 building new capacity or increasing imports. Whether a region becomes a 
 deficit area by increasing imports or makes a readjustment by building new 
 capacity depends on the cost comparisons, not only in the deficit industries 
 but in all industries in the region. In either case a different W matrix 
 and a different set of water multipliers is generated. 
 
 Chenery has utilized an interregional input-output framework which takes 
 capacity limitations into account. His model is solved in an iterative way. 
 The major drawback of this method is that a new set of computations is re- 
 quired for any other particular bill of goods, i.e., the system does not offer 
 a unique inverse applicable to any bill of goods. Wonnacott, on the other 
 hand, has formulated and implemented an interindustry model of the Canadian- 
 American dependence which gives a 'general set' of inverses for any bill of 
 goods and is a feasible method for problems with capacity restrictions for a 
 small' number of sectors. 
 
 1/ Moses, Leon N., a discussion of the paper by Moore, F. T., "Regional 
 Economic Reaction Paths, Arneriaan Eaonomia Review (proceedings) 45:2, 1955. 
 pp. 133-156. 
 
 2/ Chenery, Hollis B. , 'Interregional and International Input-Output Anal- 
 ysis," in Tibor Barna, ed., Stvuctuval Interdependence of the Economy, New 
 York: John Wiley and Sons, 1954, Chapter 17. 
 
 3/ Wonnacott, R. J.. Canadian- American Dependence, An Interindustry Anal- 
 ysis of Production and Prices, Amsterdam: North-Holland Publishing Company, 
 1961, pp. 33-66. 
 
 -14- 
 
SECTOR DEFINITIONS AND CLASSIFICATIONS 
 
 The input-output tables for California and Arizona are both for the bast 
 year 1958 and were constructed on a comparable basis with respect to sector 
 definitions, aggregations, and general estimation procedures. In a few 
 cases where differences in either definitions, aggregations, or general esti- 
 mating procedures existed, a reconciliation was made so that the two models 
 were essentially comparable. Also, sector definitions for both California 
 and Arizona tables are comparable to the 1954 Martin-Carter study. 
 
 Endogenous Sector Classification 
 
 The 26 endogenous sectors of the California and Arizona models are each 
 composed of 10 agricultural sectors, 5 agricultural processing sectors, 7 
 manufacturing and mining sectors, 3 service sectors, and 1 sector including 
 all of the 'margin' (wholesale and retail trade and transportation) industries. 
 
 Agriculture and mining sectors are classified on a product rather than an 
 establishment basis to conform to most data sources. Processing, manufacturing, 
 and some transportation industries are classified on an establishment basis to 
 conform to practices followed in constructing national I-O tables by the Office 
 of Business Economics, Department of Commerce. 
 
 The definitions of the commodities or industries included in each endogenous 
 sector are given as follows : 
 
 1. Meat Animals and Products — beef, hogs, sheep and lambs, wool and mohair. 
 
 2. Poultry and Eggs — chickens, eggs, broilers, turkeys and turkey eggs, 
 other poultry and eggs, and hatcheries. 
 
 3. Farm Dairy Products — milk, cream, and dairy animals sold for meat. 
 
 1/ For a discussion of general estimation procedures and statistical details 
 on the California model see Appendix A. For similar discussion on the Arizona 
 table see Tijoriwala, Anilkuma C, William E. Martin, and L. Bower, The Struc- 
 ture of Arizona Economy: Output Interrelationships and Their Effects on Water 
 and Labor Requirements. Part I: The Input-Output Model and Its Interpretation 
 and Part II: Statistical Supplement, Tucson: University of Arizona, Agricul- 
 tural Experiment Station, May 1966, unpublished. 
 
 -15- 
 
4. Food and Feed Grains — wheat, rye, rice, com, barley, oats, sorghum, 
 com, and sorghum silage. 
 
 5. Cotton — cotton lint and cottonseed. 
 
 6. Vegetables — Irish potatoes, sweet potatoes, melons, dry beans and peas, 
 strawberries , and all other vegetables . 
 
 7. Fruit (excluding citrus) and Tree Nuts — apples, apricots, cherries, 
 nectarines, peaches, pears, persimmons, plums, prunes, pomegranates, 
 avocados , dates , figs , olives , grapes , tree nuts , and bush berries . 
 
 8. Citrus Fruits — oranges, tangerines, lemons, grapefruit, limes, and 
 satsumas . 
 
 9. Forage Crops — hay and pasture. 
 
 10. Miscellaneous Agriculture — legume and grass seed, vegetable seeds, 
 greenhouse and nursery products, on-farm forest products, sugar beets, 
 oil crops, miscellaneous crops, horses and mules, honey and beeswax, 
 agricultural services, and hunting and fishing. 
 
 11. Grain Mill Products — flour and meal, cereal breakfast foods, rice 
 milling, blended and prepared flour, and prepared animal feeds. 
 
 12. Meat and Poultry Processing — meat packing, prepared meats, and 
 poultry dressing plants. 
 
 13. Dairy Products — creamery butter, natural cheese, concentrated milk, 
 ice cream and ices, special dairy products, and fluid milk. 
 
 14. Canning, Preserving, and Freezing — canned seafood, cured fish, canning 
 and preserving food, dehydrated fruits and vegetables, pickles and 
 sauces, packaged seafood, and frozen fruit and vegetables. 
 
 15. Miscellaneous Agricultural Processing — bakery products (including bread 
 baked at single retail outlets), sugar, miscellaneous food preparations, 
 alcoholic beverages, and tobacco products. 
 
 16. Chemicals and Fertilizers — chemicals, plastics, synthetic rubber, ex- 
 plosives, drugs and medicines, soap and related products, paints and 
 varnishes, fertilizers, and animal and vegetable oils. 
 
 17. Petroleum — crude petroleum and natural gas, petroleum products, coke 
 and products, and paving and roofing materials. 
 
 18. Fabricated Metals and Machinery — fabricated metals, machinery, electrical 
 machinery, and transportation equipment (excluding aircraft). 
 
 19. Aircraft — aircraft and parts. 
 
 20. Primary Metals — steel, foundries and f orgings , nonferrous metals, and 
 nonf errous foundries . 
 
 21. Other ilanuf acturing — textiles, logging, wood products, furniture, paper 
 products, printing and publishing, rubber products, leather products, 
 and clay and glass products. 
 
 22. Mining — all mining except for liquids and gases. 
 
 23. Utilities — electric light and power; natural, manufactured, and liqui- 
 fied petroleum gas; and telephone and telegraph. 
 
 -16- 
 
24. Selected Services— eating and drinking establishments, hotels and camps, 
 laundries and dry cleaners, other personal services, business services, 
 auto repair shops and garages, other repair services, and motion picture 
 theaters and other amusements. 
 
 25. Trade and Transportation— railroads , trucking, warehousing and storage, 
 water transportation, air transportation, pipeline transportation, and 
 wholesale and retail trade. 
 
 26. Unallocated services — banking and finance, real estate and rentals, 
 medical and dental, nonprofit institutions (including education), 
 advertising, small arms production, and motion picture production. 
 
 Exogenous Sectors 
 
 The endogenous section of the model is constructed symmetrically, i.e., 
 each sector has both an output row and an input column. In contrast, there 
 are five rows and ten columns in the exogenous portion of the California and 
 Arizona models. The gross private capital accumulation sector, for example, 
 is aggregated with the value-added row, yet appears as a separate column. 
 For these reasons , the exogenous sectors are discussed in greater detail than 
 are the endogenous sectors. Additional detail is presented in Appendix A. 
 
 Sector 27, scrap and by-products . — Commodities considered as scrap or 
 by-products and produced by the 26 endogenous sectors are distributed to a 
 special "dummy" sector outside the endogenous system. These commodities are 
 then distributed to the using sector from a scrap and by-products row. Some 
 of the main commodities considered as by-products in this study are farm hides, 
 dairy culls, cottonseed, grain mill cleanings and sweepings, brewers' and dis- 
 tillers ' dried grains , vegetable cake and meal , animal oils , packers ' hides , 
 molasses, cotton linters , coke oven gas, gold and silver from the primary met- 
 als industries, and blast furnace gas. In addition, the value of metal and 
 nonmetal wastes was estimated without specifying particular commodities. 
 
 Sector 28, net imports and net exports .— ^ — To construct a state I-O model 
 requires, ideally, detailed import-export data by type and value of product. 
 Such information is extremely limited. In the absence of adequate import- 
 export data, the procedure followed for the individual state models was to 
 
 IJ Discussion of the procedures for fusion of the two state economies is 
 presented in Appendix A. 
 
 -17- 
 
specify the total amount of each product used in the state by both producers 
 and consumers, compare the total with the total output produced in the state, 
 and label the difference as either a net import or export. The imports and 
 exports of the state models are therefore net relationships, any counter- 
 balancing commodity flows across the state line within the same aggregate 
 sector are ignored. 
 
 With imports recorded as a net relationship and no information as to 
 whether a particular industry uses domestically produced or imported inputs, 
 a further assumption was necessary in order to scale the distribution of in- 
 puts from a sector down to domestically produced goods only. It was assumed 
 that each sector imported a particular class of goods in proportion to its 
 relative use of that good. For example, if agriculture used 6 percent; non- 
 agricultural industry, 71 percent; and final demand, 23 percent of the total 
 value of chemicals and fertilizers consumed in the state, these sectors divi- 
 ded the value of imports in the same proportions. Conversely, available 
 domestic output was distributed in the same proportions. 
 
 Therefore, technical coefficients of producing sectors for individual 
 state models express the amount of a domestically (in-state) produced good 
 required to produce one dollar of a sector's output. Technical coefficients 
 of the import sector express the value of all imports required to produce 
 one dollar of a sector's output. All imports into the state are aggregated 
 and appear in the single net import row. Neither the sum of the net import 
 row nor the sum of the net export column has any comparability to published 
 trade data. Since imports and exports are recorded on a net basis, the 
 sums are functions of the particular aggregation used.— 
 
 Sector 29 , maintenance construction . — Output includes the value of all 
 
 2/ 
 
 maintenance work done on force account— in addition to that done by construc- 
 tion contractors. 
 
 1/ The difference between total net imports and total net exports might 
 be termed California's balance of trade. Note, however, that net exports 
 include most purchases by the Federal Government whether physically exported 
 or not. 
 
 2/ Force account construction, in contrast to contract construction, is 
 performed by the purchasing industries' own employees. 
 
 -18- 
 
^gc^ 30 > new construction .— Output includes force account work as well 
 as construction by contractors. Construction is defined as the design and 
 erection of immobile structures and utilities, together with those service 
 facilities which become an integral part of that structure. Oil well drilling 
 is Included. 
 
 Sector 31, state and local government . — Outputs are the services rendered 
 by state, county, city, special district, and school districts as measured by 
 the amount of taxes paid by each sector of the economy. Note that taxes are 
 considered government output rather than as inputs to government. Sectors " buy " 
 services by paying taxes. Inputs to government are the purchases of government 
 from other sectors. 
 
 Sector 32, Federal Government . — Output is the service rendered by the Fed- 
 eral Government as measured by the amount of taxes paid by each sector of the 
 economy. Inputs are Federal Government purchases. 
 
 Government purchases of California products could not be estimated except 
 for sectors whose output is mostly consumed in the region where produced. For 
 other sectors. Federal Government purchases were ignored and are thus included 
 in the net export sector. Since both net exports and Federal Government are a 
 part of final demand, the usefulness of the model is not appreciably affected 
 by this procedure. 
 
 Sectors 33 and 34 , inventory change . — These two sectors, Inventory addition 
 and inventory depletion, are included to reconcile current production with cur- 
 rent consumption. All inventories are assumed to be held by the producing sec- 
 tor. For the manufacturing and processing industries, where specific data were 
 not available, California was assumed to contribute its share to inventory 
 change, as measured by the California and Arizona sector's production relative 
 to the United States sector's production. 
 
 Sector 35 , gross private capital formation . — Capital iteins, such as ma- 
 chinery and new construction purchased by the private sectors of the economy, 
 are considered to be purchased by this 'dummy" sector. Depreciation is then 
 distributed to the using sector through the household sector. 
 
 Sector 36, households . — Inputs to this sector are expenditures for goods 
 and services by private individuals. The sum of all inputs (excluding taxes) 
 approximates "personal consumption expenditure" as estimated in the national 
 
 -19- 
 
income accounts of the Department of Commerce. Household flows to other sec- 
 tors are wages and salaries, proprietors' income, depreciation, and interest. 
 
 EMPIRICAL RESULTS -. 
 
 The resulting transaction tables, technical coefficient matrix, and 
 Interdependency matrixes (inverse) for the (1) California model (1958) and (2) 
 California-Arizona model (1958) are presented herein.—^ 
 
 The California Model 
 
 Transaction Table 
 
 Table 2 summarizes the interindustry flows of goods and services within, 
 to, and from California in 1958 by sector of origin and destination and repre- 
 sents the counterpart of Equation (1). 
 
 The entries in each row of Table 2 list In producers' prices the dollar 
 amount of a California sector's output purchased by each sector in the economy. 
 For example (reading across the first row) sector 1, meat animals and products, 
 sold $452,644,000 of products to meat and poultry processing (column 12) and 
 $67,000 of products to the "other manufacturing" sector (column 21). Contin- 
 uing to read across row 1 to the final demand columns shows that $212,000 of 
 output was distributed to scrap and by-products (column 27). $19,669 of out- 
 put went into inventory addition (column 33) — indicating increased breeding 
 stock. The households sector (column 36, 37) purchased $3,320,000 of meat 
 animals. This portion of output presumably did not pass through the market 
 but represents only meat products slaughtered and consumed on farms. Most meat 
 animals and products flow through the processing sector (sector 12) before 
 reaching the final consumer. The final column lists gross domestic output (GDC) 
 of the sector ($475,912,000). Other rows have analogous interpretations. 
 
 Each column of Table 2 represents for the designated sector its total 
 purchases from other sectors. Consider the poultry and egg sector (sector 2) 
 as an illustration. This sector purchases $57,836,000 of products from "itself" 
 
 If Corresponding results for the North-South California model are presented 
 in Appendix B. 
 
 -20- 
 
1 
 It 
 
 hi 
 
 4 
 
 li 
 II 
 
 ill! 
 u 
 
 I 
 I 
 
 I 
 
 II 
 
 il 
 
 iiyiiiiii 
 
 m 
 
 m 
 
 n 
 
 m 
 
 wi 
 wl 
 
 wl 
 
 m 
 
 m 
 m 
 
 33 
 t 
 
 111 
 
 ih 
 
 il 
 If 
 
 fiiiiiPiiii 
 
 iriHiiiippil 
 
 m 
 
 iff 
 
 ????? 
 
 mm 
 
 ??? 
 
 Ill 
 
 m 
 m 
 
 m 
 
 i, I 
 
 ill! 
 
 mmi 
 
 itilii 
 
 !! 
 il 
 
 li 
 
 Si 
 
 ■21- 
 
(row 2) . This includes the value of eggs sold to hatcheries and used for on-farm 
 hatchings, as well as the value of chicks and poults sold to farmers from hatch- 
 eries. The poultry sector's purchases of unprocessed food and feed grains 
 amounted to $26,445,000 (row A). Processed feeds purchased from the grain mill 
 products sector (row 11) are $88,135,000. 
 
 Other industry purchases by the poultry and egg sector include $985,000 of 
 chemicals and fertilizers (row 16), mainly veterinary supplies; $3,067,000 of 
 petroleum products (row 17); $4,317,000 of fabricated metals and machinery (row 
 18), mainly trucks and the farm share of autos ; $25,000 of primary metals (row 
 20); $1,860,000 of other manufactured products (row 21), mostly paper products, 
 but also including small amounts of textile products, rubber products, miscella- 
 neous products, and the products of the printing and publishing industries. 
 Natural gas, electricity, and telephone utilities (row 23) purchased amounted 
 to $2,190,000. Services purchased amounted to $1,687,000 (row 24) and the aggre- 
 gate trade and transportation margin on these inputs totaled $20,810,000 (row 
 25). All of these inputs were produced within California. The aggregate value 
 of net imports purchased by the poultry industry was $81,983 (row 28), most of 
 which was processed feeds. Sector UC 2 also "purchased:" $2,222,000 of main- . 
 tenance construction work and $12,368,000 of household services, including wages, 
 salaries, proprietors' profits, depreciation, interest payments, and state and 
 Federal Government services . Gross outlay (GO) is the total value of all inputs 
 ($326,035,000) which is equal to the Gross Domestic Output of the poultry and 
 egg sector. The purchases of the other sectors in 1958 may be similarly traced 
 by examining their respective column entries. 
 
 Technical Coefficients 
 
 Table 3 shows the direct purchases of each endogenous sector from every 
 other endogenous sector per dollar of output. All coefficients were calculated 
 directly from Table 2. Entries in endogenous rows 1 through 26 are the a^j's 
 of Equation 2. For example, California grown food and feed grains ($28,412,000) 
 purchased by the meat animal and product sector (row 4, column 1 in Table 2) 
 divided by the Gross Domestic Output of the meat animal sector ($475,912,000 
 shown in the last column of row 1) equals .059700 dollars (the entry in row 4, 
 column 1 of Table 3). Entries in other rows were obtained similarly. 
 
 -22- 
 
TULE 3 
 
 
 
 
 
 2 
 
 
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 T'annlnc, 
 
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 -0 
 
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 9 
 
 
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 12 
 
 Neat ud poulti} procsitlos 
 
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 13 
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 -0.000000 
 
 17 
 
 Petraleua 
 
 0 
 
 oooaol 0 
 
 009*07 
 
 0 
 
 000)99 
 
 a 
 
 0*5e*5 
 
 0 
 
 oil )9r 
 
 0 
 
 019*00 
 
 0.0)15)8 
 
 0 
 
 015*51 
 
 0 
 
 02*19* 
 
 0 
 
 0095S2 
 
 0.002)7) 
 
 0.001984 
 
 0 
 
 00*876 
 
 0.005619 
 
 -0.000000 
 
 -0.000000 
 
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 18 
 19 
 
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 16 
 
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 0 
 
 01234) □ 
 
 01)2*1 
 
 0 
 
 0106T1 
 
 0 
 
 07B795 
 
 0 
 
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 0 
 
 0)0*57 
 
 0.0*62*0 
 
 0 
 
 02)606 
 
 0 
 
 0*5*62 
 
 0 
 
 0165T0 
 
 0.007B6* 
 
 0.00*859 
 
 0 
 
 006016 
 
 0. 105177 
 
 0.018195 
 
 0.01S249 
 0.000047 
 
 19 
 
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 -0 
 
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 OOOOOO 
 
 -0 
 
 OOOOOO 
 
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 -0.000000 
 
 -0 
 
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 OOOOOO 
 
 -0,000000 
 
 -0.000000 
 
 -0 
 
 OOOOOO 
 
 -0.000000 
 
 -0.000000 
 
 0.166461 
 0.004890 
 0.106280 
 0.030004 
 0.000856 
 0.007117 
 0.002727 
 0.0497V* 
 0.042)10 
 
 20 
 
 
 
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 000077 
 
 0 
 
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 0000*5 
 
 0 
 
 000027 
 
 0 
 
 000058 
 
 0.0000 79 
 
 0 
 
 000025 
 
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 0.000019 
 
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 0.000299 
 
 
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 006969 
 
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 022870 
 
 0.027865 
 
 0 
 
 017170 
 
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 00)829 
 
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 005968 
 
 0.0)*561 
 
 0.00)669 
 
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 21 
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 00««04 0 
 
 006717 
 
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 006111 
 
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 005161 
 
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 00^*79 
 
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 006699 
 
 0.01006* 
 
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 0 
 
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 00S71S 
 
 0.00361) 
 
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 0.005179 
 
 0.012121 
 
 0.011201 
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 23 
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 35 
 36 
 
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 0 
 
 005103 0 
 
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 0 
 
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 00**62 
 
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 0.012226 
 
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 005025 
 
 0. 002995 
 
 0.0)0942 
 
 0 
 
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 0.005087 
 
 0. 00*595 
 
 0.008162 
 
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 0 
 
 0*06BB 
 
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 021)66 
 
 O.OJ*6IB 
 
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 01*199 
 
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 021697 
 
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 01B16B 
 
 0.0*7186 
 
 0.091779 
 
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 0.2046T) 
 
 0.097500 
 
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 to 
 to 
 I 
 
 NBBt aolsftla and products 
 nxiltry and sggs 
 Fara dairy products 
 rood and feed grains 
 
 Vegetables 
 
 Fruit (excluding citrus) 4 nuts 
 Citrus 
 
 mscellaacous agriculture 
 OralD Bill products 
 Meat and poultry processing 
 tally product* 
 
 canning, piaeei ilng, rreeiiog 
 KlsceiLaneoua agrl. proceasiiw 
 ChealcaJa and fei-tllliers 
 htroleuB 
 
 fabricated aetala and Bchlnery 
 
 Aircraft and parts 
 
 PrlHiy aetals 
 
 Otber aaiufacturlng 
 
 HinlDg 
 
 IRllltlei 
 
 Selected services 
 
 Trade and traoaporUtlDn 
 
 -0.000000 
 
 -0.000000 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 
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 -0.000000 
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 -0.000000 
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 0.006046 
 0.0)8649 
 0. 000066 
 0.158297 
 0.01*056 
 0.091)8* 
 0.021002 
 0.00)887 
 0.075203 
 0.025031 
 
 oouooo 
 
 OOOOOO 
 OOOOOO 
 
 025350 
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 011852 
 19*196 
 
 -0.O0O03O 
 -0.000000 
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 0.017465 
 0.0)*279 
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 0.021887 
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 0.0)7800 
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 -3.000000 
 -0.000000 
 
 -0.000000 
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 -0.000000 
 
 -0.00 0000 
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 0.0066*7 
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 -0.000000 
 
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 •0.000000 
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 -0.000000 
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 0.01478) 
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 a/ »ch entry aboua dollars of dlnet puredaaes rra« Uie Callfomla sector listed at the left by the OaJlfomla sector Hated at tba top per (tolltf of Output of th* tatter aeotor. 
 
In terdependency Coefficients ^ 
 
 Table 4 provides the numerical counterpart of the coefficients of the 
 (I-A)"''" matrix presented in Equation (5). These Interdependency or Inverse 
 coefficients show the direct and Indirect requirements for products of the row 
 sector per dollar of delivery to final demand of products of the column sector. 
 For example, the delivery of $1 of processed dairy products (sector 13) requires, 
 directly and indirectly, .000484 dollars from the meat animal and product (sec- 
 tor 1), .000272 dollars from poultry and eggs (sector 2), .464407 dollars from 
 the farm dairy products (sector 3), and so forth. The interrelationship between 
 sectors may be very apparent and substantial as with the farm dairy products 
 sector making direct sales of raw milk to the dairy processing sector or very 
 circuitous as one sector may be selling to a sector, which is in turn selling to 
 a sector, which is making direct sales to the sector in question. 
 
 The California-Arizona Model 
 
 Transaction Table ? 
 
 The interindustry flow of goods and services (or transaction table) between 
 California and Arizona sectors is presented in Table 5. These product trans- 
 actions (in thousands of dollars) are the empirical counterpart of Table 1. 
 California sectors are designated with a 'C' and Arizona sectors with "A." 
 For any sector, reading across the row gives "sales" to California sectors; 
 Arizona sectors are 'outside.' Sectors C28 and A28 are now defined as trade 
 sectors representing states other than California and Arizona and foreign 
 countries. 
 
 Trade patterns between Califortiia and Arizona are identified in quadrants 
 II and III of Table 5. Quadrant II provides estimates of Arizona gross imports 
 (for endogenous sectors 1-26) from corresponding California sector whereas 
 quadrant III gives similar estimates of California gross imports from Arizona 
 sectors. For ease in comparison, columns in these quadrants are summed and 
 presented in columns 1 and 2 of Table 6. The net trade relationship for each 
 sector is tabulated in columns 3 and 4. For example, California sector 1 (Meat 
 animals and products) purchased $1,776,000 of products from Arizona and the 
 corresponding Arizona sector purchased $943,000 of meat animals and products 
 
 -24- 
 
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 0.09656) 
 
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 167106 
 
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 0.00)152 
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 0.000040 
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 0.000256 
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 t pltu Indirect fqulri— nta for proAieta of t 
 
 ' CallfonilB cector 1 
 
 t left per dollar of f 
 
 i tar prodBcta of the California aector ll8t*l at the top. 
 
TULX $ 
 
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 C 10 
 
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 c 13 
 
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 dairy 
 
 
 
 
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 48187. 
 
 69273. 
 
 1202. 
 
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 C26 
 
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 261084. 
 
 129590. 
 
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 24627T. 
 
 707*96. 
 
 54T001. 
 
 957*66. 
 
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 22)101T. 
 
 A 1 
 
 mat tulMJe aad products 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 
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 -0. 
 
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 A 1 
 
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 Poultry aod egga 
 
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 11. 
 
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 -0, 
 
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 ts. 
 
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 -0. 
 
 1. 
 
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 -0. 
 
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 A 2 
 
 A 3 
 
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 -0. 
 
 -0. 
 
 15. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 461. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 A 3 
 
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 62. 
 
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 6. 
 
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 A l> 
 
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 -0. 
 
 42. 
 
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 A 5 
 
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 7. 
 
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 694. 
 
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 A 6 
 
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 rrult (axcludliw cltrui) A iiuti 
 
 -0. 
 
 -0. 
 
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 214. 
 
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 A a 
 
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 -0. 
 
 12*5. 
 
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 82. 
 
 70. 
 
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 A 9 
 
 A 10 
 
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 4. 
 
 11. 
 
 55. 
 
 46. 
 
 17. 
 
 6. 
 
 12. 
 
 19. 
 
 -0. 
 
 -0. 
 
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 B). 
 
 70. 
 
 16. 
 
 -0. 
 
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 A 10 
 
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 Grain ^ll 1 products 
 
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 -0. 
 
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 A 11 
 
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 Heat and poultry proceaaln^ 
 
 -0. 
 
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 A 12 
 
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 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 -0. 
 
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 -0. 
 
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 -0. 
 
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 A 13 
 
 A Ih 
 
 Canning, preBerrLos, fmilog 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0- 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 -0. 
 
 -0. 
 
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 A Ik 
 
 * 15 
 
 HliccLlAtieouE mgri. proeaaslne 
 
 -0. 
 
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 -0. 
 
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 -0. 
 
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 -0. 
 
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 A 15 
 
 A 16 
 
 CbolcalB and fertlllMra 
 
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 -0. 
 
 -0. 
 
 -0. 
 
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 •0. 
 
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 -0. 
 
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 A 16 
 
 A 17 
 
 Petroleia 
 
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 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 -ft. 
 
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 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 A 17 
 
 A 18 
 
 fabricated aetala and Mchlneiy 
 
 21. 
 
 
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 55. 
 
 20. 
 
 66. 
 
 74. 
 
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 17. 
 
 22. 
 
 14. 
 
 21. 
 
 18. 
 
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 114. 
 
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 229. 
 
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 742. 
 
 A 18 
 
 A 19 
 
 Alrcrkft and pa^s 
 
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 -0. 
 
 -0. 
 
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 -0. 
 
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 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -ft. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 A J9 
 
 A 20 
 
 Priory BetAli 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 A 20 
 
 A 21 
 
 Other aanuf acturing 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -a. - 
 
 -a. 
 
 -0.. 
 
 -0. 
 
 A 21 
 
 A 22 
 
 WnUis 
 inilltlea 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0, 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 3. 
 
 2. 
 
 2. 
 
 4. 
 
 4. 
 
 ST. 
 
 111. 
 
 10. 
 
 1. 
 
 A 22 
 
 A 23 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
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 -0. 
 
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 -0. 
 
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 -0. 
 
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 A 23 
 
 A 2i> 
 
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 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -ft. 
 
 -ft. 
 
 A ?K 
 
 A 25 
 A 26 
 
 Trade and tr«iuportatlOD 
 UwUooatcd 
 
 1%. 
 
 -a. 
 
 20. 
 
 24. 
 
 7. 
 
 5. 
 
 
 9, 
 
 2. 
 
 
 6. 
 
 20. 
 
 60. 
 
 62. 
 
 12*. 
 
 U2. 
 
 192. 
 
 119. 
 
 2». 
 
 9). 
 
 A £5 
 A 26 
 
 A 27 
 A 28 
 A 29 
 A 30 
 
 Sci^ and ^•product* 
 Vet Crmde outelda 
 ■klntanancsi^'tautruct Ion 
 
 Bouaetaolda and uiin i ii iit 
 
 -0. 
 -0. 
 
 6. 
 -0. 
 -0. 
 
 -0. 
 -0. 
 «. 
 
 -0. 
 -0. 
 
 -0. 
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 A. 
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 -0. 
 
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 4. 
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 -0. 
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 -0. 
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 -0. 
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 7. 
 -0. 
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 -0. 
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 10. 
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 2. 
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 -0. 
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 1. 
 
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 -8. 
 
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 1. 
 
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 1. 
 
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 1. 
 
 -0. 
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 -0. 
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 -0. 
 -0. 
 
 -0. 
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 -0. 
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 -0. 
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 2. 
 -0. 
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 4. 
 
 -0. 
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 -0. 
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 -ft. 
 
 4. 
 
 -0. 
 -0. 
 
 A ST 
 A 28 
 A 29 
 A W 
 
 CaiOSS ODTLAI 
 
 *T59U. 
 
 326015. 
 
 399S90. 
 
 177030. 
 
 100069. 
 
 5*a 1 so . 
 
 409601. 
 
 158829. 
 
 206568. 
 
 342111. 
 
 440T2S, 
 
 1211629. 
 
 7»947». 
 
 162)109. 
 
 18696*9. 
 
 141T2TT. 
 
 )1564I8. 
 
 900)122. 
 
 1S690I9. 
 
 CO. 
 
 {^Btljauad go mt } 
 
TWLE % eontlDuetf. 
 
 C 7 
 
 c a 
 
 C 9 
 C 10 
 c u 
 
 C 1? 
 
 c 13 
 
 C Ik 
 
 c 15 
 C 16 
 C IT 
 C 18 
 c 19 
 
 C 10 
 C 81 
 C 22 
 C 23 
 
 Heat and product 
 
 Poultry and c^fe 
 Pans italry produete 
 Food and feed gnlaa 
 
 Flult (e»cludtoe cltnn) ft n 
 
 Mlacelljuiecnia »(;rl culture 
 Grain Bill producta 
 Maat and poultry processing 
 IMlty products 
 
 Canning, preiervlog, freeilim 
 Klacellaneous agrl. procei 
 ChoaJcalB and rertlllrerB 
 
 Fabricated BCtals and aachlKiy 
 AlrcTKft and parts 
 enmaiy ■etaia 
 
 WniDe 
 
 tnilltles 
 
 Selected services 
 
 Trade and tranapartation 
 
 Unall seated 
 
 11*11. 
 
 T3B8. 
 •7231. 
 SI. 
 
 IT17T. 
 111616. 
 
 »1«01. 
 
 119. 
 1621. 
 
 12T697. 
 98T9. 
 
 69T80. 
 981267. 
 
 $2688. 
 
 57987. 
 
 26*2}. 
 »*T7J7. 
 1607«6. 
 
 *68Z. 
 
 69b7. 
 19152. 
 -0. 
 
 6899. 
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 1*05*. 
 
 86*6. 
 
 17310. 
 
 21(10. 
 1*2103. 
 501860. 
 
 *022*. 
 263031. 
 1 15)55. 
 599660. 
 
 -0. 
 196. 
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 1566. 
 116*. 
 1196. 
 5603. 
 183*65. 
 608*1. 
 221*0. 
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 10933*. 
 
 2665. 
 2*009 3. 
 205 750. 
 )86059. 
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 *9b9S. 
 125501. 
 136615. 
 
 16597. 
 50*302. 
 
 15999. 
 206122. 
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 5006*4. 
 1795136. 
 
 8329. 
 2*2S*. 
 
 3186. 
 70288. 
 39)86. 
 )*55Z. 
 35937. 
 
 -212. 
 
 -2105. 
 28*2*2. 
 1263*9. 
 
 5)899. 
 10*02*. 
 
 102)180. 
 -)*215. 
 -15977. 
 391021. 
 -63*33. 
 207*2*1. 
 -1*1*1. 
 -12)05. 
 
 35315. 
 
 -30 TO. 
 *8l»l). 
 - 13072. 
 
 93217. 
 
 *6258. 
 122006. 
 -0, 
 
 4*160. 
 101274. 
 
 18510. 
 3991. 
 
 3)1*0. 
 202*8*. 
 
 2*143. 
 
 51)7*. 
 111091. 
 7)6102. 
 
 -0. 
 2286)0. 
 6604 38. 
 820). 
 22441. 
 72)5. 
 789771. 
 402475. 
 
 19)). 
 8*20. 
 5B0?. 
 124)6. 
 10598. 
 53937, 
 5950*. 
 12B791. 
 -0. 
 
 21803. 
 95*20. 
 2505*. 
 99T)*. 
 220479. 
 
 19669. 
 124). 
 2928. 
 5190. 
 
 1760. 
 4904. 
 )06*. 
 6462. 
 7051 . 
 
 *l*2). 
 5*)90). 
 201668. 
 296422. 
 
 2*720. 
 1129. 
 295460. 
 88913. 
 
 C 27 
 
 C 28 
 
 C 29 
 
 Scrap and -products 
 ■at trvde fron outaide 
 Ifejntanance eons truet lor 
 
 HouaebaldA and gcnenoKH 
 
 422)2. 
 177*1*. 
 5*86. 
 
 1026*. 
 252671, 
 8)55. 
 
 9916. 
 209598. 
 29159. 
 
 10IS6. 
 288549, 
 185218. 
 
 172849. 
 
 58064*. 
 1097)68. 
 234*207. 
 
 37097. 
 11BI68. 
 ))*846. 
 565)978. 
 
 A 10 
 A U 
 A 12 
 A 13 
 
 Heat anlaali and products 
 Poultry and egg a 
 Fara dairy products 
 Pood and feed grains 
 
 Klicellaneaui asrlculture 
 Cr«ln Bill products 
 Maat and poiatiy processing 
 O^lrj products 
 
 canning, preserrlng, freeilng 
 KlacellADeaua a^l. processing 
 
 t^trolra 
 
 Fatarioated aetals and mchlnrry 
 ALrcTBft and parta 
 Prlaaiy aetals 
 
 Sllltles 
 
 Sslected serrlces 
 
 Trade and traniportation 
 
 Sci^ and by-pro<h]Ct> 
 Bet trade vith outside 
 thlataoancc coQctructloo 
 Hev canatructloD 
 Houaaholda and gunriMaut 
 
 GROSS OtmAI 
 
 (ContlaMd on Dazt pM*.) 
 
I 
 
 00 
 
 I 
 
 C 10 
 
 c u 
 
 C 12 
 C 13 
 C lU 
 C 15 
 C 16 
 C IT 
 C 18 
 C 19 
 C 20 
 C £1 
 C 22 
 C 21 
 C 01. 
 C 25 
 C 26 
 
 Sector title 
 
 Meat anlaalt aod pruduc 
 Poultry ktid cKe* 
 Fbtb dklry products 
 rood wd feed grkliu 
 
 Vesetablen 
 
 Fruit (occluding citrus 
 
 KLacellsseouB agrl culture 
 Znin mill products 
 Ifeet end poultn' pro^esilng 
 [kiry products 
 
 Canning, preserving, frvetlng 
 Ml icrUeneoua OKrl. proeesiing 
 C3ieBi?&lg and fertillters 
 I*troleiBB 
 
 FUrlcated nttals and mchlnery 
 Alpcrert and parts 
 PrlBary netalE 
 
 Utllltiee 
 
 Selected servlcea 
 
 Trade and tnneportatlon 
 
 UoallocBted 
 
 dairy 
 
 doS-ai 
 
 fert. 
 
 Scrap and by-produeti 
 Met tnde rrca outside 
 Ikinteawice conatruetlon 
 Hsv construct Ion 
 Households and gcnerraeDt 
 
 k 
 
 1 
 
 Heat anlaals and products 
 
 
 
 poultry and eggs 
 
 
 3 
 
 Fan dairy products 
 
 
 1> 
 
 Food and read drvlne 
 
 A 
 A 
 
 5 
 6 
 
 Vetetables 
 
 A 
 
 7 
 
 FKlt (cxcludlDg citrus) h nuts 
 
 
 & 
 
 Citrus 
 
 A 
 
 9 
 
 Forage 
 
 
 10 
 
 MlscellAneous agriculture 
 
 
 
 Grain nlll products 
 
 
 12 
 
 ffeat and poultry processing 
 
 
 13 
 
 Qalry products 
 
 A 
 
 
 Canning, preserving, freeilng 
 
 A 
 
 15 
 
 Hisceliancous agrl. procesiine 
 
 
 1& 
 
 Chentlcali and fertlliiers 
 
 
 IT 
 
 
 
 16 
 
 Fabricated swtals and nactilnery 
 
 
 19 
 
 Aircraft and parts 
 
 A 
 
 
 Primary vtals 
 
 
 31 
 
 Otlier snufactui-ing 
 
 A 
 
 22 
 
 Killing 
 
 
 23 
 
 [ttllltleH 
 
 A 
 
 
 Selected sertlees 
 
 A 
 
 25 
 
 Trade nod transportation 
 
 
 26 
 
 unallocated 
 
 1SB9J. 
 J079. 
 1S60. 
 
 A 28 
 A 3& 
 A 30 
 
 Scr^ and by-products 
 Bet trade vlth outs' de 
 Halatenacce construe tio 
 
 Kousebolda and gove 
 
 CROSS am/I 
 
TUU ^ coallnuxl 
 
 
 
 
 
 
 A 
 
 
 A ^1* 
 
 A2* 
 
 A ^ ■ 1 
 
 
 A J!! 
 
 A ?9 
 
 A 30 
 
 A Jl 
 
 A 32 kV, 
 
 A3'. A 35 
 
 
 
 
 
 
 
 
 
 
 
 
 Trtde 
 
 
 Scrap 
 
 Net trade 
 
 
 State A 
 
 
 
 Inver 
 
 
 
 CROSS 
 
 
 Sector 
 
 
 
 
 
 
 
 Selected and 
 
 Onal- 
 
 
 -1th 
 
 >taint. 
 
 Nev 
 
 local 
 
 Federal toiy 
 
 
 □rd. cap. All houae- 
 
 DOMIOTTC 
 
 Sector 
 
 
 
 
 
 Mininji 
 
 irttlitleE 
 
 
 
 
 by- prod. nitaldi 
 
 
 
 
 
 
 deple 
 
 t'n fo™. 
 
 
 
 
 C 1 
 
 Mest ' and products 
 
 -0 
 
 -0 
 
 -0 
 
 m«uaajii. ^ 
 
 
 
 -0 
 
 
 
 
 
 
 -0. 
 
 -0. 
 
 ttMusaal a 
 
 -0 
 
 flllara 
 
 288. 
 
 -0 
 
 -0 
 
 209. 
 
 475911. 
 
 C 1 
 
 C 2 
 
 Poultry «4ifl eggs 
 
 -0 
 
 
 
 
 
 -0 
 
 -0 
 
 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 339. 
 
 -0 
 
 -0 
 
 
 326015. 
 
 C 2 
 
 C 3 
 
 F^rn dmli^ products 
 
 -0 
 
 -0 
 
 -0 
 
 
 
 -0 
 
 -0 
 
 
 
 
 
 -0. 
 
 
 -0. 
 
 -0 
 
 
 -0 
 
 -0 
 
 Ill 
 
 395590. 
 
 C 3 
 
 C 
 
 C 5 
 
 
 -0 
 -0 
 
 -0 
 
 -0 
 -0 
 
 -0 
 
 
 -0 
 -0 
 
 -0 
 -0 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0, 
 •0. 
 
 -0. 
 
 -n. 
 
 -0. 
 
 -0 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 -0 
 
 1. 
 -0. 
 
 ITT030. 
 300069. 
 
 C tl 
 C 5 
 
 C 6 
 
 Vegetables 
 
 
 
 
 
 
 -0 
 
 -0 
 
 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 
 -0 
 
 15. 
 
 54ai50. 
 
 c 6 
 
 C T 
 
 Fruit (excludlo^ cltrui) \ nuts 
 
 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0 
 
 
 -0 
 
 677 
 
 -0. 
 
 -0. 
 
 1. 
 
 -0 
 
 -0. 
 
 ■0 
 
 -0 
 
 1706. 
 
 405600, 
 
 C 7 
 
 
 
 
 
 
 
 
 -0 
 
 -0 
 
 
 
 
 
 -0. 
 -0. 
 
 -0. 
 -0. 
 
 '0. 
 -0. 
 
 -0 
 -0 
 
 -0. 
 -0. 
 
 -0 
 -0 
 
 -0 
 
 -0 
 
 97. 
 -0. 
 
 158825. 
 206568. 
 
 C 5 
 C 9 
 
 C 10 
 
 Kl»eeLl«neou» «*Tlculture 
 
 -0 
 
 1 r 
 
 -0 
 
 
 
 -0 
 
 -0 
 
 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 ■0 
 
 -0 
 
 10. 
 
 3*2)10. 
 
 C 10 
 
 
 □rain Bill products 
 
 
 
 
 
 
 
 
 
 
 
 
 -0. 
 
 -0. 
 
 59. 
 
 -0 
 
 -0. 
 
 
 -0 
 
 2315. 
 
 4*0727. 
 
 c u 
 
 C 12 
 
 Meat and poultry proceBslng 
 
 -0 
 
 ■0 
 
 -0 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 -0. 
 
 12116)0. 
 
 C 12 
 
 C 13 
 
 [klry products 
 
 -0 
 
 -0 
 
 -0 
 
 -0 
 
 
 -0 
 
 -0 
 
 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 -0. 
 
 769477. 
 
 
 C lu 
 
 fanning, preserving, freeilng 
 
 
 1 T 
 
 -0 
 
 -0 
 
 
 3* 
 
 153 
 
 3882 
 
 
 -0 
 
 -0 
 
 -0. 
 
 -0. 
 
 289. 
 
 
 6 30. 
 
 -0 
 
 -0 
 
 64687. 
 
 1623104, 
 
 C lU 
 
 C li' 
 
 n. EC el lane IMS asrl. procesilnii 
 
 -0 
 
 
 
 
 
 li* 
 
 52 
 
 135* 
 
 
 
 
 -0. 
 
 -0. 
 
 41. 
 
 -0 
 
 23. 
 
 -0 
 
 -0 
 
 31165. 
 
 18696S6, 
 
 C 15 
 
 C 16 
 
 CbemlcalE and fertilizers 
 
 
 31S 
 
 1*59 
 
 
 
 
 *1 
 
 207 
 
 
 
 
 584. 
 
 *20. 
 
 
 -0 
 
 15. 
 
 -0 
 
 -0 
 
 
 1*37278. 
 
 C 16 
 
 C IT 
 
 PetroleuB 
 
 21 
 
 It 
 
 87 
 
 
 
 *3 
 
 312 
 
 100 
 
 
 
 
 81. 
 
 192. 
 
 60. 
 
 -0 
 
 -0. 
 
 -10 
 
 -0 
 
 1252. 
 
 )156*1B. 
 
 C IT 
 
 
 
 
 
 
 
 
 ?316 
 
 
 582 7 
 
 
 
 
 32*1. 
 
 
 
 -0 
 
 -0. 
 
 -1174 
 
 75*7 
 
 8383. 
 
 5003122. 
 
 C 19 
 
 Aircraft and parts 
 
 
 -0 
 
 
 
 
 -0 
 
 -0 
 
 -0 
 
 
 
 
 -0. 
 
 -o! 
 
 -0. 
 
 -0 
 
 -0. 
 
 
 -0 
 
 -0. 
 
 3S69019. 
 
 C 19 
 
 
 Prlasry oetals 
 
 
 
 260 
 
 
 
 5 
 
 22 
 
 II* 
 
 
 
 
 201. 
 
 618. 
 
 
 -0 
 
 96. 
 
 -0 
 
 -0 
 
 
 1222036. 
 
 C 20 
 
 
 Other Banufacturing 
 
 ITl 
 
 
 513 
 
 
 
 15B 
 
 
 3237 
 
 
 
 
 •56. 
 
 6T2S. 
 
 195. 
 
 
 22. 
 
 -0 
 
 2B5 
 
 5076. 
 
 5037396. 
 
 C 21 
 
 c 2e 
 
 Nlnlna 
 
 J3T 
 
 70 
 
 
 
 
 -0 
 
 -0 
 
 
 
 
 
 21. 
 
 101. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 -0. 
 
 395021, 
 
 C 22 
 
 C 23 
 
 l/tmtles 
 
 6T 
 
 ".5 
 
 1*5 
 
 
 
 
 27* 
 
 272 
 
 
 
 
 5. 
 
 25. 
 
 52. 
 
 60 
 
 -0. 
 
 
 17 
 
 1107. 
 
 2222819. 
 
 C 23 
 
 
 
 -0 
 
 -0 
 
 -0 
 
 
 
 -0 
 
 -0 
 
 -0 
 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 381I90T. 
 
 C 2li 
 
 C 2i 
 
 Trade and transportation 
 
 
 
 11*3 
 
 
 
 1359 
 
 21*0 
 
 10*2 
 
 
 
 
 114*. 
 
 *169. 
 
 2»T. 
 
 1536 
 
 -0. 
 
 •0 
 
 1081 
 
 18728, 
 
 11111113. 
 
 C 25 
 
 C ?6 
 
 UrMdlocated 
 
 
 -0 
 
 -0 
 
 
 
 -0 
 
 -0 
 
 -0 
 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 -0. 
 
 1 39*2913. 
 
 C 27 
 
 Scrqp and tqf-produet* 
 
 
 
 
 -0 
 
 
 -0 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 -0. 
 
 116165. 
 
 C 27 
 C 2B 
 
 
 net trade fm outside 
 
 
 
 
 -0 
 
 
 -0 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 -0. 
 
 5811421. 
 
 C 29 
 
 Mintenance construction 
 
 
 
 
 62B 
 
 
 
 
 5291 
 
 
 -0 
 
 -0 
 
 
 5. 
 
 4182. 
 
 460 
 
 -0. 
 
 -0 
 
 -0 
 
 -0. 
 
 2276251. 
 
 C 29 
 C JO 
 
 C 30 
 
 New construct Ion 
 
 
 
 
 -0 
 
 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 -0. 
 
 -0. 
 
 1911 
 
 -0. 
 
 -0 
 
 34872 
 
 -0. 
 
 6970405. 
 
 
 Households and govemnent 
 
 
 
 
 -0 
 
 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 
 438*0257, 
 
 
 
 Heat afilxals and products 
 
 
 
 
 
 
 -0 
 
 -0 
 
 -0. 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 3161. 
 
 -0 
 
 -0 
 
 2294. 
 
 142824. 
 
 A 1 
 
 * 2 
 
 Poultry and eggs 
 
 
 
 
 
 
 -0 
 
 -0 
 
 -0. 
 
 
 
 -0. 
 
 
 -0. 
 
 -0 
 
 142. 
 
 -0 
 
 -0 
 
 7016. 
 
 8117. 
 
 A 2 
 
 
 Park dairy products 
 
 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0 
 
 430. 
 
 -0 
 
 -0 
 
 1300. 
 
 29 7)5. 
 
 A 3 
 
 
 Food and feed grains 
 
 
 
 
 
 
 -0 
 
 -0 
 
 -0. 
 
 
 
 -0. 
 
 -0. 
 
 10. 
 
 -0 
 
 2127, 
 
 -0 
 
 -0 
 
 
 28162. 
 
 
 
 
 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 1309B 
 
 *97T5 
 
 -0. 
 
 -0. 
 
 
 -0 
 
 69 790. 
 
 -0. 
 
 -0 
 
 -0. 
 
 150795. 
 
 A 5 
 
 
 
 
 
 
 -0 
 
 
 -0 
 
 -0 
 
 -0. 
 
 -0 
 
 58911 
 
 -0. 
 
 -0. 
 
 
 -0 
 
 -0- 
 
 -0 
 
 -0 
 
 12329. 
 
 738*1, 
 
 
 
 Fruit (excluding citrus) \ nuts 
 
 
 
 
 -0 
 
 
 ■0 
 
 -0 
 
 -0. 
 
 -0 
 
 *52 
 
 -0. 
 
 
 1. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 11)8. 
 
 1700. 
 
 
 
 
 -0 
 
 
 
 
 
 -0 
 
 -0 
 
 -0. 
 
 
 
 -0. 
 
 
 1. 
 
 -0 
 
 -0. 
 
 -0 
 
 -0 
 
 2165. 
 
 9898. 
 
 A 8 
 
 A 9 
 
 
 
 
 
 
 
 -0 
 
 -0 
 
 -0. 
 
 
 
 -0. 
 
 -0. 
 
 30. 
 
 -0 
 
 -0. 
 
 -320 
 
 -0. 
 
 -0. 
 
 34261. 
 
 A 9 
 
 A 10 
 
 MisceIlaji?ouft agriculture 
 
 -0 
 
 21S2 
 
 -0 
 
 
 
 
 -0 
 
 
 
 
 -0. 
 
 -0. 
 
 
 -0 
 
 -0. 
 
 -11. 
 
 -0. 
 
 1251. 
 
 26889. 
 
 A 10 
 A U 
 
 
 Grain silU pro^lucts 
 
 
 
 
 
 
 3 
 
 16 
 
 
 
 
 -0. 
 
 
 251. 
 
 -0 
 
 -0. 
 
 
 -0. 
 
 9902. 
 
 23273. 
 
 A 12 
 
 Heat and poultry processing 
 
 -0 
 
 29 
 
 -0 
 
 -0 
 
 
 la 
 
 TT 
 
 zooal 
 
 -0 
 
 -0 
 
 -0. 
 
 -ol 
 
 
 -0 
 
 109. 
 
 -0 
 
 -0. 
 
 46260. 
 
 51608. 
 
 A 12 
 
 A 13 
 
 EWiy products 
 
 -0 
 
 J 
 
 -0 
 
 -0 
 
 
 
 71 
 
 1B26. 
 
 -0 
 
 -0 
 
 -0. 
 
 -0. 
 
 512. 
 
 -0 
 
 
 -0 
 
 -0. 
 
 3B661, 
 
 461*2. 
 
 A 1^ 
 
 
 Canning, preiervlng, freezing 
 
 -0 
 
 1 
 
 -0 
 
 -0 
 
 
 2 
 
 
 228. 
 
 -0 
 
 
 -0. 
 
 -0. 
 
 17. 
 
 -0 
 
 37. 
 
 -0. 
 
 -0. 
 
 3 799. 
 
 *161. 
 
 A 15 
 
 Klscellaneous s^I. processing 
 
 -0 
 
 
 -0 
 
 -0 
 
 
 IT 
 
 
 1997. 
 
 9 
 
 -0 
 
 -0. 
 
 -0. 
 
 
 -0 
 
 34. 
 
 -0. 
 
 -0. 
 
 4)955. 
 
 50*51. 
 
 A 15 
 
 
 Cbaalcals and fertillMrs 
 
 
 T6 2 
 
 JS5T 
 
 19 
 
 
 *00 
 
 
 50*. 
 
 10599 
 
 -0 
 
 1*21. 
 
 1025. 
 
 401. 
 
 -0 
 
 16. 
 
 -0. 
 
 -0. 
 
 10090. 
 
 3899). 
 
 A 10 
 
 A 17 
 
 Petroleua 
 
 11 
 
 31 
 
 91 
 
 55 
 
 
 *5 
 
 328 
 
 105. 
 
 2 
 
 -0 
 
 
 202. 
 
 61. 
 
 -0 
 
 -0. 
 
 -10. 
 
 -0. 
 
 1317. 
 
 2652. 
 
 A 17 
 
 A 19 
 
 
 
 
 
 HIT 
 
 
 3602 
 
 
 
 7 38 
 
 -9706 
 
 50*1. 
 
 27616. 
 
 671. 
 
 
 
 - 1826. 
 
 
 
 9a6»0. 
 
 A \b 
 
 Prlsiary wetaJ^"^ 
 
 
 ITt 
 
 -0 
 
 -0 
 
 
 20*2 
 
 79f 
 
 569*. 
 
 216 
 
 72002 
 
 
 -0. 
 
 -0. 
 
 -0 
 
 -0. 
 
 -2878. 
 
 1011. 
 
 ISB. 
 
 9B9B9. 
 
 A 19 
 
 A 20 
 
 
 i2S59 
 
 a«s 
 
 3025 
 
 
 
 
 
 1**1. 
 
 l*3a 
 
 a*i*5 
 
 2159. 
 
 7*16. 
 
 -0. 
 
 -0 
 
 Ilia. 
 
 
 -0. 
 
 Tl. 
 
 164418. 
 
 A 20 
 
 A 21 
 
 Other Banufacturiog 
 
 
 266S0 
 
 *0*T 
 
 72a 
 
 
 ;S2* 
 
 2710 
 
 25511. 
 
 29 7 
 
 **9 
 
 T518. 
 
 
 
 -0 
 
 176. 
 
 -qI 
 
 2249. 
 
 40007. 
 
 
 
 A 22 
 
 Mining 
 
 
 30*6 
 
 6a3T6 
 
 ** 
 
 
 1 
 
 
 
 -0 
 
 221503 
 
 1018. 
 
 4*0l! 
 
 2. 
 
 -0 
 
 -0. 
 
 -0. 
 
 -0. 
 
 10. 
 
 314519, 
 
 A 22 
 
 A 23 
 
 Utilities 
 
 «oeo 
 
 2 7*3 
 
 BS27 
 
 19290 
 
 
 3621 
 
 16761 
 
 16603. 
 
 -0 
 
 308*0 
 
 285. 
 
 1500. 
 
 1201. 
 
 1691 
 
 -0. 
 
 -0. 
 
 1066. 
 
 6 76 34. 
 
 187502. 
 
 A 23 
 
 A 21* 
 
 Selected senrlces 
 
 9060 
 
 911 
 
 3** 
 
 295 
 
 
 115*0 
 
 10*98 
 
 11198. 
 
 -0 
 
 55695 
 
 17*. 
 
 
 84 1. 
 
 10034 
 
 -0. 
 
 -0. 
 
 -0. 
 
 10*229. 
 
 209811. 
 
 
 A 23 
 
 Trade and tranaportBtlan 
 
 11&60 
 
 11612 
 
 3B62 
 
 
 13805 
 
 217*3 
 
 30911. 
 
 -0 
 
 12*68 
 
 116*6. 
 
 44391. 
 
 1014. 
 
 15608. 
 
 -0. 
 
 -0. 
 
 11006. 
 
 19 3508. 
 
 6)2496. 
 
 A 25 
 
 A 2fc 
 
 m^llocated 
 
 
 103S9 
 
 21T90 
 
 25728 
 
 
 2*22* 
 
 92B29 
 
 1*0128. 
 
 -0 
 
 5438 
 
 15*4. 
 
 24*59. 
 
 103271. 
 
 26300 
 
 -0. 
 
 -0. 
 
 3526. 
 
 467446. 
 
 994541. 
 
 A 26 
 
 A 27 
 
 Scrap and by-proAicts 
 
 1620 
 
 2S 
 
 55 
 
 -0 
 
 
 2*6 
 
 135 
 
 55. 
 
 -0 
 
 7859 
 
 22. 
 
 118. 
 
 397. 
 
 -0 
 
 
 -0. 
 
 -0. 
 
 20. 
 
 29295. 
 
 A 27 
 
 A 2t 
 
 A 28 
 
 net trade vlth outside 
 
 1*1** 
 
 30126 
 
 37922 
 
 1369a 
 
 
 2T534 
 
 19*58 
 
 30289. 
 
 -505* 
 
 -0 
 
 1166*. 
 
 35739. 
 
 6609. 
 
 30092 
 
 -157a! 
 
 1201. 
 
 -10834. 
 
 273090. 
 
 66674), 
 
 A 29 
 
 IklntaDBDce construction 
 
 104 
 
 331 
 
 *22 
 
 669T 
 
 
 2211 
 
 11806 
 
 56**8. 
 
 -0 
 
 -2175 
 
 9. 
 
 55. 
 
 4*611. 
 
 *911. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 130929. 
 
 A 29 
 A 30 
 
 A 30 
 
 net construction 
 
 -0 
 
 -0 
 
 -0 
 
 -0 
 
 
 -0 
 
 
 -0. 
 
 ■0 
 
 -6121 
 
 -0. 
 
 -0. 
 
 -0. 
 
 1111*. 
 
 -0. 
 
 -0. 
 
 216836. 
 
 -0. 
 
 2*9958. 
 
 
 Bcusetulils and goverment 
 
 51 TO* 
 
 r9o»6 
 
 ISDI6* 
 
 113*78 
 
 
 11 3065 
 
 **8999 
 
 6*1750. 
 
 -0 
 
 -0 
 
 8ia76. 
 
 11T059. 
 
 1418)8. 
 
 3902*8. 
 
 -0. 
 
 -0. 
 
 -0. 
 
 -0, 
 
 2778298. 
 
 oBoas «m/j 
 
 
 IT5T91 
 
 316SI1 
 
 18T50I 
 
 
 209831. 632*9a 
 
 9945*1. 
 
 29296. 7*t*39 
 
 110924. 
 
 169076. 
 
 313269. 
 
 *979B5. 
 
 T7204. 
 
 -5129. 
 
 100421. 
 
 1T1B192. 
 
 126487619. 
 
 CO. 
 
 ^ch entry shcvs the value or goods and services prahiced by Oalifomia or Arliona sector llsteC at the left that wwr* puTCha»ed by ths California or Arlzoaa sector listed at the top. 
 Sixr coluBm and rw tcrtsls do not add up exactly ihie to rounding. 
 
TABLE 6 
 
 California-Arizona Gross Trade Relations, 1958 
 
 
 
 Arizona gross 
 
 California 
 
 
 
 Sector 
 
 
 imports from 
 
 gross imports 
 
 California sectors 
 
 number 
 
 Sector title 
 
 California 
 
 from Arizona 
 
 Surplus 
 
 Deficit 
 
 
 
 1 
 
 2 
 
 3 
 
 4 
 
 
 
 thousand dollars 
 
 1 
 
 Meat animals and products 
 
 943 
 
 1,776 
 
 
 
 833 
 
 2 
 
 Poultry and eggs 
 
 2,900 
 
 387 
 
 2,513 
 
 — 
 
 3 
 
 Farm dairy products 
 
 855 
 
 1,595 
 
 
 
 740 
 
 4 
 
 Food and feed grains 
 
 777 
 
 139 
 
 638 
 
 — 
 
 5 
 
 Cotton 
 
 1,549 
 
 125 
 
 1,424 
 
 — 
 
 6 
 
 Vegetables 
 
 626 
 
 137 
 
 489 
 
 — 
 
 7 
 
 Fruits (excluding citrus) and nuts 
 
 26 
 
 110 
 
 — 
 
 84 
 
 8 
 
 Citrus fruit 
 
 112 
 
 25 
 
 87 
 
 — 
 
 9 
 
 Forage crops 
 
 282 
 
 56 
 
 226 
 
 — 
 
 10 
 
 Miscellaneous agriculture 
 
 227 
 
 132 
 
 95 
 
 — 
 
 11 
 
 Grain mill products 
 
 1,244 
 
 1,215 
 
 29 
 
 — 
 
 12 
 
 Meat and poultry processing 
 
 3,392 
 
 228 
 
 3,164 
 
 
 13 
 
 Dairy products 
 
 814 
 
 548 
 
 266 
 
 
 14 
 
 Canning, preserving, and freezing 
 
 590 
 
 1,822 
 
 
 1,232 
 
 15 
 
 Miscellaneous agricultural processing 
 
 3,520 
 
 638 
 
 2,882 
 
 
 16 
 
 Chemicals and fertilizers ; 
 
 2,161 
 
 290 
 
 1,871 
 
 
 17 
 
 Petroleum 
 
 39 
 
 489 
 
 
 450 
 
 18 
 
 Fabricated metals and machinery 
 
 7,431 
 
 3,520 
 
 3,911 
 
 
 19 
 
 Aircraft 
 
 4,362 
 
 800 
 
 3,562 
 
 
 20 
 
 Primary metals 
 
 7,620 
 
 619 
 
 7,001 
 
 
 21 
 
 Other manufacturing 
 
 5,789 
 
 1,044 
 
 4,745 
 
 
 22 
 
 Mining 
 
 5,636 
 
 177 
 
 5,459 
 
 
 23 
 
 Utilities 
 
 2,224 
 
 590 
 
 1,634 
 
 
 24 
 
 Selected services 
 
 4,558 
 
 714 
 
 3,844 
 
 
 25 
 
 Trade and transportation 
 
 4,987 
 
 789 
 
 4,198 
 
 
 26 
 
 Unallocated services 
 
 21,435 
 
 1,712 
 
 19,723 
 
 
 
 TOTAL 
 
 84,099 
 
 19,677 
 
 67,761 
 
 3,339 
 
from California. Thus, California sector 1 has a net deficit of $833,000. In 
 terms of production agriculture (sectors 1-10) Arizona has a net deficit of 
 $3,815,000 ($8,297,000-$4,482,000) . Only 5 California sectors have a nega- 
 tive trade balance as compared to 21 Arizona sectors. 
 
 Technical Coefficients 
 
 Table 7 gives the direct requirements per dollar of output for the com- 
 bined California-Arizona economy and were derived from the relationship shown 
 in Equation (9a) - (9d) . 
 
 Direct and Indirect Coefficients 
 
 The inverse matrix (N in Equation 11c) shows the direct and indirect 
 effect on output for each of the 26 sectors in the 2 states in relation to 
 a one dollar change in final demand (Y J incurred in either state for any 
 sector j (Table 8) . We can summarize the total direct and indirect effects 
 
 on each sector by summing down the N matrix; specifically, we define the 
 
 * * c a 1/ 
 
 ''total effects ' as a 1 x 52 partitioned vector K = [1] N = [K : K J .-' 
 
 Likewise taking column sums for the submatrices of N separates this total 
 
 effect' into individual state components. This is, K = [1] A , K = 
 
 [1] M**^ and k'^^ = [1] M*^ and K^^ = [1] A*^ where [1] is a 1 x 26 sum vector.-^ 
 
 California dependence on Arizona . — One measure of California's dependence 
 
 3.C 
 
 on Arizona can be defined as the ratio of corresponding coefficients in K 
 and K*^ as presented in Table 9. For example, the total output generated in 
 bot h California and Arizona from a one dollar change in final demand for pro- 
 ducts of sector 1 (Meat animals and products) is $1.646616 (K^) . The partial 
 sum of K^'^ which provides an estimate of direct plus indirect output generated 
 in Arizona to sustain one dollar of final demand for products of California 
 sector 1 is 004684. The ratio of this partial ' to total effects" ($.002845) 
 gives an index of California sector 1 dependence on Arizona sectors. Column 4 
 (Table 9) ranks the index measures in the order of decreasing magnitudes. Cali- 
 fornia sectors 3 (Farm dairy products), 1 (Meat animals and products), 11 (Grain 
 
 1/ [1] is a 'a unit vector of appropriate dimensions. 
 2/ By definition k'^ = k""*^ + K^'^ and = K^^ + K^^. 
 
 -31- 
 
TABU! T 
 
 Technic*! uid Tnde Coeff lcl«Tita, Cftllfomla-Arliona Econodiy, 19^^ 
 
 
 
 
 e 1 
 
 4 i 
 
 
 
 
 C ll 
 
 
 
 
 
 C o 
 
 
 
 
 
 
 fl 9 
 
 
 5 16 
 
 
 s u 
 
 
 P 12 
 
 
 S 13 
 
 5 11. 
 
 
 S 1? 
 
 
 S ifc 
 
 e IT 
 
 
 c la 
 
 C l9 
 
 
 
 
 
 
 Poultry 
 
 
 
 
 
 
 
 
 
 
 Ftult 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Hlec. 
 
 
 
 
 Fab. 
 
 
 
 
 
 
 (eat 
 
 and 
 
 
 dairy 
 
 
 
 
 
 
 
 
 and 
 
 
 
 
 
 
 
 
 alll 
 
 
 
 
 
 
 agrl. 
 
 
 and Petro- 
 
 ■etals ft 
 
 Air- 
 
 
 
 Sector title 
 
 
 
 
 
 
 
 
 
 
 
 vag- 
 
 
 
 
 
 
 
 
 
 
 
 
 prod. freeKtng 
 
 
 
 
 
 
 
 ci»rt 
 
 
 C 1 
 
 14aat anlwli tod products 
 
 -0 
 
 000900 
 
 -0.000000 
 
 -0 
 
 OOOOOO 
 
 
 oooooo 
 
 -0 
 
 000900 
 
 
 OOOQOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 990000 
 
 -0 
 
 900099 
 
 -0 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 0 
 
 367516 
 
 -0 
 
 OOODOO -0 
 
 OOOODO 
 
 -D 
 
 OOOOOO 
 
 -0 
 
 000099 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0. OOOODO 
 
 
 c z 
 
 poultry and aflc> 
 
 -0 
 
 000900 
 
 0. 177)92 
 
 -0 
 
 OOOOOO 
 
 •0 
 
 000009 
 
 -0 
 
 oooooo 
 
 -9 
 
 oooooo 
 
 -0 
 
 090000 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -9 
 
 OOOOOO 
 
 0 
 
 951086 
 
 
 0000*1 0 
 
 ouooo* 
 
 0 
 
 001*09 
 
 
 OOOOOO -0 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 -0. OOOODO 
 
 
 C 3 
 
 ran iMUy product! 
 
 -0 
 
 OODOOO 
 
 -0.009000 
 
 0 
 
 026192 
 
 -0 
 
 oooooo 
 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 
 000009 
 
 -0 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 
 990000 
 
 0 
 
 *156»7 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO -0 
 
 OOODOO 
 
 -0 
 
 oooooo 
 
 -O.OOOOOD 
 
 C 3 
 
 a k 
 
 Food ud fead gralu 
 
 0 
 
 Divroo 
 
 O.OBIUI 
 
 0 
 
 0*7297 
 
 0 
 
 027950 
 
 
 oooooo 
 
 
 oooooo 
 
 
 oooooo 
 
 
 oooooo 
 
 -0 
 
 OOOOOD 
 
 0 
 
 001 199 
 
 
 19919ft 
 
 
 OOOOOO 
 
 -0 
 
 OOOOOO -0 
 
 oooooo 
 
 0 
 
 002657 
 
 -0 
 
 OOOOOO -0 
 
 OOODOO 
 
 -0 
 
 OOODOO 
 
 -O.ODOOOO 
 
 C U 
 
 C 5 
 
 Cotton 
 
 -0 
 
 000000 
 
 -0.000009 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 0 
 
 002125 
 
 -0 
 
 oooooo 
 
 -0 
 
 090009 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -9 
 
 009000 
 
 -9 
 
 900009 
 
 
 009000 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOODOD -0 
 
 OOOOOD 
 
 
 oooooo 
 
 •0.000000 
 
 C 5 
 
 C 6 
 
 
 -0 
 
 000000 
 
 •0.000009 
 
 -0 
 
 OOOOOO 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 0 
 
 003253 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 000090 
 
 -0 
 
 OODOOO 
 
 -0 
 
 990000 
 
 -0 
 
 OOOOOO 0 
 
 10577* 
 
 
 DDOOOO 
 
 -0 
 
 OOOOOO -0 
 
 000099 
 
 -0 
 
 oooooo 
 
 -0.000000 
 
 C 6 
 
 C T 
 
 rnilt (acludlnc cltn*) t outs 
 
 -0 
 
 000000 
 
 -0.000009 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 0 
 
 165128 
 
 0 
 
 02*7*2 
 
 0 
 
 0UO125 -0 
 
 000009 
 
 -0 
 
 
 -O.OOOOOD 
 
 C T 
 
 C 8 
 
 
 -0 
 
 000000 
 
 -0.000000 
 
 -0 
 
 009000 
 
 -0 
 
 000090 
 
 •9 
 
 000900 
 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 000009 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 0 
 
 D09621 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -O.OOOOOD 
 
 : 8 
 
 C 9 
 
 
 0 
 
 I07J98 
 
 -0.000009 
 
 0 
 
 236222 
 
 -0 
 
 900009 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 090000 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 0 
 
 017262 
 
 9 
 
 01 1*99 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO -0 
 
 oooooo 
 
 •0 
 
 OOODOO 
 
 
 OOOOOO -0 
 
 000009 
 
 -0 
 
 
 -0. OOOODO 
 
 
 C 10 
 
 Hl«oell«Bewi» agriculture 
 
 0 
 
 004Z02 
 
 -0. 000009 
 
 0 
 
 007156 
 
 
 0*2179 
 
 
 125BI8 
 
 
 057065 
 
 0 
 
 02SB19 
 
 0 
 
 92**80 
 
 0 
 
 9)9798 
 
 0 
 
 0371 7* 
 
 -0 
 
 000900 
 
 0 
 
 9009*1 
 
 -0 
 
 oooooo 0 
 
 01*975 
 
 0 
 
 025808 
 
 0 
 
 007621 -0 
 
 OOOOOO 
 
 -0 
 
 OODOOO 
 
 -0. OOOOOO 
 
 
 c u 
 
 Grain alll products 
 
 3 
 
 07*619 
 
 0.2703;* 
 
 
 0820*5 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 •0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 0 
 
 001122 
 
 9 
 
 010909 
 
 -0 
 
 OOOODO 
 
 9 
 
 000396 0 
 
 00)B62 
 
 0 
 
 03252* 
 
 
 001600 -0 
 
 OOOODO 
 
 -9 
 
 OOOODO 
 
 •0. OOOODO 
 
 C 11 
 
 C 12 
 
 Meat and pail try proceaalne 
 
 -0 
 
 000900 
 
 •9.000000 
 
 -0 
 
 009000 
 
 -0 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOD 
 
 -0 
 
 009000 
 
 0 
 
 001 781 
 
 0 
 
 0 3 7571 
 
 -0 
 
 OOOOOO 0 
 
 096*2) 
 
 0 
 
 009*5? 
 
 0 
 
 9021)8 -D 
 
 OOOODO 
 
 -0 
 
 OOOODO 
 
 -0.000000 
 
 C 12 
 
 C L3 
 
 Dairy product* 
 
 -0 
 
 009000 
 
 -0.000000 
 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 0 
 
 00)263 
 
 0 
 
 002625 
 
 0 
 
 98911* 0 
 
 006121 
 
 0 
 
 00*258 
 
 0 
 
 000687 -0 
 
 OOODOO 
 
 -0 
 
 OOOODO 
 
 -0.000000 
 
 c 13 
 
 C lU 
 
 Caonlsx, praaenrlag. freeilng 
 
 -0 
 
 oooooo 
 
 -0.000000 
 
 
 OOOOOO 
 
 -0 
 
 000090 
 
 -0 
 
 000900 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 000009 
 
 -0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 -0 
 
 900000 
 
 -0 
 
 OOOOOO 0 
 
 015651 
 
 0 
 
 0036*1 
 
 0 
 
 000159 -0 
 
 OOODOO 
 
 
 OOOOOO 
 
 -0.000000 
 
 C lU 
 
 15 
 
 HlacaUanacrui agrl. procBidoe 
 
 -0 
 
 000000 
 
 -0. oooooo 
 
 
 OOOOOO 
 
 -0 
 
 000090 
 
 •0 
 
 900990 
 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 0 
 
 052212 
 
 -0 
 
 OOOOOO 
 
 
 0b>*03 0 
 
 0*6216 
 
 0 
 
 07100* 
 
 0 
 
 02B056 0 
 
 0002 75 
 
 9 
 
 000008 
 
 -0. OODOOO 
 
 C 15 
 
 
 ClMMlcalt am fertllliar* 
 
 0 
 
 001 lOJ 
 
 0. 001021 
 
 0 
 
 000819 
 
 0 
 
 0*2857 
 
 0 
 
 02***8 
 
 
 037S55 
 
 0 
 
 05631 1 
 
 0 
 
 011861 
 
 
 02291 1 
 
 0 
 
 0I166B 
 
 0 
 
 02*675 
 
 0 
 
 002679 
 
 0 
 
 01968? 0 
 
 915686 
 
 0 
 
 91BD29 
 
 0 
 
 19BB77 0 
 
 019621 
 
 0 
 
 0078*9 
 
 0.001*19 
 
 C 16 
 
 c IT 
 
 Petrol •«» 
 
 0 
 
 OOOBOl 
 
 0.00'*0J 
 
 
 00019'J 
 
 0 
 
 0458*5 
 
 0 
 
 011)97 
 
 0 
 
 019*00 
 
 0 
 
 0)1518 
 
 0 
 
 015*51 
 
 0 
 
 02*19* 
 
 0 
 
 0095 B2 
 
 0 
 
 002)73 
 
 0 
 
 9019b* 
 
 0 
 
 00*8Tft 0 
 
 0D5619 
 
 -0 
 
 OODOOO 
 
 -0 
 
 OOOOOO 0 
 
 »5)50l 
 
 0 
 
 00)*01 
 
 0.001 158 
 
 C 17 
 
 C 1'3 
 
 Fibrin atad netali and ucnlner; 
 
 0 
 
 OIZ)«} 
 
 O.OL)I*1 
 
 0 
 
 010*75 
 
 
 
 0 
 
 01671 ) 
 
 
 0)0*57 
 
 
 0*62*0 
 
 0 
 
 021806 
 
 0 
 
 0*5*62 
 
 0 
 
 016^70 
 
 0 
 
 00 786* 
 
 0 
 
 09*859 
 
 0 
 
 906016 g 
 
 1051 77 
 
 0 
 
 018195 
 
 
 0182*5 0 
 
 01812* 
 
 
 166*61 
 
 0.0529*0 
 
 r; 18 
 
 C 19 
 
 AlrcraTt and parts 
 
 -0 
 
 000900 
 
 -9.000000 
 
 -0 
 
 oooooo 
 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 •9 
 
 900900 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 900900 
 
 -Q 
 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 
 0000*7 -0 
 
 OOOODO 
 
 9 
 
 00»B90 
 
 0.2016*1 
 
 c 19 
 
 c » 
 
 prlaary BCtali 
 
 0 
 
 ooooso 
 
 0.00007? 
 
 0 
 
 909051 
 
 0 
 
 0009*5 
 
 0 
 
 000027 
 
 0 
 
 00095B 
 
 0 
 
 000079 
 
 0 
 
 000025 
 
 0 
 
 0090** 
 
 
 000026 
 
 -0 
 
 OOOOOD 
 
 
 900019 
 
 0 
 
 000021 0 
 
 90095 3 
 
 0 
 
 000590 
 
 9 
 
 007111 0 
 
 000299 
 
 0 
 
 106280 
 
 0.022116 
 
 c 20 
 
 C Zl 
 
 tmier aanurBcturlag 
 
 
 OOJDla 
 
 9.005705 
 
 
 O02B97 
 
 0 
 
 006965 
 
 0 
 
 0010*9 
 
 0 
 
 022870 
 
 0 
 
 027865 
 
 0 
 
 017170 
 
 0 
 
 001829 
 
 9 
 
 005968 
 
 0 
 
 03*561 
 
 0 
 
 001669 
 
 0 
 
 011*2* 0 
 
 050285 
 
 0 
 
 016895 
 
 9 
 
 92B1*2 9 
 
 00*81) 
 
 0 
 
 91000* 
 
 0.0t)))7 
 
 C 21 
 
 C 22 
 
 
 -0 
 
 oooooo 
 
 -9.000009 
 
 
 099000 
 
 0 
 
 000085 
 
 0 
 
 000927 
 
 0 
 
 000106 
 
 
 0D006* 
 
 0 
 
 0000** 
 
 
 0000*8 
 
 0 
 
 00005b 
 
 
 002269 
 
 
 000*58 
 
 9 
 
 009906 0 
 
 000895 
 
 
 000709 
 
 0 
 
 008115 9 
 
 012506 
 
 0 
 
 000656 
 
 0.000115 
 
 C 22 
 
 ?g 
 
 Utilltjoa 
 
 0 
 
 005»94 
 
 9.00671 7 
 
 0 
 
 006153 
 
 0 
 
 005361 
 
 0 
 
 005*79 
 
 9 
 
 006699 
 
 0 
 
 01006* 
 
 9 
 
 006007 
 
 0 
 
 001519 
 
 0 
 
 00871B 
 
 9 
 
 00)6)1 
 
 0 
 
 00*790 
 
 0 
 
 006170 0 
 
 006353 
 
 0 
 
 005179 
 
 
 012)21 0 
 
 011201 
 
 D 
 
 90711? 
 
 0.00*561 
 
 C 23 
 
 Selectad eervicea 
 
 0 
 
 OOSZOJ 
 
 0.00517* 
 
 
 0029*8 
 
 
 013687 
 
 
 00**62 
 
 0 
 
 008390 
 
 0 
 
 012226 
 
 0 
 
 00655* 
 
 0 
 
 00795* 
 
 0 
 
 005025 
 
 
 002995 
 
 0 
 
 9305*2 
 
 0 
 
 009011 0 
 
 D0508 7 
 
 0 
 
 00*595 
 
 0 
 
 09B162 0 
 
 002898 
 
 0 
 
 002727 
 
 0.001089 
 
 c at 
 
 C 25 
 
 Trade and tranaportatlor 
 
 0 
 
 040611 
 
 9.061820 
 
 
 0615*1 
 
 0 
 
 0*0688 
 
 0 
 
 0181*2 
 
 9 
 
 021166 
 
 0 
 
 02*628 
 
 0 
 
 01*199 
 
 0 
 
 021697 
 
 0 
 
 018168 
 
 
 0*7186 
 
 0 
 
 051779 
 
 
 085190 0 
 
 08*100 
 
 0 
 
 20*67) 
 
 0 
 
 097500 0 
 
 9*68 TS 
 
 0 
 
 9*971* 
 
 0.015679 
 
 C 25 
 
 C 26 
 
 Unallocated 
 
 0 
 
 
 9.017667 
 
 0 
 
 022953 
 
 0 
 
 091928 
 
 0 
 
 06*992 
 
 0 
 
 01862* 
 
 0 
 
 029263 
 
 
 016591 
 
 0 
 
 0*5*23 
 
 0 
 
 028129 
 
 0 
 
 02*373 
 
 0 
 
 952T92 
 
 9 
 
 0*1392 0 
 
 0*2591 
 
 0 
 
 057520 
 
 0 
 
 0699 B9 9 
 
 09117* 
 
 0 
 
 9*2310 
 
 0.01078? 
 
 C 26 
 
 A 1 
 
 Heat aolaala aod producta 
 
 -0 
 
 oooooo 
 
 -0.090000 
 
 -0 
 
 OOOOOO 
 
 •0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 
 OODOOO 
 
 -0 
 
 099000 
 
 -0 
 
 OOODOO 
 
 -0 
 
 oooooo 
 
 ■0 
 
 000090 
 
 -0 
 
 000900 
 
 0 
 
 00910* 
 
 
 OOOOOO -0 
 
 OOOODO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO -9 
 
 OOOOOO 
 
 -0 
 
 OOODOO 
 
 -0.000000 
 
 
 A e 
 
 Poultiy and a^a 
 
 -0 
 
 oooooo 
 
 0.0000*9 
 
 -0 
 
 OOOOOO 
 
 
 000900 
 
 -0 
 
 OOOOOO 
 
 •0 
 
 OOOOOO 
 
 •0 
 
 OOOOOO 
 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 
 OOOOOO 
 
 
 000900 
 
 9 
 
 000012 
 
 -0 
 
 OOOOOD -0 
 
 000900 
 
 0 
 
 000001 
 
 -0 
 
 OOOOOO -0 
 
 OOODOO 
 
 -0 
 
 OOOOOO 
 
 -0.000000 
 
 
 A 3 
 
 Pars dairy products 
 
 -0 
 
 oooooo 
 
 -0.000000 
 
 0 
 
 000018 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 009000 
 
 -0 
 
 090009 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 •c 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 0 
 
 000602 -3 
 
 OOOOOO 
 
 -0 
 
 DDOOOO 
 
 -0 
 
 000999 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0.000000 
 
 A 3 
 
 A <t 
 
 Pbod md fcod gralni 
 
 0 
 
 000752 
 
 0.99192k 
 
 0 
 
 000597 
 
 0 
 
 000150 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 •0 
 
 000009 
 
 ■0 
 
 oooooo 
 
 -0 
 
 OOODOO 
 
 0 
 
 000018 
 
 0 
 
 002512 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO -0 
 
 oooooo 
 
 0 
 
 00001* 
 
 -0 
 
 OOOOOD -0 
 
 OOOOOO 
 
 -D 
 
 OOOODO 
 
 -0.000000 
 
 
 A 5 
 
 
 -0 
 
 oooooo 
 
 -0.900000 
 
 -0 
 
 OOOOOO 
 
 -9 
 
 OOOOOO 
 
 0 
 
 0001*0 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -9 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO -0 
 
 OOOOOD 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOD -0 
 
 OOOODO 
 
 -0 
 
 oooooo 
 
 -0. OODOOO 
 
 A 5 
 
 A 6 
 
 VesettAles 
 
 -0 
 
 oooooo 
 
 -0.000009 
 
 -0 
 
 900000 
 
 -0 
 
 009000 
 
 -0 
 
 oooooo 
 
 
 000013 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 
 000900 
 
 -0 
 
 OOOOOO 
 
 
 OOOODO 0 
 
 00D*2B 
 
 
 oooooo 
 
 -0 
 
 OOODOO -0 
 
 DDOOOO 
 
 -0 
 
 OOOOOO 
 
 -0. OODOOO 
 
 A 6 
 
 A T 
 
 Fruit (exclullnB citrus] i miti 
 
 -0 
 
 900009 
 
 -0.000900 
 
 -0 
 
 000009 
 
 -0 
 
 009000 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 
 OOODOO 
 
 -0 
 
 
 -0 
 
 OOODOO 
 
 
 009000 
 
 -0 
 
 OODOOO 
 
 -0 
 
 
 -0 
 
 OOOOOO -0 
 
 000099 
 
 -0 
 
 009990 
 
 -0 
 
 OOODOO -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0.000000 
 
 A 7 
 
 A S 
 
 Citrus 
 
 -0 
 
 oooooo 
 
 -0.000900 
 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -D 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 009090 
 
 •0 
 
 oooooo 
 
 -0 
 
 009090 
 
 -0 
 
 OOOOOO 0 
 
 OOOl** 
 
 -9 
 
 OOOD90 
 
 -0 
 
 OOOOOO -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0. OODOOO 
 
 * 3 
 
 A 9 
 
 
 0 
 
 OOJBT* 
 
 •0.000000 
 
 0 
 
 00127* 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 0 
 
 0902*0 
 
 0 
 
 000159 
 
 -0 
 
 OODOOO 
 
 -0 
 
 OOOOOO -0 
 
 OOOOOD 
 
 -0 
 
 OOODOO 
 
 -0 
 
 900000 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 •O.ODDODO 
 
 A 9 
 
 A 10 
 
 Miscellaneous agriculture 
 
 9 
 
 090096 
 
 -0.000900 
 
 0 
 
 990010 
 
 0 
 
 090062 
 
 0 
 
 D0D181 
 
 0 
 
 00008* 
 
 
 C000*2 
 
 
 0000)8 
 
 0 
 
 000958 
 
 0 
 
 000056 
 
 -0 
 
 oooooo 
 
 -0 
 
 909O9O 
 
 -0 
 
 OOOOOO 0 
 
 000951 
 
 
 000017 
 
 0 
 
 oooon -0 
 
 OOOODO 
 
 -0 
 
 oooooo 
 
 -0.000000 
 
 
 A U 
 
 Grain alll products 
 
 -0 
 
 OOOOOO 
 
 -0.900000 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 •0 
 
 OOOOOO 
 
 -9 
 
 000900 
 
 
 OOOOOO 
 
 
 OOOOOO 
 
 -0 
 
 ODCiOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OODOOO -0 
 
 OOOOOO 
 
 -0 
 
 000090 
 
 -0 
 
 OOD009 -0 
 
 OOOOOD 
 
 -0 
 
 oooooo 
 
 -0.000000 
 
 A 11 
 
 A 12 
 
 Meat and poiatr; procasslng 
 
 -0 
 
 009000 
 
 -0. OOOOOO 
 
 -a 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 000090 
 
 -0 
 
 000990 
 
 -0 
 
 000009 
 
 -0 
 
 oooooo 
 
 
 OOOOOO 
 
 -0 
 
 oooooo -0 
 
 oooooo 
 
 
 OOOOOO 
 
 
 oooooo -0 
 
 OOODOO 
 
 -0 
 
 oooooo 
 
 •0.000000 
 
 A 12 
 
 A 13 
 
 Dairy products 
 
 -a 
 
 OOOOOO 
 
 -0.000000 
 
 -0 
 
 900000 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 000090 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 999000 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OODOOO 
 
 
 
 OOOOOO 
 
 -0 
 
 
 -0 
 
 oooooo -0 
 
 OOODOO 
 
 -0 
 
 000009 
 
 -O.ODOOOO 
 
 » 13 
 
 A l>t 
 
 A Ih 
 
 Cansloe, preaerrltij;, freezing 
 
 -0 
 
 oooooo 
 
 -0.900000 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 000009 
 
 •0 
 
 090009 
 
 -D 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 -0 
 
 oooooo 
 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 •0 
 
 OOOOOO 
 
 -0 
 
 oooooo -0 
 
 000999 
 
 •0 
 
 000090 
 
 -0 
 
 000090 -0 
 
 OOOOOO 
 
 -0 
 
 OOODOO 
 
 -0.009000 
 
 A 15 
 
 Mlwellaoeous agrl, processlos 
 
 
 OOODOO 
 
 -9.000009 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 000999 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 
 oooooo 
 
 -0 
 
 000009 
 
 -0 
 
 OOOOOO 
 
 
 oooooo 
 
 -0 
 
 oooooo -0 
 
 OOODOO 
 
 -0 
 
 OOOODO 
 
 -0 
 
 000099 -D 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -O.ODOOOO 
 
 A 15 
 
 A 16 
 
 Cbadcala and rartlllEerB 
 
 -0 
 
 oooooo 
 
 -9.000000 
 
 
 OOOOOO 
 
 
 
 -0 
 
 oooooo 
 
 -0 
 
 090000 
 
 •9 
 
 900990 
 
 -0 
 
 009000 
 
 -0 
 
 009990 
 
 
 
 -0 
 
 009990 
 
 -9 
 
 OOOOOO 
 
 -0 
 
 oooooo -0 
 
 
 -0 
 
 OOODOO 
 
 -0 
 
 OOODOD -0 
 
 OOODOO 
 
 -9 
 
 OODOOO 
 
 -O.ODOOOO 
 
 A 16 
 
 A 17 
 
 Petrolsum 
 
 -0 
 
 oooooo 
 
 -O.OOOOOD 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 000090 
 
 -9 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 000090 
 
 •0 
 
 000090 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOODOO 
 
 -0 
 
 000990 -0 
 
 OOOOOO 
 
 -0 
 
 OODOOO 
 
 
 oooooo -0 
 
 OOOOOD 
 
 
 000009 
 
 -0.000000 
 
 A IT 
 
 A la 
 
 Fabricated aetals nd aachlnery 
 
 0 
 
 009D*e 
 
 O.OOOOS! 
 
 0 
 
 9000*3 
 
 0 
 
 000311 
 
 9 
 
 000087 
 
 
 000120 
 
 
 000182 
 
 0 
 
 oooov* 
 
 
 000179 
 
 0 
 
 00906* 
 
 0 
 
 009012 
 
 
 00D019 
 
 0 
 
 O0DD21 0 
 
 000*1) 
 
 0 
 
 00DD72 
 
 0 
 
 0000 72 0 
 
 000O7I 
 
 D 
 
 009653 
 
 9.00020B 
 
 A IB 
 
 A 19 
 
 
 -D 
 
 oooooo 
 
 -9.000009 
 
 -0 
 
 OOOOOO 
 
 
 oooooo 
 
 -0 
 
 000900 
 
 -0 
 
 099099 
 
 -9 
 
 900000 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 •0 
 
 OOUOOO 
 
 -9 
 
 OOODOO 
 
 
 oooooo -0 
 
 oooooo 
 
 -0 
 
 OOOODO 
 
 -0 
 
 oooooo -0 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -O.OOOOOD 
 
 * 19 
 
 A 20 
 
 Prlury netala 
 
 -0 
 
 900090 
 
 -0.000000 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -D 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 •0 
 
 000090 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 009909 
 
 
 oooooo -0 
 
 OOOODO 
 
 -0 
 
 OOODOO 
 
 
 oooooo -0 
 
 oooooo 
 
 -9 
 
 oooooo 
 
 -O.ODDODO 
 
 A 20 
 
 A 21 
 
 Cthar BBouf aeturlne 
 
 
 oooooo 
 
 -0.000009 
 
 -9 
 
 009000 
 
 -0 
 
 oooooo 
 
 -0 
 
 000090 
 
 
 OOOOOO 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OODOOO 
 
 
 OOOOOO 
 
 
 009000 -0 
 
 000909 
 
 -0 
 
 000099 
 
 -D 
 
 OOOOOD -0 
 
 OOODOO 
 
 
 OOODOO 
 
 -9.99D0DD 
 
 A 21 
 
 A 22 
 
 tuning 
 
 -0 
 
 oooooo 
 
 -9.000009 
 
 •0 
 
 oooooo 
 
 -0 
 
 000009 
 
 •0 
 
 oooooo 
 
 -0 
 
 900000 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -9 
 
 oooooo 
 
 -0 
 
 000090 
 
 0 
 
 000007 
 
 3 
 
 000092 
 
 0 
 
 000003 0 
 
 000002 
 
 9 
 
 000002 
 
 D 
 
 009026 0 
 
 0000)8 
 
 0 
 
 D0DDD2 
 
 0.000000 
 
 A 2? 
 
 A S3 
 
 Utllltle* 
 
 -0 
 
 oooooo 
 
 -9.000000 
 
 -0 
 
 oooooo 
 
 -0 
 
 000009 
 
 -9 
 
 oooooo 
 
 -0 
 
 090000 
 
 
 oooooo 
 
 •0 
 
 OODOOO 
 
 •0 
 
 OOOOOO 
 
 -0 
 
 009099 
 
 -0 
 
 009000 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 oooooo -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO -0 
 
 OOOOOO 
 
 -D 
 
 ODOOOC 
 
 -O.OOOOOD 
 
 A 23 
 
 A 24 
 
 Salacted services 
 
 -0 
 
 oooooo 
 
 -0.000009 
 
 -0 
 
 oooooo 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 •0 
 
 090009 
 
 -9 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 •0 
 
 OODOOO 
 
 -0 
 
 000090 
 
 -0 
 
 oooooo -0 
 
 oooooo 
 
 -D 
 
 000990 
 
 -0 
 
 oooooo -0 
 
 oooooo 
 
 -0 
 
 OODOOO 
 
 -0.000000 
 
 A 2k 
 
 A 25 
 
 Trade and transportation 
 
 0 
 
 0000 >8 
 
 0.000061 
 
 
 000061 
 
 
 0000*0 
 
 0 
 
 000017 
 
 0 
 
 000020 
 
 9 
 
 900022 
 
 0 
 
 00001) 
 
 0 
 
 000019 
 
 0 
 
 000018 
 
 0 
 
 0000*5 
 
 0 
 
 0099*9 
 
 9 
 
 000981 0 
 
 000079 
 
 0 
 
 00019* 
 
 9 
 
 00009 2 9 
 
 
 0 
 
 0000*7 
 
 0.D0D015 
 
 A 25 
 
 A 26 
 
 
 -0 
 
 oooooo 
 
 -0.900000 
 
 -0 
 
 oooooo 
 
 
 oooooo 
 
 •0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 oooooo 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OOOOOO 
 
 -0 
 
 OODOOO 
 
 -0 
 
 oooooo -0 
 
 OOODOD 
 
 
 000009 
 
 -9 
 
 090000 -0 
 
 OODOOO 
 
 -0 
 
 OOOOOO 
 
 -0.000009 
 
 A 26 
 
 (Continued on neit page.] 
 
tULE 7 ccBtlDued. 
 
 3«ctor tltlf 
 
 dairy 
 
 0 7 
 
 C 8 
 
 C 9 
 
 C 10 
 
 0 11 
 
 C 12 
 
 c 13 
 
 C ill 
 
 C 15 
 
 C 22 
 C 23 
 C 2* 
 C 25 
 
 ; uiImIb aod produc 
 Poultry and ««■ 
 Pirn dairy productg 
 Tooi ud faad iralna 
 
 HlseallUMOUi asrlculturc 
 Oraln all! product* 
 H«t and poultry proceaslog 
 Dairy product* 
 
 ling, proierving, freojlug 
 Hlscallaoaoua agri. proceailng 
 CbMieal* md fartllliari 
 
 Fatirtcatad aatali and ■achlnary 
 
 AlroraTt ml parts 
 
 prlBary aatali 
 
 (Ktwr ■BBifacturlus 
 
 Kliilna 
 
 Utllltla* 
 
 Salactad ■•rrtea* 
 
 Trad* and traoaportatlon 
 
 UBallocatad 
 
 1.000000 
 ).0O0OOO 
 1.000000 
 
 l.OOODOO 
 1.000000 
 3.000000 
 
 1. 0060^1 
 ].0)S6«f 
 l.OOOObf 
 
 ).0003T) 
 I.OOOOZS 
 ).00002B 
 1.000322 
 0J2*0J 
 
 .00'>aa* 
 
 02!JiO 
 I.00l9bl 
 011832 
 . I9«r96 
 
 I.OllSll 
 I.00S2*} 
 I.0b9011 
 031910 
 
 1.000000 
 l.OOOOOO 
 l.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000005 
 Otll 
 01T6JT 
 018J57 
 1.000000 
 
 1.000000 
 l.OOOOOO 
 1.000000 
 1.000000 
 l.OOOOOO 
 l.OOOOOO 
 1.000000 
 
 lOOOOO 
 -O.OOOOOO 
 
 -o.oooooo 
 
 l.OOOOOO 
 000000 
 1.0000*1 
 
 i.ogoa;a 
 
 I. 00002 0 
 
 OiSObk 
 1.000205 
 
 010S52 
 1.069001 
 
 03»08 
 
 l.OOOOOO 
 1.000000 
 1.000000 
 
 OOOIOB 
 D0050* 
 016509 
 1.005*75 
 1.001992 
 ). 000403 
 1. 009838 
 1. 0002^0 
 02UO* 
 01851« 
 
 lOOOOO 
 l.OOOOOO 
 1.000000 
 1.000000 
 l.OOOOOO 
 1.000000 
 l.OOOOOO 
 
 102619 
 lOOOOO 
 l.OOOOOO 
 
 ooouoo 
 
 1.000000 
 1.000105 
 
 i.oooa<>2 
 
 I.0OO392 
 1.000000 
 000000 
 0O0O«9 
 1.000000 
 1.000091 
 l.OOOOOO 
 101225 
 l.OOOOOO 
 
 .000000 
 000000 
 l.OOOOOO 
 l.OOOOOO 
 1.000)70 
 l.0OO«93 
 000)70 
 .000000 
 
 1.000039 
 Ilb9«2 
 l.OOOOOO 
 1.000000 
 1.000000 
 l.OOOOOO 
 I. 000194 
 1.000000 
 1.00058) 
 l.OOOOOO 
 l.OOOOOO 
 1.0000)9 
 1.000000 
 1.000155 
 l.OOOOOO 
 1.005285 
 1.000000 
 
 1.000000 
 100000 
 lOOOOO 
 ,00202* 
 
 1.000000 
 l.OOOOOO 
 1.000000 
 
 l.OOOOOO 
 l.OOOOOO 
 1.000000 
 
 1.000000 
 1.000000 
 1.000756 
 l.OOOOOO 
 
 000000 
 1.000000 
 l.OODDBO 
 l.OOOOOO 
 l.OOOlbb 
 l.OOOOOO 
 1. 000126 
 1.000000 
 
 1.000406 
 l.DDll r8 
 000000 
 1.000000 
 1.001517 
 1.000000 
 1. 000095 
 1.000000 
 1.000068 
 l.OOOOOO 
 
 i.oauooQ 
 
 l.OOOOOO 
 l.OOOOOO 
 1.000000 
 
 l.OOOOOO 
 1.000000 
 lOOOOD 
 
 1.000000 
 1.000000 
 lOOOOO 
 
 l.OOOOOO 
 l.OOOOOO 
 1.000000 
 1.000000 
 l.OOOOOO 
 1.000505 
 1.000000 
 
 l.OOOOOO 
 1.000000 
 1.006162 
 
 3.000000 
 3.000000 
 D.OOOODO 
 1.000000 
 l.OOOOOO 
 1.000000 
 J. 000000 
 l.OOOOOO 
 1.000000 
 
 1.0001 1 r 
 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 l.OOOOOO 
 I. 001765 
 1.000788 
 1.00 3006 
 1.000000 
 l.OOOOOO 
 1.00005S 
 1.000000 
 1.00005B 
 1.000000 
 I.D0005B 
 1. 000000 
 
 OOODOO 
 
 oooeiB 
 
 1.000000 
 l.OOOOOO 
 l.OOOOOO 
 l.OOOOOO 
 
 1.000112 
 l.OOOOOO 
 l.OOOOOO 
 
 1,001979 
 1.000000 
 l.OOOOOO 
 I.O001B6 
 1.000000 
 I. 000112 
 l.OOOOOO 
 
 -0.000000 
 -0.000000 
 -0.000000 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 0.007519 
 -0.000000 
 -0.000000 
 -D.OOOOOO 
 0.00872) 
 0.009195 
 D.OOOOBb 
 0.000 3*4 
 
 -o.oooooo 
 -o.oooooo 
 
 0.001590 
 -O.DOOQDO 
 0.000086 
 
 -o.oooooo 
 
 O.O0*)*0 
 -0.000000 
 
 I.OOOO0( 
 .OOOOOQI I 
 .000000 
 
 1.000000 
 ,000000 
 .000000 
 
 116 
 
 lOOO 
 1.000000 
 1.00021 ) 
 1.000000 
 I.OOOll 
 ,000000 
 
 C 12 
 
 C 13 
 
 C lit 
 
 C lb 
 C 16 
 
 C 19 
 C 21 
 C 23 
 
 1952 
 )"OO00 
 
 I 
 I 
 
 A 6 
 
 A T 
 
 A a 
 
 A 9 
 
 1 uilaalB and products 
 Poultry and aui 
 Far* dairy product! 
 Pood and fs^ grains 
 
 Tagatible* 
 
 rmlt (aaeluLl^ ettmi) L outa 
 CltruB 
 
 lellaBaoua asrleultum 
 QralD alU producta 
 
 : and poultry procasslag 
 Dairy pnidiKt* 
 
 Canning, praaarrlog, freatlag 
 HlMallaiMaua agrl. proceiitog 
 
 ileala ai^ rartilUari 
 patrol SUB 
 
 Pabrlcatad Batala and aacblnery 
 
 AlreraTt aad part* 
 
 Prlwry potala 
 
 Ottaw aaaufaiBturlnt 
 
 mnlng 
 
 inmtlai 
 
 Salactad aarrlcaa 
 
 Trade aad tranaportatloa 
 
 Vnallacatad 
 
 1.000000 
 1.000000 
 l.OOOOOO 
 1.000000 
 1.000000 
 l.OOODOO 
 1.000000 
 1.000000 
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 0 
 
 000007 
 
 
 000004 
 
 
 C 6 
 
 
 3 
 
 ocooo« 
 
 
 OOOOtl 
 
 0 
 
 000004 
 
 0 
 
 000005 
 
 0 
 
 OOOOOl 
 
 
 001267 
 
 0 
 
 000005 
 
 0 
 
 OOOOOl 
 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 000027 
 
 
 000004 
 
 
 OOC0)5 
 
 0. 1078)2 
 
 0 
 
 000429 
 
 0 
 
 000066 
 
 0 
 
 000005 
 
 0 
 
 00000 3 
 
 
 OOOOOl 
 
 C 6 
 
 C T 
 
 nilit (exdudlAA citnift) A nutu 
 
 0 
 
 000l2fl 
 
 0 
 
 000510 
 
 
 000141 
 
 0 
 
 000065 
 
 0 
 
 ooooir 
 
 0 
 
 00005) 
 
 
 000076 
 
 0 
 
 0000*6 
 
 0 
 
 0000)4 
 
 0 
 
 000021 
 
 0 
 
 001501 
 
 0 
 
 000090 
 
 0 
 
 3019BB 
 
 0. 16911 1 
 
 0 
 
 027)97 
 
 0 
 
 001208 
 
 0 
 
 000069 
 
 0 
 
 000012 
 
 
 OOOOOT 
 
 
 c e 
 
 
 ODOOOO 
 
 0 
 
 000001 
 
 0 
 
 000000 
 
 
 000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 ocoooo 
 
 0 
 
 OOOOOO 
 
 0 
 
 flODOOO 
 
 0 
 
 000002 
 
 0 
 
 OOOOOO 
 
 0 
 
 00000) 
 
 C. 009776 
 
 0 
 
 0000)9 
 
 0 
 
 000006 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 c 8 
 
 
 
 0 
 
 2DB620 
 
 
 00« 197 
 
 0 
 
 244022 
 
 0 
 
 00084) 
 
 0 
 
 002)0) 
 
 0 
 
 001070 
 
 0 
 
 000571 
 
 0 
 
 000471 
 
 
 DO0T4T 
 
 
 017977 
 
 0 
 
 012*6 7 
 
 0 
 
 080212 
 
 0 
 
 110491 
 
 0.002261 
 
 0 
 
 00I))9 
 
 0 
 
 000625 
 
 0 
 
 0000T7 
 
 0 
 
 000012 
 
 0 
 
 oooou 
 
 
 C 10 
 
 MlaccUanroua apiculture 
 
 0 
 
 Clbb*6 
 
 
 O0B424 
 
 0 
 
 021194 
 
 0 
 
 045672 
 
 0 
 
 1)1404 
 
 0 
 
 060000 
 
 0 
 
 0)0682 
 
 0 
 
 025869 
 
 0 
 
 041666 
 
 
 019596 
 
 0 
 
 011715 
 
 0 
 
 0069)7 
 
 0 
 
 012024 
 
 0.050698 
 
 0 
 
 0)0849 
 
 0 
 
 0111)6 
 
 0 
 
 000*76 
 
 0 
 
 000201 
 
 0 
 
 00006* 
 
 
 c n 
 
 Gnln Mill proAicta 
 
 0 
 
 
 0 
 
 ) 1)0 70 
 
 
 0B5459 
 
 0 
 
 000249 
 
 0 
 
 000262 
 
 
 000226 
 
 0 
 
 000258 
 
 0 
 
 00016) 
 
 0 
 
 000150 
 
 0 
 
 0012)9 
 
 
 01 1154 
 
 0 
 
 0467)0 
 
 0 
 
 0*1728 
 
 0.006475 
 
 0 
 
 016821 
 
 0 
 
 001527 
 
 0 
 
 00019) 
 
 0 
 
 000067 
 
 0 
 
 00 00 21 
 
 
 C 12 
 
 Heat and poultry proceaslnfi 
 
 
 000422 
 
 0 
 
 001 146 
 
 0 
 
 000471 
 
 0 
 
 000570 
 
 c 
 
 000149 
 
 0 
 
 000))S 
 
 
 000)90 
 
 0 
 
 000228 
 
 0 
 
 000290 
 
 0 
 
 000182 
 
 0 
 
 0C2B24 
 
 
 0)9512 
 
 0 
 
 001)14 
 
 0.007777 
 
 0 
 
 011IB2 
 
 0 
 
 001592 
 
 0 
 
 000754 
 
 0 
 
 000)10 
 
 0 
 
 000109 
 
 
 C 13 
 
 Dairy pradiictE 
 
 D 
 
 00U)?1 
 
 
 DDI 125 
 
 0 
 
 00016) 
 
 D 
 
 ooooai 
 
 0 
 
 000046 
 
 0 
 
 000061 
 
 0 
 
 000084 
 
 0 
 
 000050 
 
 0 
 
 O00O42 
 
 0 
 
 000029 
 
 0 
 
 00)915 
 
 0 
 
 00)18) 
 
 1 
 
 08793) 
 
 0.007121 
 
 0 
 
 005264 
 
 0 
 
 001177 
 
 0 
 
 00008* 
 
 0 
 
 0000)8 
 
 0 
 
 OOOOtl 
 
 C 13 
 
 c n 
 
 Caanliie, preaervlng, fmilne 
 
 
 0000)7 
 
 0 
 
 000104 
 
 0 
 
 000042 
 
 0 
 
 00004 7 
 
 0 
 
 000026 
 
 0 
 
 000036 
 
 0 
 
 0000*7 
 
 0 
 
 000028 
 
 0 
 
 000024 
 
 0 
 
 000015 
 
 0 
 
 00025) 
 
 0 
 
 0000)5 
 
 0 
 
 000))I 
 
 1.016117 
 
 0 
 
 00*0** 
 
 0 
 
 000625 
 
 0 
 
 000051 
 
 0 
 
 000025 
 
 0 
 
 000009 
 
 C Ik 
 
 C 15 
 
 KlHcellAneoua agrl. procesalne 
 
 0 
 
 00«8SS 
 
 0 
 
 01977B 
 
 0 
 
 00541 S 
 
 0 
 
 002015 
 
 
 001142 
 
 0 
 
 001659 
 
 0 
 
 002 IB* 
 
 0 
 
 001427 
 
 0 
 
 001056 
 
 
 000644 
 
 0 
 
 05B815 
 
 0 
 
 00))19 
 
 0 
 
 0779*8 
 
 0.05295) 
 
 
 0B0157 
 
 0 
 
 01B305 
 
 0 
 
 00219* 
 
 0 
 
 0006*8 
 
 0 
 
 000198 
 
 C 15 
 
 C i£ 
 
 fTiml -all and fertUlierE 
 
 0 
 
 0I6«B2 
 
 0 
 
 02S)2B 
 
 0 
 
 016917 
 
 
 061187 
 
 0 
 
 0)4589 
 
 0 
 
 051796 
 
 0 
 
 075181 
 
 0 
 
 045217 
 
 0 
 
 0)2110 
 
 0 
 
 017*13 
 
 0 
 
 0484*0 
 
 0 
 
 011005 
 
 0 
 
 0)9B5B 
 
 0.0*6859 
 
 0 
 
 0)1926 
 
 
 251677 
 
 0 
 
 0*8155 
 
 0 
 
 017051 
 
 0 
 
 00506) 
 
 C 16 
 
 C 17 
 
 Fetrolnai 
 
 0 
 
 021045 
 
 0 
 
 D*2*9l 
 
 0 
 
 02212B 
 
 0 
 
 09 IBS 5 
 
 0 
 
 025574 
 
 0 
 
 019418 
 
 0 
 
 061^90 
 
 0 
 
 0)06** 
 
 0 
 
 047917 
 
 
 0209)0 
 
 0 
 
 027256 
 
 0 
 
 017110 
 
 0 
 
 025*1* 
 
 0.01)185 
 
 0 
 
 01Z9B) 
 
 0 
 
 007786 
 
 
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 0 
 
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 0 
 
 009885 
 
 C 17 
 
 C 18 
 
 Fabricated art*lE and aacMneiy 
 
 0 
 
 0](t2ai 
 
 0 
 
 045JBO 
 
 0 
 
 0)8129 
 
 0 
 
 10678T 
 
 0 
 
 026744 
 
 0 
 
 041406 
 
 0 
 
 0611S7 
 
 0 
 
 01)195 
 
 0 
 
 059948 
 
 0 
 
 02456) 
 
 0 
 
 037869 
 
 0 
 
 027*49 
 
 0 
 
 0)2967 
 
 0.15)779 
 
 0 
 
 0)*695 
 
 0 
 
 0)6011 
 
 0 
 
 0*7927 
 
 I 
 
 212787 
 
 0 
 
 0*)«0* 
 
 c la 
 
 C 19 
 
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 00)177 
 
 0 
 
 00*249 
 
 0 
 
 00)097 
 
 c 
 
 006084 
 
 0 
 
 002799 
 
 0 
 
 003112 
 
 0 
 
 00416* 
 
 0 
 
 002295 
 
 0 
 
 00)281 
 
 0 
 
 002064 
 
 0 
 
 0014)3 
 
 0 
 
 00B7B5 
 
 0 
 
 005599 
 
 0.005*99 
 
 0 
 
 0048)8 
 
 0 
 
 005)* 1 
 
 0 
 
 005*16 
 
 0 
 
 0101)1 
 
 1 
 
 29*11* 
 
 C 19 
 
 C 20 
 
 Prtauy aat»la 
 
 0 
 
 005620 
 
 0 
 
 007077 
 
 0 
 
 005611 
 
 0 
 
 015010 
 
 c 
 
 004197 
 
 0 
 
 006900 
 
 0 
 
 0098)3 
 
 0 
 
 005254 
 
 0 
 
 OOB40B 
 
 0 
 
 00)6 76 
 
 0 
 
 006559 
 
 0 
 
 004*84 
 
 0 
 
 00617) 
 
 0.021060 
 
 0 
 
 0065 70 
 
 0 
 
 017167 
 
 0 
 
 008706 
 
 0 
 
 155017 
 
 0 
 
 04*207 
 
 C 20 
 
 C 21 
 
 Other aamfacturlog 
 
 0 
 
 015682 
 
 
 0J4795 
 
 0 
 
 01T007 
 
 
 025262 
 
 0 
 
 012654 
 
 0 
 
 017142 
 
 0 
 
 045)02 
 
 0 
 
 027*10 
 
 0 
 
 01)516 
 
 0 
 
 01277* 
 
 0 
 
 056198 
 
 0 
 
 0199)8 
 
 
 06)260 
 
 0.09092* 
 
 0 
 
 0)8692 
 
 0 
 
 056867 
 
 0 
 
 028669 
 
 0 
 
 055216 
 
 0 
 
 0271)5 
 
 C 21 
 
 C 22 
 
 Mlnlne 
 
 0 
 
 0C151O 
 
 0 
 
 002987 
 
 0 
 
 001599 
 
 0 
 
 00)995 
 
 0 
 
 001419 
 
 0 
 
 00218) 
 
 0 
 
 003252 
 
 0 
 
 ODIBD) 
 
 0 
 
 002150 
 
 0 
 
 OOlll* 
 
 
 004861 
 
 0 
 
 001881 
 
 0 
 
 00)5)) 
 
 0.005612 
 
 0 
 
 002772 
 
 0 
 
 014198 
 
 0 
 
 0271)0 
 
 0 
 
 017*86 
 
 0 
 
 009126 
 
 C 22 
 
 C 23 
 
 (MUtlea 
 
 0 
 
 012390 
 
 0 
 
 019216 
 
 0 
 
 014461 
 
 
 015171 
 
 0 
 
 01tT64 
 
 0 
 
 0112 25 
 
 0 
 
 01*050 
 
 0 
 
 010657 
 
 0 
 
 00I9T6 
 
 0 
 
 01))82 
 
 0 
 
 012495 
 
 0 
 
 01564) 
 
 0 
 
 021567 
 
 0.02147) 
 
 0 
 
 018002 
 
 0 
 
 026926 
 
 0 
 
 0)))65 
 
 0 
 
 0l9iS4 
 
 0 
 
 010918 
 
 C S3 
 
 C 2l> 
 
 Salactad aanrleci 
 
 0 
 
 01l6e>0 
 
 
 015150 
 
 0 
 
 010209 
 
 0 
 
 020474 
 
 0 
 
 C08251 
 
 0 
 
 012211 
 
 0 
 
 01665T 
 
 0 
 
 009109 
 
 0 
 
 011*10 
 
 0 
 
 007*85 
 
 0 
 
 010996 
 
 
 0*2127 
 
 0 
 
 020216 
 
 0.015851 
 
 c 
 
 014264 
 
 0 
 
 017159 
 
 0 
 
 0122r« 
 
 0 
 
 007811 
 
 0 
 
 001290 
 
 C 2k 
 
 C 25 
 
 IMda aad tranaportatlon 
 
 0 
 
 
 0 
 
 121100 
 
 0 
 
 091587 
 
 0 
 
 070511 
 
 0 
 
 0)1285 
 
 0 
 
 019662 
 
 0 
 
 04T9S6 
 
 0 
 
 02781) 
 
 0 
 
 0)721* 
 
 0 
 
 027779 
 
 0 
 
 0886)8 
 
 0 
 
 094550 
 
 0 
 
 167118 
 
 0. 1)7)2) 
 
 0 
 
 2491 ]4 
 
 
 15011) 
 
 0 
 
 1098*) 
 
 0 
 
 Dl)66l 
 
 0 
 
 0)2500 
 
 C 25 
 
 C 26 
 
 UMlIocatcd 
 
 0 
 
 0A6baa 
 
 
 087809 
 
 0 
 
 074008 
 
 0 
 
 147547 
 
 0 
 
 094)86 
 
 
 06B257 
 
 0 
 
 0645B7 
 
 0 
 
 0)6651 
 
 0 
 
 01)618 
 
 
 0*7055 
 
 0 
 
 081549 
 
 0 
 
 I 12 776 
 
 0 
 
 121269 
 
 0. 1 11810 
 
 0 
 
 126619 
 
 0 
 
 1187)2 
 
 0 
 
 22*028 
 
 0 
 
 0*5651 
 
 0 
 
 029720 
 
 C 26 
 
 A 1 
 
 Mtat in^la and product* 
 
 0 
 
 OCOCOt 
 
 0 
 
 000001 
 
 0 
 
 000001 
 
 0 
 
 000000 
 
 0 
 
 COOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 
 OOOIOS 
 
 0 
 
 OOOOOL 
 
 0.000001 
 
 0 
 
 COOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 1 
 
 A 2 
 
 Poultry and cgea 
 
 0 
 
 000000 
 
 
 000054 
 
 0 
 
 oocooc 
 
 0 
 
 000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 000017 
 
 0 
 
 OOOOOO 
 
 0.000000 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 2 
 
 A 3 
 
 Pars dairy product* 
 
 0 
 
 000001 
 
 p 
 
 DOOOOl 
 
 0 
 
 000041 
 
 0 
 
 000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 0 
 
 D0DO02 
 
 0 
 
 000691 
 
 0.000005 
 
 0 
 
 00000) 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOdOOO 
 
 0 
 
 OOOOOO 
 
 A 3 
 
 A 
 
 Tood and faed gralna 
 
 0 
 
 
 0 
 
 0OZ216 
 
 0 
 
 000881 
 
 0 
 
 000371 
 
 0 
 
 000006 
 
 0 
 
 00000) 
 
 0 
 
 000002 
 
 0 
 
 000002 
 
 
 000002 
 
 0 
 
 00002) 
 
 0 
 
 002698 
 
 
 000508 
 
 
 000512 
 
 0.000027 
 
 0 
 
 0001*6 
 
 0 
 
 00001) 
 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A k 
 
 A 5 
 
 
 
 ooDoao 
 
 0 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 000141 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 0.000001 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 5 
 
 A 6 
 
 nsrtahle* 
 
 Pnlt (odudlne eltrua) t mita 
 
 0 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 oococo 
 
 0 
 
 000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 00001) 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 ODOOOO 
 
 0 
 
 OOOOOO 
 
 0.000*18 
 
 0 
 
 CQ0002 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 6 
 
 A 7 
 
 a 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 ODOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 DOOQCO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0.000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A T 
 
 A B 
 
 Cttrua 
 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 GCCOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0.00C147 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 8 
 
 A 9 
 
 
 0 
 
 D0289S 
 
 0 
 
 00006} 
 
 0 
 
 001396 
 
 0 
 
 CC00I7 
 
 0 
 
 000046 
 
 0 
 
 000021 
 
 0 
 
 oooou 
 
 6 
 
 000009 
 
 0 
 
 000015 
 
 0 
 
 00025* 
 
 0 
 
 000179 
 
 0 
 
 0011 32 
 
 0 
 
 001656 
 
 0.000016 
 
 0 
 
 OOOOIT 
 
 0 
 
 OOOOlO 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 A 9 
 
 A 10 
 
 MaccUantoiu aArtcultur* 
 
 0 
 
 ooooss 
 
 
 000069 
 
 0 
 
 000098 
 
 0 
 
 0000 78 
 
 0 
 
 000208 
 
 0 
 
 000090 
 
 0 
 
 0000 *• 
 
 
 000041 
 
 0 
 
 000062 
 
 0 
 
 00006* 
 
 0 
 
 0000B7 
 
 0 
 
 0000)8 
 
 0 
 
 000055 
 
 0.000090 
 
 0 
 
 000050 
 
 0 
 
 000017 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 A 10 
 
 A U 
 
 Qrain kLU {irodueta 
 
 0 
 
 000001 
 
 0 
 
 000022 
 
 0 
 
 00C004 
 
 0 
 
 000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 000002 
 
 0 
 
 000008 
 
 0 
 
 000052 
 
 0. OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A U 
 
 A 12 
 
 MMt and poultry procaailng 
 
 0 
 
 000001 
 
 0 
 
 000001 
 
 
 ooeool 
 
 0 
 
 ODCOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 0.000000 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 12 
 
 A 13 
 
 Dairy produrtn 
 
 0 
 
 000001 
 
 0 
 
 000001 
 
 0 
 
 oocoot 
 
 0 
 
 000000 
 
 0 
 
 CCOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 0.000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 13 
 
 A U 
 
 Canning preaerrlaa, frveilne 
 
 0 
 
 000000 
 
 0 
 
 oo&ooo 
 
 0 
 
 000000 
 
 0 
 
 oooooo 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOCDOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0.000000 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A Ik 
 
 A 15 
 
 RlacallAiwaua agrl. proccailna 
 
 0 
 
 000002 
 
 0 
 
 000001 
 
 0 
 
 000002 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 ooaoQO 
 
 0 
 
 OOOOOO 
 
 0 
 
 00000) 
 
 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0.000001 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 a 
 
 OOOOOB 
 
 0 
 
 OOOOOO 
 
 A 15 
 
 A l£ 
 
 Ctelcala and fertlUaara 
 
 0 
 
 OOOObS 
 
 
 000089 
 
 0 
 
 000069 
 
 0 
 
 000016 
 
 0 
 
 000004 
 
 0 
 
 OOOOOl 
 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 000004 
 
 0 
 
 OOOlOB 
 
 0 
 
 0000)2 
 
 0 
 
 0000)9 
 
 0.000012 
 
 0 
 
 00000) 
 
 0 
 
 000002 
 
 0 
 
 OODOOI 
 
 0 
 
 Doooei 
 
 0 
 
 OOOOOl 
 
 A 16 
 
 A 17 
 
 tatrolstM 
 
 0 
 
 0C0OO5 
 
 0 
 
 000005 
 
 0 
 
 000005 
 
 0 
 
 OOOOOl 
 
 c 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 000006 
 
 0 
 
 U00002 
 
 0 
 
 OOCOO) 
 
 0.000001 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 17 
 
 A LB 
 
 Falirlcatad actala and aachliiaiy 
 
 D 
 
 00019 7 
 
 0 
 
 00C210 
 
 0 
 
 0DO199 
 
 
 0004 72 
 
 0 
 
 000120 
 
 0 
 
 000191 
 
 0 
 
 00027T 
 
 0 
 
 000146 
 
 0 
 
 000262 
 
 0 
 
 OOOlOB 
 
 0 
 
 000205 
 
 0 
 
 OOOD) 
 
 0 
 
 000162 
 
 0.000612 
 
 0 
 
 000155 
 
 0 
 
 000158 
 
 0 
 
 000209 
 
 0 
 
 000926 
 
 0 
 
 000)69 
 
 A 18 
 
 A 19 
 
 Aircraft and psrta 
 
 0 
 
 000001 
 
 0 
 
 000001 
 
 0 
 
 ODOOO) 
 
 0 
 
 000004 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 OOOOOl 
 
 0 
 
 00000* 
 
 0 
 
 000002 
 
 0 
 
 00000) 
 
 0. 000005 
 
 0 
 
 000002 
 
 0 
 
 000002 
 
 0 
 
 000002 
 
 0 
 
 000006 
 
 0 
 
 000002 
 
 A 19 
 
 A ZO 
 
 TriMmrt aetala 
 
 
 
 0 
 
 000022 
 
 0 
 
 000020 
 
 0 
 
 00004) 
 
 0 
 
 00001 1 
 
 0 
 
 000017 
 
 0 
 
 000025 
 
 0 
 
 00001) 
 
 0 
 
 000024 
 
 0 
 
 OOOOlO 
 
 0 
 
 000021 
 
 0 
 
 00001) 
 
 0 
 
 000016 
 
 0.000061 
 
 0 
 
 000015 
 
 0 
 
 0000 1 5 
 
 0 
 
 000021 
 
 0 
 
 000085 
 
 e 
 
 0000)9 
 
 A 20 
 
 A 21 
 
 Ottwr aaouf acturUg 
 
 0 
 
 00001 7 
 
 0 
 
 000019 
 
 0 
 
 000018 
 
 0 
 
 000016 
 
 0 
 
 000005 
 
 0 
 
 000006 
 
 0 
 
 000004 
 
 t 
 
 ODOOOS 
 
 0 
 
 000008 
 
 0 
 
 00000* 
 
 0 
 
 OC0020 
 
 
 OOOOlO 
 
 0 
 
 000015 
 
 0.000029 
 
 0 
 
 000008 
 
 0 
 
 000007 
 
 0 
 
 000009 
 
 0 
 
 oeoo2* 
 
 0 
 
 00001 L' 
 
 A 21 
 
 A S2 
 
 
 0 
 
 000009 
 
 0 
 
 D00015 
 
 0 
 
 000009 
 
 0 
 
 000021 
 
 0 
 
 000007 
 
 0 
 
 000011 
 
 0 
 
 000016 
 
 0 
 
 000009 
 
 0 
 
 OOOOtl 
 
 0 
 
 000005 
 
 0 
 
 000022 
 
 0 
 
 OOODIO 
 
 0 
 
 000016 
 
 0. 000029 
 
 0 
 
 DOOOl) 
 
 0 
 
 0000 58 
 
 0 
 
 000109 
 
 0 
 
 000079 
 
 0 
 
 00002* 
 
 A 22 
 
 A 23 
 
 UtiUtlea 
 
 
 0000 }0 
 
 0 
 
 000011 
 
 0 
 
 00001) 
 
 0 
 
 000015 
 
 0 
 
 000007 
 
 0 
 
 000006 
 
 0 
 
 00000? 
 
 0 
 
 000004 
 
 0 
 
 000007 
 
 0 
 
 000009 
 
 0 
 
 00001* 
 
 0 
 
 000017 
 
 0 
 
 0000)1 
 
 0.00002) 
 
 0 
 
 OOOOtl 
 
 0 
 
 OOOOlO 
 
 0 
 
 oooou 
 
 0 
 
 000021 
 
 0 
 
 OOOOOa 
 
 A 23 
 
 A 2U 
 
 Salaetad aarvlcea 
 
 
 OOOOOa 
 
 0 
 
 OOOOlO 
 
 0 
 
 00C009 
 
 0 
 
 000005 
 
 0 
 
 000002 
 
 0 
 
 000002 
 
 0 
 
 000002 
 
 0 
 
 ooooai 
 
 0 
 
 000002 
 
 0 
 
 000002 
 
 0 
 
 oooou 
 
 0 
 
 000006 
 
 0 
 
 OOOOlO 
 
 0. 00000 7 
 
 0 
 
 000006 
 
 0 
 
 OOOOO* 
 
 
 OOOOO* 
 
 0 
 
 000007 
 
 0 
 
 OOOOO) 
 
 A 2k 
 
 A 25 
 
 n«de and tranaportatlOD 
 
 
 OO00V5 
 
 0 
 
 00D15S 
 
 0 
 
 000126 
 
 0 
 
 OOOIOT 
 
 0 
 
 0000*4 
 
 0 
 
 000051 
 
 0 
 
 M006S 
 
 0 
 
 OOOOIT 
 
 0 
 
 oooos* 
 
 0 
 
 0000)7 
 
 0 
 
 000126 
 
 0 
 
 000112 
 
 0 
 
 000229 
 
 0.000185 
 
 6 
 
 000259 
 
 0 
 
 000161 
 
 0 
 
 000127 
 
 0 
 
 0001*9 
 
 0 
 
 D0009T 
 
 A 25 
 
 A 26 
 
 ttialloeaAad 
 
 0 
 
 000241 
 
 0 
 
 000246 
 
 0 
 
 000260 
 
 0 
 
 000091 
 
 0 
 
 OOOOIT 
 
 0 
 
 000029 
 
 0 
 
 0000)5 
 
 0 
 
 000020 
 
 0 
 
 00001) 
 
 0 
 
 000030 
 
 0 
 
 000285 
 
 0 
 
 000128 
 
 0 
 
 000195 
 
 O.OOOtll 
 
 0 
 
 0000T5 
 
 0 
 
 0000*8 
 
 0 
 
 000048 
 
 0 
 
 oaoiQO 
 
 
 00009* 
 
 A 26 
 
 (Contlniad on naort pasa. ) 
 

 
 
 C 20 
 
 
 
 
 
 C 23 
 
 
 C i^l 
 
 c ?5 
 
 
 
 
 
 
 
 A 3 
 
 
 
 
 
 
 A 7 
 
 A 
 
 
 A 9 
 
 
 
 
 
 
 A 12 
 
 
 
 
 
 
 
 
 
 
 
 
 Trade 
 
 
 
 
 
 Poultry 
 
 
 Para 
 
 
 
 
 
 
 Fruit 
 
 
 
 
 
 
 
 Grain 
 
 
 Heat t 
 
 
 Sector 
 
 
 Priaaiy 
 
 outer 
 
 
 
 
 
 Selected 
 
 md 
 
 
 
 
 and 
 
 
 ialry 
 
 
 
 
 
 
 and 
 
 
 
 
 
 
 
 nil 
 
 
 Sector 
 
 
 
 
 Mtals 
 
 ■fg- 
 
 
 mntn« 
 
 
 
 
 
 
 locatad 
 
 anlaalB 
 
 
 eua 
 
 
 
 
 
 
 Veg. 
 
 
 nuts r:itnii 
 
 
 
 •grl. 
 
 
 
 
 
 number 
 
 C 1 
 
 Meat ulwli Md probicti 
 
 0 
 
 00010} □ 
 
 000 J2B 
 
 0 
 
 000117 
 
 0 
 
 00C124 
 
 0 
 
 000254 0 
 
 CC0;59 
 
 0 
 
 001 152 
 
 0 
 
 000015 
 
 0 
 
 000105 
 
 0 
 
 000050 
 
 0.000049 0 
 
 000026 
 
 0 
 
 00001b 
 
 0 
 
 0000)0 0 
 
 000022 
 
 0 
 
 000015 
 
 0 
 
 00001 1 
 
 0 
 
 000162 
 
 0 
 
 054)21 
 
 C 1 
 
 C ? 
 
 Foultr? and esgi 
 
 
 OOOOIV 0 
 
 000056 
 
 0 
 
 000021 
 
 0 
 
 000021 
 
 c 
 
 000044 0 
 
 C0OO44 
 
 0 
 
 000196 
 
 0 
 
 OOOOO) 
 
 0 
 
 I4B15) 
 
 0 
 
 000011 
 
 0.000010 0 
 
 3^0005 
 
 0 
 
 OOOOO) 
 
 0 
 
 300006 0 
 
 000004 
 
 0 
 
 OOOOO) 
 
 0 
 
 oooooo 
 
 0 
 
 00004) 
 
 0 
 
 005877 
 
 C 2 
 
 C 3 
 
 f^im dairy proAieti 
 
 0 
 
 OOOOlt 0 
 
 00 00*. t 
 
 0 
 
 000016 
 
 
 OOCOOO 
 
 0 
 
 000012 0 
 
 oooors 
 
 
 000051 
 
 0 
 
 
 
 000)54 
 
 0 
 
 00028* 
 
 0.000011 0 
 
 OOOOO' 
 
 0 
 
 QC0004 
 
 0 
 
 000006 C 
 
 000C06 
 
 0 
 
 000004 
 
 0 
 
 OOOOO) 
 
 0 
 
 
 0 
 
 000028 
 
 C 3 
 
 C I- 
 
 rood and feed gnlnt 
 
 0 
 
 000D2T 0 
 
 
 0 
 
 00002H 
 
 0 
 
 000016 
 
 
 OOCOIB 0 
 
 C00040 
 
 0 
 
 0001 15 
 
 0 
 
 002656 
 
 0 
 
 094911 
 
 0 
 
 01569 7 
 
 0.0022)' 0 
 
 030121 
 
 
 0000)2 
 
 0 
 
 000060 0 
 
 000086 
 
 0 
 
 00002 
 
 0 
 
 000891 
 
 0 
 
 025207 
 
 0 
 
 006694 
 
 C It 
 
 C 5 
 
 
 0 
 
 OflOOOS 0 
 
 0001b' 
 
 0 
 
 OOOODT 
 
 0 
 
 000005 
 
 0 
 
 G0CO09 0 
 
 COOOO) 
 
 0 
 
 00000' 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 O.CCCOOO 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 
 OOOOOO 0 
 
 OOCOOO 
 
 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 c 5 
 
 C 6 
 
 VegetaDlc* 
 
 0 
 
 00000} 0 
 
 occooe 
 
 0 
 
 000002 
 
 0 
 
 OOCOOl 
 
 0 
 
 000005 C 
 
 coocu 
 
 0 
 
 OOOOOB 
 
 0 
 
 000026 
 
 0 
 
 000057 
 
 0 
 
 000040 
 
 0.000060 0 
 
 000040 
 
 0 
 
 000020 
 
 0 
 
 0C0C42 0 
 
 0000)0 
 
 0 
 
 00002) 
 
 0 
 
 000024 
 
 0 
 
 000072 
 
 0 
 
 000051 
 
 C 6 
 
 C 7 
 
 milt (exdudljie citrua) 4 luti 
 
 0 
 
 D0002S 0 
 
 
 0 
 
 O00C25 
 
 
 O0CO07 
 
 0 
 
 000024 0 
 
 COOOll 
 
 0 
 
 000040 
 
 
 000054 
 
 0 
 
 000524 
 
 0 
 
 000124 
 
 0.0001)5 0 
 
 0000B2 
 
 0 
 
 000C45 
 
 0 
 
 O000B9 0 
 
 000064 
 
 0 
 
 000048 
 
 0 
 
 000045 
 
 0 
 
 000455 
 
 0 
 
 000101 
 
 
 C 8 
 
 Citrus 
 
 
 CCOOOO 0 
 
 
 0 
 
 000000 
 
 
 
 
 OOCOOO 0 
 
 OOOOOl 
 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 000005 
 
 0 
 
 000004 
 
 0.000005 0 
 
 000004 
 
 0 
 
 000002 
 
 
 OOCDO* 0 
 
 OOOOO) 
 
 0 
 
 000002 
 
 0 
 
 Doooo; 
 
 
 00000 7 
 
 0 
 
 000009 
 
 
 C 9 
 
 
 0 
 
 000010 0 
 
 OOOIQI 
 
 0 
 
 OCOOll 
 
 0 
 
 00C029 
 
 □ 
 
 000064 c 
 
 COCC'4 
 
 0 
 
 0002 56 
 
 0 
 
 000041 
 
 0 
 
 002500 
 
 0 
 
 000)05 
 
 0.CC0O25 0 
 
 000024 
 
 0 
 
 00OC08 
 
 0 
 
 000012 0 
 
 COOOIB 
 
 
 000008 
 
 0 
 
 000007 
 
 0 
 
 000179 
 
 0 
 
 oiiiai 
 
 c 9 
 
 C 10 
 
 MlicelluMOUl KgrimltuiT 
 
 0 
 
 000205 0 
 
 001« '5 
 
 0 
 
 C0021S 
 
 0 
 
 000059 
 
 0 
 
 0OC1&5 0 
 
 OOOOTO 
 
 0 
 
 000164 
 
 0 
 
 00022) 
 
 0 
 
 005045 
 
 c 
 
 0009)6 
 
 0.0005)0 0 
 
 0 009 1 9 
 
 0 
 
 00015) 
 
 3 
 
 0001*2 0 
 
 00C6)9 
 
 0 
 
 0001 69 
 
 0 
 
 000212 
 
 0 
 
 OOl'OB 
 
 0 
 
 001109 
 
 C 10 
 
 C 11 
 
 Cr«ln bJU proAicts 
 
 0 
 
 OOOOTb 0 
 
 ooo;07 
 
 0 
 
 0000" 
 
 0 
 
 000026 
 
 0 
 
 0000 '5 0 
 
 000078 
 
 0 
 
 000206 
 
 0 
 
 O02'82 
 
 0 
 
 197064 
 
 0 
 
 018)64 
 
 0.000240 0 
 
 OOC 116 
 
 0 
 
 0000" 
 
 0 
 
 0001)5 C 
 
 000102 
 
 0 
 
 000065 
 
 0 
 
 000044 
 
 0 
 
 00 680) 
 
 0 
 
 OOT607 
 
 C 11 
 
 C 1£ 
 
 Niat aod poultry proceialiia 
 
 a 
 
 a002TB 0 
 
 OOOB'.B 
 
 0 
 
 OOL 316 
 
 
 oo; 3)5 
 
 0 
 
 000689 0 
 
 000'04 
 
 0 
 
 00)1 )2 
 
 
 000020 
 
 
 000 717 
 
 0 
 
 00009) 
 
 O.COOO'9 0 
 
 00D016 
 
 
 000026 
 
 3 
 
 0CCO4S C 
 
 COCO)) 
 
 0 
 
 000071 
 
 0 
 
 000016 
 
 0 
 
 000214 
 
 0 
 
 00009) 
 
 C 12 
 
 C 13 
 
 t»liy prothict* 
 
 0 
 
 00004) 0 
 
 000109 
 
 0 
 
 0000 )B 
 
 0 
 
 OOCOIB 
 
 c 
 
 CDCO'4 C 
 
 00018) 
 
 0 
 
 000120 
 
 0 
 
 000016 
 
 
 Q00S14 
 
 0 
 
 000086 
 
 0.000029 0 
 
 0001 14 
 
 0 
 
 000009 
 
 3 
 
 000016 0 
 
 000012 
 
 
 QC0Q06 
 
 
 000006 
 
 0 
 
 OOOIIO 
 
 0 
 
 0000)9 
 
 c 13 
 
 C 111 
 
 Cannlne, preaenilne, freeiln^ 
 
 0 
 
 000027 D 
 
 
 0 
 
 000t2» 
 
 0 
 
 0OCC12 
 
 0 
 
 000049 0 
 
 000125 
 
 0 
 
 OOOO'B 
 
 0 
 
 Q0024B 
 
 0 
 
 0005)9 
 
 
 000)7* 
 
 0.00056) 0 
 
 
 
 OODI 89 
 
 0 
 
 000195 0 
 
 0DO2B1 
 
 0 
 
 
 
 UU0222 
 
 0 
 
 000680 
 
 0 
 
 000477 
 
 C 111 
 
 C 15 
 
 Ml*celiajieoui a«rl. proceolng 
 
 0 
 
 oooaci 0 
 
 00^171 
 
 0 
 
 oo;; '<.' 
 
 0 
 
 0301BS 
 
 0 
 
 0005" 0 
 
 000)85 
 
 0 
 
 00106) 
 
 0 
 
 0004B2 
 
 0 
 
 016601 
 
 0 
 
 0O22B' 
 
 0.001469 0 
 
 OCt, JOB 
 
 
 
 
 00CB29 0 
 
 00062 ) 
 
 0 
 
 000)97 
 
 0 
 
 0002'* 
 
 0 
 
 011621 
 
 0 
 
 0008*0 
 
 C 15 
 
 C 16 
 
 Oialrala and rertllliera 
 
 0 
 
 oioavo a 
 
 05?6D9 
 
 0 
 
 020«2'J 
 
 0 
 
 OD2902 
 
 0 
 
 011)66 0 
 
 C0)% " 
 
 0 
 
 008249 
 
 
 002042 
 
 c 
 
 027)86 
 
 
 0O'OT6 
 
 0.021211 0 
 
 00''4 10 
 
 
 006 '61 
 
 0 
 
 011*22 0 
 
 0066)6 
 
 0 
 
 005240 
 
 0 
 
 00)141 
 
 0 
 
 021**5 
 
 0 
 
 002819 
 
 C 16 
 
 C 17 
 
 P«tn>leia 
 
 a 
 
 022J3) 0 
 
 0 16515 
 
 0 
 
 Civ5e) 
 
 0 
 
 01 '11 1 
 
 0 
 
 016461 C 
 
 0)1860 
 
 0 
 
 010545 
 
 0 
 
 O0OB26 
 
 0 
 
 019B91 
 
 0 
 
 002B54 
 
 0.00*466 0 
 
 001 159 
 
 0 
 
 000919 
 
 0 
 
 00)5*1 C 
 
 0021 19 
 
 0 
 
 001605 
 
 0 
 
 00090B 
 
 
 004)00 
 
 0 
 
 00247S 
 
 C IT 
 
 C 18 
 
 Fabrlcatei] Ktali and ■achlnery 
 
 0 
 
 065675 0 
 
 0'.*'.b5 
 
 0 
 
 05 71)6 
 
 0 
 
 012B7& 
 
 0 
 
 066220 0 
 
 012426 
 
 0 
 
 01"'l 
 
 0 
 
 002*19 
 
 
 02*949 
 
 0 
 
 006146 
 
 0.012147 0 
 
 oo 11)8 
 
 0 
 
 002)29 
 
 0 
 
 005256 0 
 
 004219 
 
 0 
 
 00*6)6 
 
 
 006*69 
 
 
 008276 
 
 0 
 
 004916 
 
 C lb 
 
 C 19 
 
 Aircraft and parta 
 
 0 
 
 00)276 a 
 
 
 0 
 
 0026)« 
 
 0 
 
 oa2)ri 
 
 0 
 
 18145B 0 
 
 00SS21 
 
 0 
 
 01 '959 
 
 0 
 
 D00D66 
 
 0 
 
 001869 
 
 0 
 
 000259 
 
 0.000226 0 
 
 Doooai 
 
 0 
 
 000066 
 
 
 00012) 0 
 
 000092 
 
 0 
 
 DOOO'l 
 
 0 
 
 
 0 
 
 000405 
 
 0 
 
 000)61 
 
 C 19 
 
 C 20 
 
 PrlMiy Bctala 
 
 
 l«9905 0 
 
 027*20 
 
 0 
 
 0)1 )94 
 
 0 
 
 00)499 
 
 
 014914 0 
 
 C0)C4 1 
 
 
 005475 
 
 0 
 
 000)92 
 
 0 
 
 004057 
 
 0 
 
 001000 
 
 0.001986 0 
 
 00C611 
 
 0 
 
 00046T 
 
 0 
 
 000911 C 
 
 C007)6 
 
 
 0007)4 
 
 0 
 
 000966 
 
 0 
 
 001510 
 
 
 000604 
 
 C 20 
 
 c ei 
 
 Otbtr aaiaif acturln^ 
 
 0 
 
 0)5))9 1 
 
 ;5;7?5 
 
 0 
 
 056196 
 
 0 
 
 0)4B9) 
 
 c 
 
 064465 0 
 
 C2)462 
 
 0 
 
 056075 
 
 
 00OB91 
 
 0 
 
 019479 
 
 0 
 
 002712 
 
 0.00250) 0 
 
 00122) 
 
 0 
 
 002897 
 
 
 00)024 0 
 
 002044 
 
 0 
 
 000649 
 
 0 
 
 001t95 
 
 0 
 
 
 0 
 
 0027)6 
 
 C 21 
 
 C 22 
 
 Woloe 
 
 0 
 
 121055 0 
 
 01 '951 
 
 
 099029 
 
 0 
 
 00124B 
 
 0 
 
 001164 0 
 
 001580 
 
 0 
 
 002912 
 
 0 
 
 0OD095 
 
 0 
 
 OOl 761 
 
 0 
 
 000)06 
 
 0.000514 0 
 
 00019) 
 
 0 
 
 OOOl'l 
 
 
 000101 0 
 
 000222 
 
 0 
 
 000164 
 
 0 
 
 00016* 
 
 0 
 
 00054) 
 
 0 
 
 000216 
 
 C 22 
 
 C 23 
 
 (nilltle* 
 
 0 
 
 0)a*12 0 
 
 02 )5 U 
 
 0 
 
 0)41 )'. 
 
 
 l'519B 
 
 0 
 
 021914 0 
 
 0)0924 
 
 0 
 
 021260 
 
 0 
 
 000)64 
 
 0 
 
 008072 
 
 0 
 
 001 168 
 
 0.C01016 0 
 
 000 60) 
 
 
 00041 1 
 
 
 00054B 0 
 
 000527 
 
 0 
 
 000141 
 
 0 
 
 000*40 
 
 D 
 
 
 0 
 
 00161 7 
 
 C 23 
 
 C Sit 
 
 
 a 
 
 00*260 0 
 
 01121' 
 
 0 
 
 005642 
 
 0 
 
 004291 
 
 
 0f9T7' 0 
 
 02)9)5 
 
 0 
 
 019761 
 
 0 
 
 000162 
 
 0 
 
 006)15 
 
 0 
 
 000725 
 
 0.000478 0 
 
 000196 
 
 0 
 
 000149 
 
 
 000268 0 
 
 000198 
 
 0 
 
 000129 
 
 0 
 
 000150 
 
 0 
 
 0011 70 
 
 0 
 
 001078 
 
 C 2i. 
 
 C 25 
 
 Trade and tranaportatian 
 
 0 
 
 110925 0 
 
 1050J* 
 
 
 0605*5 
 
 0 
 
 024 [91 
 
 0 
 
 062510 1 
 
 04H64e 
 
 0 
 
 052050 
 
 0 
 
 00259B 
 
 0 
 
 051924 
 
 0 
 
 010514 
 
 0.00*960 0 
 
 002)52 
 
 0 
 
 001 '24 
 
 0 
 
 00)492 0 
 
 002194 
 
 0 
 
 001515 
 
 0 
 
 002510 
 
 0 
 
 011685 
 
 0 
 
 016589 
 
 C 25 
 
 C 26 
 
 Unallocated 
 
 D 
 
 0nS55 0 
 
 0'6<-t2 
 
 
 0B641 1 
 
 
 1 1 '05' 
 
 0 
 
 21"09 0 
 
 1 '2978 
 
 1 
 
 Ib'OOB 
 
 0 
 
 001297 
 
 
 040184 
 
 0 
 
 005572 
 
 0.0042B1 n 
 
 no 1 70' 
 
 0 
 
 001 26 ' 
 
 0 
 
 002410 0 
 
 001 779 
 
 0 
 
 001218 
 
 
 001 )I0 
 
 0 
 
 009144 
 
 0 
 
 006870 
 
 C 26 
 
 A 1 
 
 Heat anlaala and products 
 
 0 
 
 occeoo 0 
 
 000000 
 
 0 
 
 OOOOOQ 
 
 
 030000 
 
 0 
 
 OOCOOO 0 
 
 
 0 
 
 OOOOOO 
 
 1 
 
 0OOOS6 
 
 
 000450 
 
 0 
 
 0001 ') 
 
 0.000219 0 
 
 000115 
 
 0 
 
 000071 
 
 0 
 
 000146 0 
 
 000105 
 
 0 
 
 00007B 
 
 0 
 
 ooor74 
 
 0 
 
 000918 
 
 
 595511 
 
 
 
 Poultry and eggs 
 
 0 
 
 COOOOO 0 
 
 000000 
 
 
 000000 
 
 a 
 
 aoooDo 
 
 0 
 
 OOCOOO C 
 
 COOOOO 
 
 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 1 
 
 12006 7 
 
 0 
 
 OOOOOl 
 
 0.000001 0 
 
 OOPOCO 
 
 0 
 
 OOOCOO 
 
 
 OOOOOO C 
 
 COCODO 
 
 0 
 
 OOOOOO 
 
 
 oooooo 
 
 0 
 
 OOOOO) 
 
 0 
 
 002026 
 
 A 2 
 
 A 3 
 
 Pan dairy products 
 
 0 
 
 aoooco 0 
 
 000000 
 
 0 
 
 oooooo 
 
 0 
 
 OOCOOO 
 
 0 
 
 OOCOOO 0 
 
 COOOOO 
 
 0 
 
 oooooo 
 
 0 
 
 0000 75 
 
 0 
 
 000721 
 
 
 027256 
 
 0.000145 0 
 
 00009* 
 
 0 
 
 C0004R 
 
 0 
 
 0O0OV9 U 
 
 000071 
 
 0 
 
 000055 
 
 0 
 
 000054 
 
 a 
 
 0016)2 
 
 0 
 
 0012B2 
 
 A 3 
 
 
 rood and feed grams 
 
 
 OOCOGO 0 
 
 OOOJOI 
 
 0 
 
 oooooo 
 
 0 
 
 OOCOOO 
 
 0 
 
 OOOOOl 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 C2706B 
 
 
 ))0U7 
 
 0 
 
 154862 
 
 1.028420 D 
 
 0O12O* 
 
 0 
 
 OOCl 76 
 
 0 
 
 000)51 0 
 
 OOO '98 
 
 0 
 
 000209 
 
 0 
 
 011512 
 
 0 
 
 10)5*8 
 
 0 
 
 0169B5 
 
 
 A 5 
 
 
 0 
 
 OOCOOO Q 
 
 OOJOlO 
 
 0 
 
 ouoaoo 
 
 0 
 
 oooooo 
 
 0 
 
 OOOOOl 0 
 
 OOOOOO 
 
 
 ooooao 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0.000000 I 
 
 0012S5 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOCOOO 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 0 
 
 OOOOOO 
 
 A 5 
 
 A 6 
 
 Vegetables 
 
 0 
 
 000000 0 
 
 OODOOO 
 
 0 
 
 oooooo 
 
 0 
 
 OOCOQC 
 
 c 
 
 OOCOOO c 
 
 COOOOO 
 
 0 
 
 oooooo 
 
 0 
 
 OOOOOO 
 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0. COCOOl 3 
 
 DDODOl 
 
 1 
 
 001957 
 
 0 
 
 OOCOOl c 
 
 OOCOOO 
 
 
 OOOOOO 
 
 0 
 
 DUOOOO 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 
 A 7 
 
 Ftult {exdudlDe citrus) & nuts 
 
 0 
 
 COOCCO D 
 
 OCjCOO 
 
 0 
 
 OOOODO 
 
 0 
 
 OODOOO 
 
 0 
 
 oooooo 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 0 
 
 COOOOl 
 
 0 
 
 000014 
 
 0 
 
 OOOOO) 
 
 0.000002 0 
 
 OOuOOl 
 
 
 OOOOOl 
 
 1 
 
 000301 L 
 
 COCOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOO 
 
 0 
 
 00002 
 
 0 
 
 OOOOOl 
 
 A T 
 
 A a 
 
 
 0 
 
 OOCOOO 0 
 
 003050 
 
 0 
 
 oooooo 
 
 0 
 
 OOCTOO 
 
 
 oooooo 0 
 
 OOOOOO 
 
 0 
 
 oooooo 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0.000001 0 
 
 OOOOOl 
 
 0 
 
 000030 
 
 0 
 
 OOCOOl 1 
 
 00091 1 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 OOOOOl 
 
 
 A 9 
 
 Pora«t 
 
 0 
 
 OOOOOl 0 
 
 000U02 
 
 0 
 
 000001 
 
 0 
 
 OOOCOO 
 
 c 
 
 COCOOl c 
 
 COOOOl 
 
 0 
 
 000004 
 
 0 
 
 161966 
 
 0 
 
 000818 
 
 0 
 
 181212 
 
 0.001819 0 
 
 OO*'!* 
 
 0 
 
 C036B1 
 
 
 001*46 C 
 
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 A 13 
 
 
 
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 OG ?2)0 
 
 0 
 
 010064 
 
 0 
 
 000791 
 
 0 
 
 099994 
 
 0.06*657 
 
 
 474940 
 
 0 
 
 01011* 
 
 
 01928* 
 
 0 
 
 00)6*9 
 
 0 
 
 00)791 0 
 
 001669 
 
 0 
 
 00*118 
 
 A 20 
 
 A 21 
 
 Other Banifacturine 
 
 0 
 
 
 0. 021767 
 
 0 
 
 0150B9 
 
 0 
 
 014574 
 
 0 
 
 006956 
 
 0 
 
 0)0)99 
 
 0.029BB4 
 
 0 
 
 020990 
 
 1 
 
 18)742 
 
 0 
 
 024268 
 
 0 
 
 ouiia 
 
 0 
 
 023289 0 
 
 DU6TI 
 
 0 
 
 016876 
 
 A 21 
 
 A 22 
 
 Mining 
 
 0 
 
 000861 
 
 0.001101 
 
 0 
 
 OOj8a2 
 
 0 
 
 006911 
 
 0 
 
 00514) 
 
 0 
 
 012)28 
 
 0.008080 
 
 0 
 
 168781 
 
 0 
 
 027*19 
 
 1 
 
 
 0 
 
 001019 
 
 0 
 
 000988 0 
 
 003403 
 
 0 
 
 001)67 
 
 A 22 
 
 A 23 
 
 ;rtuitie» 
 
 0 
 
 022«V} 
 
 0.01462) 
 
 0 
 
 014)76 
 
 0 
 
 C29919 
 
 
 021)27 
 
 
 019044 
 
 0. 019508 
 
 0 
 
 051574 
 
 0 
 
 026S96 
 
 0 
 
 0*5601 
 
 I 
 
 11969) 
 
 0 
 
 0269)1 0 
 
 0)5161 
 
 0 
 
 C26692 
 
 A 23 
 
 A 2b 
 
 Selected lerrlcci 
 
 0 
 
 01490S 
 
 0.0077)7 
 
 0 
 
 006851 
 
 0 
 
 008823 
 
 0 
 
 00)427 
 
 0 
 
 005702 
 
 0.0032*9 
 
 0 
 
 005758 
 
 0 
 
 009505 
 
 0 
 
 00*350 
 
 0 
 
 004 755 
 
 
 061881 0 
 
 02O71T 
 
 
 015198 
 
 A 2b 
 
 A S5 
 
 TVBdc ud truiipoT^tlan 
 
 0 
 
 i30i;i 
 
 0.091S4S 
 
 
 0930)5 
 
 0 
 
 08071) 
 
 
 069694 
 
 0 
 
 07353* 
 
 0.04T86S 
 
 0 
 
 098379 
 
 0 
 
 OBBBBO 
 
 0 
 
 0$8»)1 
 
 0 
 
 0)1954 
 
 0 
 
 082070 I 
 
 D452T5 
 
 0 
 
 0**C 38 
 
 A 25 
 
 A 26 
 
 UMllocBted 
 
 0 
 
 
 0.0815)6 
 
 
 106890 
 
 0 
 
 089224 
 
 0 
 
 07093* 
 
 0 
 
 092Sa0 
 
 6.12*715 
 
 0 
 
 09022T 
 
 0 
 
 106)79 
 
 0 
 
 12*910 
 
 0 
 
 186741 
 
 0 
 
 165716 0 
 
 188571 
 
 
 182 312 
 
 A 26 
 
 ^ Each entry ibow* dolJ^i of dlr«ct and Indirect requlr«»enti of the California or Arizona aector Hated at tbe left per dollar of the final daana for producta of California or Arliona aector listed at tne top. 
 
TABLE 9 
 
 A Measure of California Dependence on Arizona 
 
 
 
 
 
 1 V 2 
 
 
 
 California sectors 
 
 n 
 
 Index of 
 
 
 Sector 
 
 
 Partial , 
 a/ 
 
 effects— 
 
 Total 
 effects— 
 
 product 
 
 
 number 
 
 Sector title 
 
 dependence 
 
 Rank 
 
 
 
 1 
 
 2 
 
 3 
 
 4 
 
 1 
 
 Meat animals and products 
 
 .004684 
 
 1.646616 
 
 .002845 
 
 2 
 
 2 
 
 Poultry and eggs 
 
 .003259 
 
 2.169063 
 
 .001503 
 
 5 
 
 3 
 
 Farm dairy products 
 
 .005178 
 
 1.752008 
 
 .002956 
 
 1 
 
 4 
 
 Food and feed grains 
 
 .001260 
 
 1.644145 
 
 .000766 
 
 9 
 
 5 
 
 Cotton 
 
 .000639 
 
 1.394633 
 
 .000458 
 
 12 
 
 6 
 
 Vegetables 
 
 .000444 
 
 1.385411 
 
 .000321 
 
 18 
 
 7 
 
 Fruit (excluding citrus) 
 
 
 
 
 
 
 and nuts 
 
 .000499 
 
 1.445487 
 
 .000345 
 
 17 
 
 8 
 
 Citrus 
 
 .000289 
 
 1.258847 
 
 .000230 
 
 22 
 
 9 
 
 Forage 
 
 .000483 
 
 1.343334 
 
 .000360 
 
 16 
 
 10 
 
 Miscellaneous agriculture 
 
 .000547 
 
 1.240339 
 
 .000441 
 
 14 
 
 11 
 
 Grain mill products 
 
 .003817 
 
 1.700230 
 
 .002245 
 
 3 
 
 12 
 
 Meat and poultry 
 
 
 
 
 
 
 processing 
 
 .002279 
 
 2.026783 
 
 .001124 
 
 6 
 
 13 
 
 Dairy products 
 
 .003691 
 
 2.341098 
 
 .001577 
 
 4 
 
 14 
 
 Canning , preserving. 
 
 
 
 
 
 
 freezing 
 
 .001884 
 
 2.086032 
 
 .000903 
 
 7 
 
 15 
 
 Miscellaneous agricul- 
 
 
 
 
 
 
 tural processing 
 
 .000796 
 
 1.759841 
 
 .000452 
 
 13 
 
 16 
 
 Chemicals and 
 
 
 
 
 
 
 fertilizers 
 
 .000506 
 
 1.787861 
 
 .000283 
 
 20 
 
 17 
 
 Petroleum 
 
 .000545 
 
 2.387331 
 
 .000228 
 
 23 
 
 18 
 
 Fabricated metals and 
 
 
 
 
 
 
 machinery 
 
 .001406 
 
 1.682961 
 
 .000835 
 
 8 
 
 19 
 
 Aircraft 
 
 .000542 
 
 1.502493 
 
 .000361 
 
 15 
 
 20 
 
 Primary metals 
 
 .001099 
 
 1.699747 
 
 .000647 
 
 10 
 
 21 
 
 Other manufacturing 
 
 .000488 
 
 1.640646 
 
 .000297 
 
 19 
 
 22 
 
 Mining 
 
 .000878 
 
 1.496255 
 
 .000587 
 
 11 
 
 23 
 
 Utilities 
 
 .000110 
 
 1.397200 
 
 .000079 
 
 26 
 
 24 
 
 Selected services 
 
 .000472 
 
 1.742568 
 
 .000271 
 
 21 
 
 25 
 
 Trade and transportation 
 
 .000141 
 
 1.365480 
 
 .000103 
 
 25 
 
 26 
 
 Unallocated services 
 
 .000186 
 
 1.387881 
 
 .000134 
 
 24 
 
 a/ Indicates production generated in Arizona only due to one dollar change in 
 ~ final demand in specified California sectors. 
 
 b/ Indicates production generated in both California and Arizona due to one 
 ~ dollar change in final demand in specified California sectors. 
 
 -38- 
 
mill products), 13 (Dairy products), and 2 (Poultry and eggs), respectively, 
 are the five California sectors which are most dependent on Arizona sectors 
 directly through importing from Arizona sectors and/or indirectly through buy- 
 ing from other California sectors which are themselves interdependent with 
 other Arizona sectors. 
 
 Arizona dependence on Californ ia. — The comparable "total" and "partial" 
 effects to show Arizona's dependence on California is presented in Table 10. 
 Sectors 2 (Poultry and eggs), 14 (Canning, preserving, and freezing), 18 
 (Fabricated metals and machinery), 15 (Misc. agricultural processing), and 
 16 (Chemical and fertilizers) show the greatest relative product dependence 
 on California. 
 
 Output multiplier effects . — The "total effects" (K vector defined above) 
 can be interpreted as representing "output multipliers" for the 52 endogenous 
 
 C 3 
 
 sectors in the combined two-state economy. A comparison of K and K (Table 
 9, column 2, and Table 10, column 2, respectively) indicates that the majority 
 of California sectors (20 out of 26) have larger "output multipliers" than 
 their corresponding Arizona counterparts. This implies that most of the 
 California sectors would induce (both directly and indirectly) greater output 
 for the combined two-state economy per dollar's delivery to final demand than 
 their corresponding Arizona sectors. 
 
 However, it should be emphasized that these measures reflect the under- 
 lying assumption that all interrelated sectors have not exceeded their produc- 
 tion capacities. To be able to answer the question of which is the optimum 
 pattern for expanding the combined two-state economy, it would be necessary to 
 expand the basic I-O model to incorporate restraints and criteria for deciding 
 between the feasibility of expanding the requisite capacities as opposed to 
 importing from outside. 
 
 Water Interdependence 
 
 JL 
 
 In Table 11 estimates of the w" matrix (see Equation 15) are presented 
 which show, in millions of gallons, direct plus indirect water requirements 
 of California or Arizona sectors listed on the left per $1,000 of final de- 
 mand for the products of the sectors listed at the top. For example, the 
 
 -39- 
 
TABLE 10 
 
 A Measure of Arizona Dependence on California 
 
 
 
 ca 
 
 
 1 T 2 
 
 
 
 Arizona sectors 
 
 
 Index of 
 
 
 Sector 
 
 
 Partial , 
 a/ 
 
 effects— 
 
 b/ 
 
 effects— 
 
 product 
 
 
 number 
 
 Sector title 
 
 dependence 
 
 Rank 
 
 
 
 1 
 
 2 
 
 3 
 
 4 
 
 1 
 
 Meat animals and products 
 
 .017749 
 
 1.323414 
 
 .013412 
 
 26 
 
 2 
 
 Poultry and eggs 
 
 .873685 
 
 2.936274 
 
 .297549 
 
 1 
 
 3 
 
 Farm dairy products 
 
 .077027 
 
 1.710689 
 
 .045027 
 
 12 
 
 4 
 
 Food and feed grains 
 
 .059232 
 
 1.298778 
 
 .045606 
 
 10 
 
 5 
 
 Cotton 
 
 .023572 
 
 1.254435 
 
 .018791 
 
 20 
 
 6 
 
 Vegetables 
 
 .018217 
 
 1.110893 
 
 .016399 
 
 22 
 
 7 
 
 Fruit (excluding citrus) 
 
 
 
 
 
 
 and nuts 
 
 .033150 
 
 1.201308 
 
 .027595 
 
 16 
 
 8 
 
 Citrus 
 
 .024929 
 
 1.196709 
 
 .020831 
 
 19 
 
 9 
 
 Forage 
 
 .017578 
 
 1.105732 
 
 .015897 
 
 23 
 
 10 
 
 Miscellaneous agriculture 
 
 .019046 
 
 1.206302 
 
 .015789 
 
 24 
 
 11 
 
 Grain mill products 
 
 .117391 
 
 1.701741 
 
 .068983 
 
 6 
 
 12 
 
 Meat and poultry 
 
 
 
 
 
 
 processing 
 
 .129049 
 
 2.170525 
 
 .059455 
 
 9 
 
 13 
 
 Dairy products 
 
 .074511 
 
 2.239140 
 
 .033277 
 
 13 
 
 14 
 
 Canning , preserving , 
 
 
 
 
 
 
 freezing 
 
 .294466 
 
 1.656501 
 
 .177764 
 
 2 
 
 15 
 
 Miscellaneous agricul- 
 
 
 
 
 
 
 tural processing 
 
 .143991 
 
 1.622442 
 
 .088750 
 
 4 
 
 16 
 
 Chemicals and 
 
 
 
 
 
 
 fertilizers 
 
 .114120 
 
 1.482951 
 
 .076955 
 
 5 
 
 17 
 
 Petroleum 
 
 .030054 
 
 1.227249 
 
 .024489 
 
 18 
 
 18 
 
 Fabricated metals and 
 
 
 
 
 
 
 machinery 
 
 .152093 
 
 1.605587 
 
 .094727 
 
 3 
 
 19 
 
 Aircraft 
 
 .111969 
 
 1.731637 
 
 .064661 
 
 7 
 
 20 
 
 Primary metals 
 
 .126518 
 
 2.070824 
 
 .061095 
 
 8 
 
 21 
 
 Other manufacturing 
 
 .070349 
 
 1.559467 
 
 .045111 
 
 11 
 
 22 
 
 Mining 
 
 .045912 
 
 1.628320 
 
 .028196 
 
 17 
 
 23 
 
 Utilities 
 
 .022967 
 
 1.395421 
 
 .016459 
 
 21 
 
 24 
 
 Selected services 
 
 .046595 
 
 1.453534 
 
 .032056 
 
 14 
 
 25 
 
 Trade and transportation 
 
 .018108 
 
 1.332446 
 
 .013590 
 
 25 
 
 26 
 
 Unallocated services 
 
 .039303 
 
 1.379694 
 
 .028487 
 
 15 
 
 a/ Indicates production generated in California only due to one dollar change in 
 final demand in specified Arizona sectors . 
 
 hj Indicates production generated in both California and Arizona due to one 
 dollar change in final demand in specified Arizona sectors. 
 
 -40- 
 
delivery to final demand of $1,000 of products from the meat and poulti^ 
 processing sector in California (Sector C-12) requires 15,970 gallons of 
 water for the meat animals and products (Sector C-1) , 309 gallons for poul- 
 try and eggs (Sector C-2), 36 gallons for the dairy products (Sector C-3) , 
 and so forth, reading down column C-12. In total, 1,559,364 gallons of 
 water are required from both California and Arizona. Similarly, comparisons 
 can be made of the water intensiveness of different sectors within and be- 
 tween the states. 
 
 Table 12 shows a further summary of the various water coefficients and 
 multipliers discussed previously. Specifically, we present estimates of (1) 
 direct water coefficients (corresponding to Equations 12a and 12b); (2) direct 
 plus indirect water coefficients (corresponding to Equations 16, 17, 18, and 
 19); and (3) water multipliers (corresponding to Equations 21 and 22). 
 
 Water coefficients . — A comparison of direct water intake coefficients 
 
 C 3. 
 
 for California and Arizona sectors (F and F ) reveals that nine of the ten 
 Arizona agricultural production sectors are more water intensive (i.e., use 
 more water per unit of output) than their corresponding California sectors. 
 However, of the five agricultural processing sectors in Arizona, only two 
 are more water intensive than their corresponding California counterparts. 
 Out of the eleven manufacturing, mining, and service sectors in Arizona, 
 nine are less water intensive relative to their corresponding California 
 counterparts. These findings imply that, in general, the Arizona manufac- 
 turing, mining, and service sectors are more "efficient" water users than 
 their corresponding California sectors whereas the reverse is evident for 
 agricultural sectors.— Factors that may account for regional differences 
 In water use efficiency include: 
 
 1. Prices for the same products in comparable sectors in the two states 
 may differ markedly and, since output is expressed in dollar values, the 
 water-to-output (in dollars) ratios are directly affected. 
 
 Ij It should be emphasized that we are concerned here with relative rather 
 than absolute efficiency. Thus if a sector j produces more output per unit of 
 water intake than another sector k, then sector J is considered here to be 
 relatively more efficient in water use than sector k. 
 
 -42- 
 
TABLi: 12 
 
 Water Coefficients and Water Multipliers, California-Arizona, 1958 
 
 
 
 Direct water 
 
 
 Direct 
 
 plus Indirect 
 
 
 
 
 
 Direct water 
 
 Direct 
 
 plus Indirect 
 coefficient W 
 
 
 
 
 
 
 coeixiclent 
 
 
 water 
 
 coefficient 
 
 Water multiplier 
 
 
 
 coefficient 
 
 water 
 
 water multiplier 
 
 Sector 
 number 
 
 
 cc 
 
 V 
 
 
 v' 
 
 unweighted c/ 
 
 w'= 
 
 weigntea a/ 
 
 Sector 
 number 
 
 „a 
 F 
 
 ..aa 
 V 
 
 
 V* 
 
 unweighted c/ 
 
 
 C 
 
 1 
 
 .041801 
 
 3 
 
 763725 
 
 .065021 
 
 3.828746 
 
 91.595 
 
 8,883 
 
 A 
 
 1 
 
 .133143 
 
 3.213810 
 
 .021537 
 
 3.235347 
 
 24. 
 
 300 
 
 36,735 
 
 C 
 
 2 
 
 .004782 
 
 1 
 
 386341 
 
 .046646 
 
 1.432987 
 
 299.661 
 
 29,033 
 
 
 2 
 
 .002464 
 
 6.819656 
 
 .776313 
 
 7.595969 
 
 3,082. 
 
 780 
 
 5,437 
 
 C 
 
 3 
 
 .026803 
 
 4 
 
 211387 
 
 .070293 
 
 4.281680 
 
 159.746 
 
 27,984 
 
 
 ■5 
 J 
 
 .083311 
 
 6.064158 
 
 .125771 
 
 5.190929 
 
 74. 
 
 311 
 
 2,735 
 
 C 
 
 4 
 
 7.645343 
 
 7 
 
 952044 
 
 .008097 
 
 7.960141 
 
 1.041 
 
 4,131 
 
 A 
 
 4 
 
 20.542469 
 
 21.209582 
 
 .019430 
 
 21.229012 
 
 1. 
 
 033 
 
 25,381 
 
 Q 
 
 
 3.257761 
 
 3 
 
 497320 
 
 .001837 
 
 3.499157 
 
 1.074 
 
 104,520 
 
 A 
 
 5 
 
 4.089731 
 
 4 .427143 
 
 .003211 
 
 4.430354 
 
 1. 
 
 083 
 
 66,724 
 
 C 
 
 6 
 
 1.273657 
 
 1 
 
 387280 
 
 .000602 
 
 1.387882 
 
 1.090 
 
 52,002 
 
 A 
 
 6 
 
 2.089679 
 
 2.133146 
 
 .001008 
 
 2.134154 
 
 1. 
 
 021 
 
 15,682 
 
 c 
 
 7 
 
 2.021884 
 
 2 
 
 082282 
 
 .000311 
 
 2.082593 
 
 1.030 
 
 18,914 
 
 A 
 
 7 
 
 3.242353 
 
 3.316499 
 
 .001581 
 
 3.318080 
 
 1. 
 
 023 
 
 528 
 
 C 
 
 8 
 
 1.601713 
 
 1 
 
 650736 
 
 .000262 
 
 1.650998 
 
 1.031 
 
 23,644 
 
 A 
 
 8 
 
 3.634711 
 
 3 . 849893 
 
 • uu^^uD 
 
 
 1 
 
 050 
 
 3 , 745 
 
 c 
 
 9 
 
 14.886410 
 
 14 
 
 962764 
 
 .000398 
 
 14.963162 
 
 1.005 
 
 5,149 
 
 A 
 
 9 
 
 5.294717 
 
 15.341862 
 
 .001003 
 
 15.342865 
 
 1. 
 
 003 
 
 6,982 
 
 c 
 
 10 
 
 1.466330 
 
 1 
 
 807822 
 
 .004498 
 
 1.812320 
 
 1.236 
 
 18,959 
 
 A 
 
 10 
 
 2.088252 
 
 3.419714 
 
 .007457 
 
 3.427171 
 
 1.641 
 
 2,031 
 
 C 
 
 11 
 
 .002432 
 
 1 
 
 806043 
 
 .058345 
 
 1.864388 
 
 765.608 
 
 39,041 
 
 A 
 
 11 
 
 .005230 
 
 6.275708 
 
 .200054 
 
 6.476762 
 
 1,039 
 
 509 
 
 5,534 
 
 C 
 
 12 
 
 .012297 
 
 1 
 
 531531 
 
 .027833 
 
 1.559354 
 
 126.808 
 
 173,576 
 
 A 
 
 12 
 
 .003837 
 
 1.943736 
 
 .225234 
 
 2.168970 
 
 555 
 
 277 
 
 10,074 
 
 C 
 
 13 
 
 .020219 
 
 1 
 
 948301 
 
 .036040 
 
 1.984341 
 
 98.142 
 
 135,201 
 
 A 
 
 13 
 
 .003185 
 
 3.020581 
 
 .081742 
 
 3.102323 
 
 973 
 
 735 
 
 12,313 
 
 C 
 
 14 
 
 .010218 
 
 
 636589 
 
 .002784 
 
 .639373 
 
 62.573 
 
 101,548 
 
 A 
 
 14 
 
 .013939 
 
 .285073 
 
 .083732 
 
 .368805 
 
 26 
 
 458 
 
 142 
 
 c 
 
 15 
 
 .013980 
 
 
 .241658 
 
 .003668 
 
 .245325 
 
 17.549 
 
 37,714 
 
 A 
 
 15 
 
 .006442 
 
 .780940 
 
 .085734 
 
 .865574 
 
 134 
 
 535 
 
 3,992 
 
 C 
 
 16 
 
 .022189 
 
 
 .069446 
 
 .000466 
 
 .069912 
 
 3.150 
 
 4,401 
 
 A 
 
 15 
 
 .009832 
 
 .128215 
 
 .019188 
 
 .147403 
 
 14 
 
 992 
 
 347 
 
 C 
 
 17 
 
 .017255 
 
 
 .041149 
 
 .000049 
 
 .041198 
 
 2.387 
 
 5,472 
 
 A 
 
 17 
 
 .005410 
 
 .011887 
 
 .001037 
 
 .012924 
 
 2 
 
 016 
 
 2 
 
 C 
 
 18 
 
 .003266 
 
 
 .010545 
 
 .000032 
 
 .010577 
 
 3.239 
 
 3,235 
 
 A 
 
 18 
 
 .000950 
 
 .013210 
 
 .001650 
 
 .014870 
 
 15 
 
 653 
 
 100 
 
 C 
 
 19 
 
 .001735 
 
 
 .005035 
 
 .000012 
 
 .005047 
 
 2.908 
 
 1,087 
 
 A 
 
 19 
 
 .001390 
 
 .011909 
 
 .001446 
 
 .013355 
 
 9 
 
 609 
 
 94 
 
 C 
 
 20 
 
 .004936 
 
 
 .018818 
 
 .000047 
 
 .018865 
 
 3.822 
 
 573 
 
 A 
 
 20 
 
 .050821 
 
 .105481 
 
 .002184 
 
 .108655 
 
 1 
 
 787 
 
 1,049 
 
 c 
 
 21 
 
 .022725 
 
 
 .038518 
 
 .000102 
 
 .038620 
 
 1.599 
 
 12,573 
 
 A 
 
 21 
 
 .002822 
 
 .051571 
 
 .002299 
 
 .053870 
 
 22 
 
 634 
 
 672 
 
 c 
 
 22 
 
 .058085 
 
 
 .070329 
 
 .000043 
 
 .070372 
 
 1.212 
 
 821 
 
 A 
 
 22 
 
 .047898 
 
 .072143 
 
 .001951 
 
 .074104 
 
 1 
 
 547 
 
 1,691 
 
 c 
 
 23 
 
 .056169 
 
 
 .068609 
 
 .000012 
 
 .068621 
 
 1.222 
 
 7,955 
 
 A 
 
 23 
 
 .091391 
 
 .106687 
 
 .001052 
 
 .107739 
 
 1 
 
 179 
 
 1,166 
 
 c 
 
 24 
 
 .004308 
 
 
 .011476 
 
 .000033 
 
 .011509 
 
 2.671 
 
 3,434 
 
 A 
 
 24 
 
 .004154 
 
 .012492 
 
 .001345 
 
 .013837 
 
 3 
 
 332 
 
 239 
 
 c 
 
 25 
 
 .004308 
 
 
 .010102 
 
 .000029 
 
 .010131 
 
 2.351 
 
 8,344 
 
 A 
 
 25 
 
 .004154 
 
 .012510 
 
 .001196 
 
 .013806 
 
 3 
 
 324 
 
 693 
 
 c 
 
 26 
 
 .004308 
 
 
 .013878 
 
 .000097 
 
 .013975 
 
 3.245 
 
 12,079 
 
 A 
 
 26 
 
 .004154 
 
 .025804 
 
 .004966 
 
 .030770 
 
 7 
 
 408 
 
 1,945 
 
 a/ Million gallons per $1,000 output. 
 
 b/ Million gallons per $1,000 final demand. 
 
 c/ Ratio of direct plus Indirect water requirements to direct water requirements, 
 d/ Dollars per 10 percent change in final demand. 
 
2. The product mix within sectors may also differ markedly. A good exam- 
 ple would be dryland barley versus irrigated barley within the grain sector. 
 The water coefficient based on such a mixed product is related directly to the 
 relative proportion of irrigated acreage. 
 
 3. There is also the possibility of differences in production efficiency 
 in similar sectors located in different regions due to differences in factor 
 prices, soil productivity, and climate among other things. These differences 
 are reflected in yield levels; the higher the yield in a certain sector, other 
 things equal, the lower will be the water intake coefficient and vice versa. 
 
 Direct plus indirect wate r coefficien ts .—Nine out of ten Arizona agri- 
 cultural sectors have greater direct plus indirect water intake per $1,000 
 of final demand relative to their corresponding California sectors which is 
 consistent with the results obtained by consideration of only direct water 
 intake coefficients. However, four of the five agricultural processing 
 sectors in Arizona have greater direct plus indirect water intake coefficients 
 relative to their corresponding California sectors which is almost the reverse 
 of the direct coefficient comparison, and this emphasizes the importance of 
 considering both direct and Indirect economic relations in analyzing water-use 
 patterns. 
 
 In summary, based on the direct plus indirect water Intake coefficients, 
 of the 26 endogenous sectors defined in both the California and Arizona model, 
 23 of them in Arizona use more water per dollar of final demand than their 
 corresponding California counterparts. Recall, also, that 20 out of 26 sectors 
 in California show larger output multipliers than their Arizona counterparts 
 (Tables 9 and 10). 
 
 Water m ultiplie rs.— First, we consider the unweighted water multipliers (W) . 
 Six out of ten California agricultural sectors show greater unweighted water 
 multipliers than their respective Arizona counterparts. Only two of five 
 agricultural processing sectors (Canning, preserving, and freezing and 
 Miscellaneous agricultural processing) In California show a greater unweighted 
 multiplier than the corresponding Arizona sector. Two of the eleven manufac- 
 turing, mining, and service sectors show greater values of unweighted multi- 
 pliers than their corresponding Arizona sectors. In total, only ten out of 
 twenty-six endogenous sectors in California show larger values of the multi- 
 pliers than their corresponding Arizona counterparts. 
 
 -44- 
 
However, with the water multipliers weighted with a 10 percent change in 
 final demand, the results are reversed showing the effect of the relative 
 sizes of the two state economies.—^ For example, of the ten agricultural sec- 
 tors, seven in California show larger weighted water multipliers than their 
 corresponding Arizona sectors compared to only six when unweighted multipliers 
 are used as basis for comparison. All the five California agricultural pro- 
 cessing sectors have greater values of the weighted multipliers than their 
 corresponding Arizona sectors as compared to only two when unweighted multi- 
 pliers are used as the basis for comparison. Nine of the eleven manufacturing, 
 mining, and service sectors in California induce larger weighted multipliers 
 than their corresponding Arizona counterparts as compared to only two when 
 comparison is based on unweighted multipliers. In total, 21 out of the 26 
 endogenous sectors in California have greater values of the weighted multi- 
 pliers than their corresponding Arizona sectors as compared with only 10 when 
 the unweighted multipliers are used as the basis for comparison. 
 
 Value added per unit of water used . — Still another alternative measure 
 and comparison of sectors on a regional basis is value added per unit of 
 water used in each of the sectors . This measure has been used by some authors 
 to estimate the extent in which certain industries could absorb price increases 
 for supplemental supplies of water, assuming that these price increases could 
 not be passed on to the ultimate buyers of the industries' output. 
 
 The value added estimates also give some indication of the direct income- 
 generating effects of each of the sectors in an economy. To obtain these 
 magnitudes, each sector's value added figure [P^] is divided by the total 
 water used t^^j]- The resulting coefficients may be ranked by sectors to re- 
 veal the "efficiency" of water use patterns. That is, if a sector j generates 
 greater value added per unit of water used than another sector k, then sector 
 j is considered more efficient than sector k with respect to the water use 
 patterns. It should be emphasized that relative efficiency and not absolute 
 efficiency, is considered here. Therefore, if there is a need for water 
 reallocation and if the sole objective of a region or a group of regions was 
 maximum income generation per unit of a limited resource like water, then these 
 
 1/ See Equation (22) for procedures for deriving weighted multipliers (W) . 
 
 -45- 
 
value added ratios can be utilized with other measures to Indicate the direction 
 of intraregional and interregional sectoral reallocations. 
 
 Value added in dollars per million gallons of water intake are shown 
 and ranked for California and Arizona sectors in Table 13. A sector by 
 sector comparison of these magnitudes indicates the following: 
 
 1. Eight of the ten California agricultural sectors have greater value 
 added per million gallons of water intake than their corresponding Arizona 
 sectors . 
 
 2. Only two of the five agricultural processing sectors in California 
 have greater value added than their corresponding Arizona counterparts. 
 
 3. Only 6 of the 11 California manufacturing, mining, and service 
 sectors have larger value added figures than their corresponding Arizona 
 sectors . 
 
 4. For the California economy as a whole, 16 out of the 26 endogenous 
 sectors have larger value added figures per million gallons of water intake 
 than their corresponding Arizona sectors. 
 
 These results support the general concliision (noted in the comparison 
 of the other measures) that California sectors are in general more "efficient" 
 water users (require less water per dollar of output) than their Arizona 
 counterparts. Although these results are based on relative sector-to-sector 
 comparisons , the further measure of aggregate value added per million gallons 
 of water intake for California economy as a whole as compared to the comparable 
 measure for the Arizona economy reinforces the same general conclusion. 
 
 SUMMARY AND CONCLUSIONS 
 
 Considerably greater progress has been made In quantitatively measuring 
 economic interactions on state and national levels than between contiguous 
 states and regions using input-output or interindustry analysis. 
 
 For this study, an input-output model was formulated using comparable 
 input-output tables for California and Arizona which were fused together through 
 two gross import matrices. Estimates of transactions with and between states 
 were obtained from a variety of published and unpublished sources. While 
 the study region involves only California and Arizona, it was intended to be 
 
 -46- 
 
TABLE 13 
 
 Value Added Per Unit of Water Intake, California and Arizona Sectors, 1958 
 (dollars per million gallons of water intake) 
 
 
 
 
 
 
 
 California 
 
 
 
 California 
 
 Arizona 
 
 vs . Arizona 
 
 
 
 1 
 
 2 
 
 3 
 
 4 
 
 5 
 
 Sector 
 
 
 Value 
 
 a/ 
 
 Value 
 
 a/ 
 
 Rank-' 
 
 Relative 
 
 number 
 
 Sector title 
 
 added 
 
 Rank-' 
 
 added 
 
 ranking 
 
 1 
 
 Meat animals and products 
 
 2294.12 
 
 19 
 
 1787.44 
 
 18 
 
 C > A 
 
 2 
 
 Poultry and eggs 
 
 7933.29 
 
 16 
 
 74500.00 
 
 6 
 
 A > C 
 
 3 
 
 Farm dairy products 
 
 12198.24 
 
 13 
 
 5565.29 
 
 16 
 
 C > A 
 
 4 
 
 Food and feed grains 
 
 65.98 
 
 25 
 
 27.66 
 
 26 
 
 C > A 
 
 5 
 
 Cotton 
 
 210.35 
 
 24 
 
 179.30 
 
 24 
 
 C > A 
 
 6 
 
 Vegetables 
 
 544.23 
 
 21 
 
 387.09 
 
 20 
 
 C > A 
 
 7 
 
 Fruit (excluding citrus) and nuts 
 
 318.37 
 
 23 
 
 207.36 
 
 22 
 
 C > A 
 
 8 
 
 Citrus 
 
 493.53 
 
 22 
 
 201.52 
 
 23 
 
 C > A 
 
 9 
 
 Forage 
 
 49.40 
 
 26 
 
 55.08 
 
 25 
 
 A > C 
 
 10 
 
 Miscellaneous agriculture 
 
 550.50 
 
 20 
 
 364.46 
 
 21 
 
 C > A 
 
 11 
 
 Grain mill products 
 
 168376.87 
 
 2 
 
 51579.31 
 
 9 
 
 C > A 
 
 12 
 
 Meat and poultry processing 
 
 11320.90 
 
 14 
 
 944.44 
 
 19 
 
 C > A 
 
 13 
 
 Dairy products 
 
 6955.97 
 
 18 
 
 62095.23 
 
 7 
 
 A > C 
 
 14 
 
 Canning, preserving, freezing 
 
 14849.38 
 
 11 
 
 28896.55 
 
 10 
 
 A > C 
 
 15 
 
 Miscellaneous agricultural pro- 
 
 
 
 
 
 
 
 cessing 
 
 27067.72 
 
 7 
 
 79889 .23 
 
 5 
 
 A > C 
 
 16 
 
 Chemicals and fertilizers 
 
 17151.68 
 
 10 
 
 15582.24 
 
 12 
 
 C > A 
 
 17 
 
 Petroleum 
 
 17580.12 
 
 9 
 
 19529.41 
 
 11 
 
 A > C 
 
 18 
 
 Fabricated metals and machinery 
 
 123806.35 
 
 3 
 
 428744.68 
 
 1 
 
 A > C 
 
 19 
 
 Aircraft and parts 
 
 360306.36 
 
 1 
 
 339700.72 
 
 2 
 
 C > A 
 
 20 
 
 Primary metals 
 
 75394.73 
 
 4 
 
 5170.40 
 
 17 
 
 C > A 
 
 21 
 
 Other manufacturing 
 
 23889.49 
 
 8 
 
 159387.09 
 
 3 
 
 A > C 
 
 22 
 
 Mining 
 
 10655.92 
 
 15 
 
 9967.73 
 
 14 
 
 C > A 
 
 23 
 
 Utilities 
 
 7544.68 
 
 17 
 
 6622.19 
 
 15 
 
 C > A 
 
 24 
 
 Selected services 
 
 13718.33 
 
 12 
 
 14818.48 
 
 13 
 
 A > C 
 
 25 
 
 Trade and transportation 
 
 63714.77 
 
 6 
 
 58846.39 
 
 8 
 
 A > C 
 
 26 
 
 Unallocated 
 
 72159.02 
 
 5 
 
 84108.78 
 
 4 
 
 A > C 
 
 a/ Ranked in the order of decreasing magnitudes. 
 
a pilot study to indicate the problems encountered in connecting state economies 
 in an input-output framework where primary emphasis is given to agriculture. 
 The nature of the research conducted in this study, together with the statistical 
 information generated throughout the course of its implementation, is additive 
 in the sense that other interested researchers can improve and extend it to 
 accomplish a broader objective of analyzing joint water utilization among all 
 the eleven Western states. 
 
 Brief Summary of Empirical Results 
 
 1. Agricultural sectors in both California and Arizona are more dependent 
 on nonagricultural sectors than the other way around (i.e., agricultural sectors 
 purchase more inputs from nonagricultural sectors per dollar of final demand in 
 specific former sectors than the other way around) . 
 
 2. Most Arizona sectors have adverse balance of trade with respect to 
 their corresponding California sectors (i.e., they import more from California 
 than they export to California) . 
 
 3. Agricultural sectors, especially crop sectors, in both California and 
 Arizona are the most water Intensive and consequently least efficient water 
 users relative to other sectors. Agricultural sectors in both California and 
 Arizona have smaller ratios of value added per unit of water used than industry 
 sectors. Consequently, the ability of agricultural sectors to absorb price 
 increases in primary factors like water is less than in other sectors. 
 
 4. Arizona agricultural sectors (9 out of 10), agricultural processing 
 sectors (four out of five), and manufacturing, mining, and service sectors, are 
 more water intensive than their corresponding California counterparts. Thus 
 
 in general Arizona sectors (23 out of 26 endogenous sectors) are more water 
 intensive than their corresponding California sectors. These findings are 
 based on direct plus Indirect water intake coefficients and their correspond- 
 ing weighted water intake multipliers. As a corollary (based on value added 
 comparisons) Arizona sectors contribute less to the aggregate value added in 
 dollars per million gallons of water intake than the equivalent aggregate con- 
 tribution by the California sectors. Consequently, in general the ability of 
 the Arizona sector to absorb price increases in primary inputs like water is 
 less than for the California sectors. 
 
 -48- 
 
Some Limitations and Problems • -" ^ " • '- « 
 
 We now turn to the limitations and problems that must be recognized in the 
 interpretations of the results and implications derived from this study. . 
 
 1. Pacity of trade flow data • . - : v - • • 
 
 An interregional model such as the one employed in this study requires 
 ideally much interregional commodity flow data which are presently unavailable. 
 The severity of this problem is manifested by the estimation procedures adopted 
 for the California and Arizona import matrices. , 
 
 What is really needed to overcome the data problem? First of all, it is ' 
 necessary to have commodity flow data not only by state of origin and desti- 
 nation, but also by sector of origin and destination. Second, there is a need 
 for the transport cost data for each group of commodity between the areas of 
 origins and destinations. Third, there is a problem in estimating how much 
 of a certain commodity transported from one region to another is actually 
 utilized in the latter region and how much merely passes through to another 
 region. This problem is bound to persist for a long time but it may be re- 
 duced by an attempt to net out these trans-shipments from the estimates of 
 multiregional commodity flows and thus reduce the consequent double-counting. 
 This might be accomplished through surveys of each industry in each region 
 or, at least, those industries engaged in major shipments. 
 
 2. Stability of coefficients 
 
 The analyses conducted in this study are based on 1958 data and are now 
 about 10 years out of date. Although some studies have indicated that tech- 
 nical coefficients are relatively stable over a period of about five years, 
 the trade coefficients are probably relatively unstable (the more so the 
 smaller the regions in question). Thus, if there has been a significant change 
 in the bilateral trade relationships between California and Arizona from 1958 to 
 the present, the interdependence analysis based on 1958 data (and consequently 
 the policy implications derived from them) would not be applicable to the 
 existing situation. 
 
 Some authors have concluded that errors due to imperfect aggregation and 
 changing input-output coefficients are counterbalanced by the ability of input- 
 output technique in revealing interdependencies among economic units. However, 
 
 -49- 
 
these tests have so far not been perfomed on regional-interregional models. 
 Given that regional economic activities are much more dependent on imports (the 
 more so the smaller the region) than the national unit, there exists a greater 
 potential for input-output coefficients to change more abruptly as the region 
 develops thus increasing the margin for errors in predictive results. 
 
 3. Other 
 
 Other methodological limitations include the use of noncapacity model, 
 the assumption of proportional production functions in the estimation of 
 water coefficients and the assumption of uniform horizontal growth for all 
 sectors in the estimation of weighted water intake multipliers. 
 
 -50- 
 
APPENDIX 
 
APPENDIX A 
 
 General Estimati on Procedures 
 
 General estimation procedures and data sources for construction of the 
 California transaction table are discussed in this section. While similar 
 procedures were followed for the Arizona model, specific details are avail- 
 able upon request to Dr. William E. Martin, Department of Agricultural Eco- 
 nomics, University of Arizona. 
 
 Output for the Produ ction Agricultur al Sectors 
 
 Output flows for the ten agricultural production sectors were developed 
 largely from the U.S. Department of Agriculture, California Department of 
 Agriculture, private, and industry crop and livestock statistics. (See 
 Tables A-1 through A-10.) 
 
 Inputs for Producti on Agricultural S ectors 
 
 Purchased inputs by agricultural sectors from nonagricultural sectors 
 were derived from six main sources-^ [46], [48], [51], [53], [60], and [81]. 
 The procedure for estimating inputs for agricultural production sectors 
 involved the following six steps: 
 
 1. Expenditure on individual input items were distributed to 17 
 agricultural sectors for the United States [53]. 
 
 2. California's proportion of that expenditure was derived by 
 scaling each sector's input down by California's percent of 
 acres, numbers, physical output, or value of output relative 
 to the corresponding total U.S. figure for each sector. The 
 particular measure used varied depending on the expenditure 
 in question. 
 
 3. Results derived from number 2 above by expenditure class were 
 compared with the control totals on the farm cash expenditures. 
 Unless the control totals were grossly inconsistent with the 
 more detailed information from [46], the derived distribution 
 was adjusted proportionately to meet these totals. In most 
 cases, the two estimates matched closely. 
 
 1/ Numbers in brackets refer to sources listed in the Literature Cited 
 given at the end of Appendix A. 
 
 -52- 
 
TA15LE A-1 
 
 Available Supply and Distribution of Meat Animals and Products (UC 1) , 1958^' 
 
 
 Cattle and 
 
 
 Sheep and 
 
 Wool and 
 
 
 
 calves 
 
 Hogs 
 
 lambs 
 
 mohair 
 
 Total 
 
 
 thousand dollars 
 
 Domestic supply 
 
 420,097 
 
 19,426 
 
 29,593 
 
 8,970 
 
 478,086 
 
 Gross domestic output 
 
 420,097 
 
 19,426 
 
 29,593 
 
 6,796 
 
 475,912 
 
 Inventory depletion 
 
 
 
 
 2,174 
 
 2,174 
 
 Distribution 
 
 420,097 
 
 19,426 
 
 29,593 
 
 8,970 
 
 478,086 
 
 Final demand sectors 
 
 
 
 
 
 
 UC 27, Scrap and by-products 
 
 212 
 
 
 
 
 212 
 
 UC 28, Net exports 
 
 -156,528 
 
 -68,401 
 
 •-14,749 
 
 8,866 
 
 -230,812 
 
 UC 33, Inventory addition 
 
 20,300 
 
 1,373 
 
 170 
 
 
 21,843 
 
 UC 36, Farm households 
 
 1,902 
 
 1,140 
 
 278 
 
 
 3,320 
 
 Intermediate sectors 
 
 
 
 
 
 
 UC 12, Meat and poultry processing 
 
 554,211 
 
 85,314 
 
 43,894 
 
 
 683,419 
 
 UC 21, Other manufacturing 
 
 
 
 
 104 
 
 104 
 
 a/ Net imports are shown as negative net exports. Total inputs are distributed rather than domestically 
 produced inputs only. (See discussion of Sector UC 28.) 
 
 Source: [7], [30], [31], [45], [54], [66], [67], [72]. 
 
TABLE A-2 
 
 Available Supply and Distribution of Poultry and Eggs (UC 2), 1958^' 
 
 
 Farm and 
 
 Farm and 
 
 
 Turkeys 
 
 Other 
 
 Hatcheries 
 
 
 
 nonf arm 
 
 nonf arm 
 
 
 and turkey 
 
 poultry 
 
 (chicks and 
 
 
 
 eggs 
 
 chickens 
 
 Broilers 
 
 eggs 
 
 and eggs 
 
 poults) 
 
 Total 
 
 
 thousand dollars 
 
 Domestic supply 
 
 165,796 
 
 12,185 
 
 33,153 
 
 64,374 
 
 3,662 
 
 46,898 
 
 326,068 
 
 Liross uonicStxc oucpUL 
 
 165,796 
 
 12,185 
 
 33,153 
 
 64,341 
 
 3,662 
 
 46,898 
 
 326,035 
 
 xn V en to ry aep xe t xon 
 
 — 
 
 — 
 
 — 
 
 33 
 
 — 
 
 — 
 
 33 
 
 i-'Xo L X xDuL xon 
 
 165,796 
 
 12,185 
 
 33,153 
 
 64,374 
 
 3,662 
 
 46,898 
 
 326,068 
 
 Final demand sectors 
 
 
 
 
 uL» zo, wet exports 
 
 - 2,146 
 
 165 
 
 280 
 
 873 
 
 
 
 828^' 
 
 UC 31, Local government 
 
 
 
 
 
 
 
 
 UL jj. Inventory addition 
 
 
 1,276 
 
 
 
 
 
 1,276 
 
 UC 36, Farm households 
 
 10,482 
 
 1,458 
 
 332 
 
 102 
 
 366 
 
 
 12,740 
 
 UC 37, Other households 
 
 151,350 
 
 5,828 
 
 10,227 
 
 18,613 
 
 3,107 
 
 
 189,125 
 
 Intermediate sectors 
 
 
 
 
 UC 2, Poultry, eggs and 
 
 
 
 
 
 
 
 
 hatching 
 
 4,764 
 
 
 
 6,327 
 
 
 46,898 
 
 57,989 
 
 UC 12, Meat and poultry 
 
 
 
 
 
 
 
 processing 
 
 105 
 
 3,354 
 
 21,979 
 
 37,459 
 
 189 
 
 
 63,086 
 
 UC 13, Dairy products 
 
 33 
 
 
 
 
 
 
 33 
 
 UC 14, Canning, preserv- 
 
 
 
 
 
 
 
 ing, freezing 
 
 6 
 
 
 
 
 
 
 6 
 
 UC 15, Miscellaneous agri- 
 
 
 
 
 
 
 
 
 cultural processing 
 
 1,202 
 
 104 
 
 335 
 
 1,000 
 
 
 
 2,641 
 
 a/ Net imports are shown as negative net exports. Total inputs are distributed rather than domestically pro- 
 duced inputs only. (See discussion of Sector UC 28.) 
 
 b/ Export is military consumption. 
 
 Source: [13], [30], [31], [40], [64], [65], [76]. 
 
TABLE A- 3 
 
 Available Supply and Distribution of Farm Dairy Products (UC 3), 1958^' 
 
 
 Milk 
 
 Cream 
 
 Meat 
 
 Total 
 
 thousand dollars 
 
 Domestic supply 
 
 338,938 
 
 502 
 
 56,149 
 
 395,589 
 
 Gross domestic output 
 
 338,938 
 
 502 
 
 56,149 
 
 395,589 
 
 Inventory depletion 
 
 
 
 
 
 Distribution 
 
 338,938 
 
 502 
 
 56,149 
 
 395,589 
 
 Final demand sectors 
 
 
 
 
 
 UC 27, Scrap and by-products 
 
 
 
 51,465 
 
 51,465 
 
 UC 33, Inventory addition 
 
 
 
 2,928 
 
 2,928 
 
 UC 36 , Farm households 
 
 9,208 
 
 
 1,756 
 
 10,964 
 
 Intermediate sectors 
 
 
 
 
 
 UC 3, Farm dairy products 
 
 10,401 
 
 
 
 10,401 
 
 UC 13, Dairy products 
 
 319,329 
 
 502 
 
 
 319,831 
 
 &I Net imports do not occur. Therefore distribution is of domestically 
 produced inputs only. (See discussion of Sector UC 28.) 
 
 Source: [7], [41], [43], [47], [54]. 
 
 -55- 
 
TABLE A-4 , 
 
 Available Supply and Distribution of Food and Feed Grains (UC 4), 1958^' 
 
 
 
 
 
 
 Silage and 
 
 
 
 
 
 
 
 
 
 
 forage (corn 
 
 
 
 
 
 
 Corn 
 
 Barley 
 
 Oats 
 
 Sorghum 
 
 and sorghum) 
 
 Wheat 
 
 Rye 
 
 Rice 
 
 Total 
 
 
 thousand dollars 
 
 Domestic supply 
 
 20,030 
 
 87,204 
 
 4,334 
 
 17,784 
 
 8,715 
 
 15,578 
 
 157 
 
 43,739 
 
 197,541 
 
 Gross domestic outnut 
 
 17,495 
 
 70,752 
 
 4,334 
 
 17,784 
 
 8,715 
 
 15,578 
 
 157 
 
 42,215 
 
 177,030 
 
 l.LlVcllL.tJL y Ucp Xc LXOll 
 
 2,535 
 
 16,452 
 
 
 
 
 
 
 1,524 
 
 20,511 
 
 Distribution 
 
 20,030 
 
 87,204 
 
 4,334 
 
 17,784 
 
 8,715 
 
 15,578 
 
 157 
 
 43,739 
 
 197,541 
 
 Final demand sectors 
 
 
 
 
 
 
 
 
 UC 28, Net exDorts 
 
 - 2,789 
 
 16,674 
 
 -1,186 
 
 -59,264 
 
 
 -24,840 
 
 - 79 
 
 
 - 71,484 
 
 UC 33, Inventory addition 
 
 
 
 91 
 
 23,954 
 
 
 1,656 
 
 
 
 25,701 
 
 Intermediate sectors 
 
 
 
 
 
 
 
 
 
 UC 1, Meat animals 
 
 203 
 
 22,291 
 
 
 12,856 
 
 4,881 
 
 
 
 
 40,231 
 
 UC 2, Poultry and eggs 
 
 
 10,878 
 
 
 26,568 
 
 
 
 
 
 37,446 
 
 UC 3, Farm dairy products 
 
 
 17,833 
 
 
 4,457 
 
 3,834 
 
 368 
 
 
 
 26,492 
 
 UC 4, Food and feed grains 
 
 101 
 
 3,790 
 
 1,004 
 
 43 
 
 
 123 
 
 39 
 
 1,905 
 
 7,005 
 
 UC 10, Miscellaneous agri- 
 
 
 
 
 
 
 
 
 
 culture 
 
 
 223 
 
 456 
 
 
 
 
 
 
 679 
 
 UC 11, Grain mill products 
 
 18,712 
 
 12,483 
 
 3,969 
 
 9,170 
 
 
 38,271 
 
 
 41,834 
 
 124,439 
 
 UC 15, Miscellaneous agri- 
 
 
 
 
 
 
 
 
 cultural processing 
 
 3,803 
 
 3,032 
 
 
 
 
 
 197 
 
 
 7,032 
 
 a/ Net imports are shown as negative net exports. Total Inputs are distributed rather then domestically produced Inputs 
 only. (See discussion of Sector UC 28.) 
 
 Source: [9], [25], [28], [30], [41], [70]. 
 
TABLE A-5 
 
 Available Supply and Distribution of Cotton and Cottonseed (UC 5), 1958^' 
 
 
 Cotton 
 
 Cottonseed 
 
 Total 
 
 thousand dollars 
 
 Domestic supply 
 
 284,912 
 
 26,908 
 
 311,820 
 
 Gross domestic output 
 
 273,161 
 
 26,908 
 
 300,069 
 
 Inventory depletion 
 
 11,751 
 
 
 11,751 
 
 Distribution 
 
 284,912 
 
 26,908 
 
 311,820 
 
 Final demand sectors 
 
 
 
 
 UC 27, Scrap and by-products 
 
 
 26,211 
 
 26,211 
 
 UC 28, Net exports 
 
 284,242 
 
 
 284,242 
 
 Intermediate sectors 
 
 
 
 
 UC 5, Cotton 
 
 
 697 
 
 697 
 
 UC 21, Other manufacturing 
 
 670 
 
 
 670 
 
 a/ Net imports do not occur. Therefore distribution is of domestically pro- 
 duced inputs only. (See discussion of Sector UC 28.) 
 
 Source: [30], [41], [87]. 
 
 -57- 
 
TABLE A-6 
 
 Available Supply and Distribution of Vegetables (UC 6) , 1958^' 
 
 
 
 
 Potatoes 
 
 
 
 
 Miscellaneous 
 
 
 (including) 
 
 Dry beans 
 
 
 
 vegetables 
 
 Melons 
 
 sweet) 
 
 and peas 
 
 Total 
 
 
 thousand dollars 
 
 Domestic supply 
 
 416,393 
 
 35,570 
 
 61,771 
 
 34,438 
 
 548,172 
 
 Gross domestic output 
 
 416,371 
 
 35,570 
 
 61,771 
 
 34,438 
 
 548,150 
 
 Inventory depletion 
 
 22 
 
 
 
 
 22 
 
 Distribution 
 
 416,393 
 
 35,570 
 
 61,771 
 
 34,438 
 
 548,172 
 
 Final demand sectors 
 
 
 
 
 
 
 UC 27, Scrap and by-products 
 
 
 
 2,475 
 
 
 2,475 
 
 UC 28, Net exports 
 
 90,443 
 
 18,322 
 
 17,671 
 
 
 126,436 
 
 UC 32, Federal Government 
 
 1,325 
 
 70 
 
 1,361 
 
 
 2,756 
 
 UC 33, Inventory addition 
 
 
 
 91 
 
 
 91 
 
 UC 36, Farm households 
 
 12,127 
 
 1,036 
 
 63 
 
 
 13,226 
 
 UC 37, Other households 
 
 182,222 
 
 16,142 
 
 31,358 
 
 
 229,722 
 
 Intermediate sectors 
 
 
 
 
 
 
 UC 6, Vegetables 
 
 
 
 577 
 
 1,206 
 
 1,783 
 
 UC 14, Vegetable and fruit processing 
 
 130,276 
 
 
 8,175 
 
 33,232 
 
 171,683 
 
 aj Net imports are shown as negative net exports. Total inputs are distributed rather than domestically 
 produced inputs only. (See discussion of Sector UC 28.) 
 
 Source: [9], [11], [12], [30], [55], [56], [57], [58], [65], [73], [77], [78], [81]. 
 
TABLE A- 7 
 
 Available Surrlv and Distribution of Fruits and Nuts (UC 7), 195a^' 
 
 
 Apples 
 
 Apricots 
 
 Clierrics 
 
 Nectar- 
 
 Peaches 
 
 Pears 
 
 Persim- 
 
 Plums 
 
 Prunes 
 
 Pomegran- 
 ates 
 
 thousand 
 
 Total 
 Deciduous 
 dollars 
 
 Avo- 
 cados 
 
 Uates 
 
 Figs 
 
 Olives 
 
 Total 
 semi- 
 tr^lca^l__ 
 
 Crapes 
 
 Tree 
 __nuts 
 
 Bush- 
 berries 
 
 Total fruit 
 and nuts 
 
 
 (sweet) 
 
 ines 
 
 
 
 
 
 
 Domeatic supply 
 
 Gross domestic output 
 Inventory depletion 
 
 9,895 
 9.5U8 
 387 
 
 14,130 
 14.130 
 
 5.670 
 5,6 70 
 
 4,619 
 4,619 
 
 47.240 
 4 7.24i) 
 
 29.712 
 29,393 
 319 
 
 205 
 205 
 
 9.943 
 9,943 
 
 37,440 
 37,440 
 
 197 
 197 
 
 159,051 
 158,345 
 706 
 
 9.028 
 9,028 
 
 2,136 
 2.136 
 
 5,868 
 5,868 
 
 6,666 
 6,666 
 
 23.698 
 23,698 
 
 173.369 
 173. 369 
 
 46,661 
 46,661 
 
 3,528 
 3.528 
 
 406, 307 
 405,601 
 706 
 
 Distribution 
 
 9.895 
 
 14,130 
 
 5 , 6 70 
 
 4,619 
 
 47.240 
 
 29, 712 
 
 205 
 
 9,943 
 
 37,440 
 
 197 
 
 159,051 
 
 9.028 
 
 2,136 
 
 5,868 
 
 6,666 
 
 23.698 
 
 173.369 
 
 46.661 
 
 3.528 
 
 406,307 
 
 Final demand sectors 
 UC 28, Net exports 
 UC 36, Farm households 
 UC 37, Other households 
 
 - 6,3A7 
 88 
 
 11,090 
 
 246 
 2 39 
 615 
 
 1,763 
 129 
 1,284 
 
 2,860 
 22 
 1,637 
 
 4.021 
 201 
 3,746 
 
 5,130 
 84 
 2.856 
 
 70 
 3 
 
 132 
 
 7,966 
 44 
 1,843 
 
 78 
 
 137 
 1 
 59 
 
 15,848 
 889 
 23,262 
 
 4,777 
 58 
 4,193 
 
 2 
 
 116 
 14 
 300 
 
 42 
 113 
 
 4,893 
 116 
 
 4,606 
 
 34.914 
 120 
 5,551 
 
 222 
 
 792 
 6 
 
 305 
 
 56,447 
 1,353 
 33.724 
 
 Intermediate sectors 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 UC lA, Canning, preserv- 
 ing, f reezlnK 
 
 5,064 
 
 13.030 
 
 2,492 
 
 100 
 
 39 ,2 72 
 
 21,642 
 
 
 90 
 
 37,362 
 
 
 119.052 
 
 
 2,134 
 
 5.438 
 
 6.511 
 
 14,083 
 
 132.784 
 
 
 2,425 
 
 268,344 
 
 UC 15, Miscellaneous food 
 
 processing 
 UC 16, Chemicals and 
 
 fertilizers 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 46.259 
 180 
 
 
 46,259 
 180 
 
 a/ Set imports are shown as negative exports. Total innuts are distributed rather than domestically produced inputs only, (See discussion of Sector UC 
 Source: (5], 18], 110), 112], [55], 156], [57], [58]. 
 
TABLE A-8 
 
 Available Supply and Distribution of Citrus (UC 8) , 1958^' 
 
 
 Oranges , 
 tangerines , 
 etc. 
 
 Grapefruit 
 
 Lemons 
 
 Limes 
 
 Citrus 
 total 
 
 thousand dollars 
 
 Domestic supply 
 
 116,044 
 
 6,431 
 
 36,209 
 
 141 
 
 158,825 
 
 Gross domestic output 
 
 116,044 
 
 6,431 
 
 36,209 
 
 141 
 
 158,825 
 
 Inventory depletion 
 
 
 
 
 
 
 Distribution 
 
 116,044 
 
 6,431 
 
 36,209 
 
 141 
 
 158,825 
 
 Final demand sectors 
 
 
 
 
 
 
 UC 28, Net exports 
 
 76,825 
 
 509 
 
 27,194 
 
 - 59 
 
 104,469 
 
 UC 36, Farm households 
 
 1,052 
 
 67 
 
 44 
 
 
 1,163 
 
 UC 37, Other households 
 
 29,298 
 
 5,448 
 
 2,631 
 
 200 
 
 37,577 
 
 Intermediate sectors 
 
 
 
 
 
 
 UC 14, Canning, preserving, 
 
 
 
 
 
 
 freezing 
 
 8,869 
 
 407 
 
 6,340 
 
 
 15,616 
 
 a/ Net imports are shown as negative net exports. Total inputs are distributed rather than domestically 
 produced inputs only. (See discussion of Sector UC 28.) 
 
 Source: [3], [10], [12], [56], [58]. 
 
TABLE A-9 
 
 Available Supply and Distribution of Forage (UC 9), 1958^' 
 
 
 Hay 
 
 Pasture 
 
 Total 
 
 thousand dollars 
 
 Domestic supply 
 
 164,752 
 
 41,816 
 
 206,568 
 
 Gross domestic output 
 
 164,752 
 
 41,816 
 
 206,568 
 
 Inventory depletion 
 
 
 
 
 Distribution 
 
 164,752 
 
 41,816 
 
 206,568 
 
 Final demand sectors 
 
 
 
 
 UC 28, Net exports 
 
 - 3,596 
 
 
 - 3,596 
 
 UC 33, Inventory addition 
 
 3,441 
 
 
 3,441 
 
 Intermediate sectors 
 
 
 
 
 UC 1, Meat animals 
 
 73,706 
 
 26,744 
 
 100,450 
 
 UC 3, Farm dairy products 
 
 80,687 
 
 14,414 
 
 95,101 
 
 UC 10, Miscellaneous agriculture 
 
 5,356 
 
 658 
 
 6,014 
 
 UC 11, Grain mill products 
 
 5,158 
 
 
 5,158 
 
 a./ Net imports are shown as negative net exports. Total inputs are dis- 
 tributed rather than domestically produced inputs only. (See discussion 
 of Sector UC 28.) 
 
 Source: [9], [16], [17], [26], [32], [37], [41], [59], [69], [79], [81], 
 [82], [89], [92]. 
 
 -61- 
 
TABLE A-10 
 
 Available Supply and Distribution of Miscellaneous Agriculture (UC 10), 1958^' 
 
 
 
 Vegetable 
 
 
 
 
 
 
 
 
 Honey 
 
 
 
 Legumes , 
 
 seed. 
 
 
 
 
 Miscel- 
 
 Horses 
 
 Agricul- 
 
 
 and 
 
 Total 
 
 
 grass 
 
 greenhouse , 
 
 Forest 
 
 Sugar 
 
 Oil 
 
 laneous 
 
 and 
 
 tural 
 
 
 bees- 
 
 miscellaneous 
 
 
 seed 
 
 nursery 
 
 products 
 
 beets 
 
 crops 
 
 crops 
 
 mules 
 
 services 
 
 Fishing 
 
 wax 
 
 agriculture 
 
 
 thousand dollars 
 
 Domestic supply 
 
 26,126 
 
 92 , 107 
 
 4 , 489 
 
 43 , 307 
 
 12 , 806 
 
 6 ,619 
 
 8,083 
 
 89,381 
 
 56 ,742 
 
 6,157 
 
 345,817 
 
 ULUao UUU1<=E> I. XI. UULpUk 
 
 26 ,126 
 
 92 ,107 
 
 4 ,489 
 
 41,702 
 
 10,905 
 
 6 ,619 
 
 8,083 
 
 89,381 
 
 56 , 742 
 
 6,157 
 
 342,311 
 
 
 
 
 
 1,605 
 
 1,901 
 
 
 
 
 
 
 3,506 
 
 UIB u n OU L lOU 
 
 26,126 
 
 92,107 
 
 4,489 
 
 43,307 
 
 12,806 
 
 6,519 
 
 8,083 
 
 89,381 
 
 56,742 
 
 6,157 
 
 345,817 
 
 Final demand sectors 
 
 
 
 
 
 
 
 
 
 
 
 
 , net exports 
 
 20,984 
 
 21,310 
 
 
 
 2,090 
 
 3,278 
 
 
 
 
 2,443 
 
 50,105 
 
 UC 33, Inventory addition 
 
 250 
 
 
 
 
 
 470 
 
 
 
 
 801 
 
 1,521 
 
 UC 37, Other households 
 
 
 49,144 
 
 785 
 
 
 
 
 4,800 
 
 
 
 1,764 
 
 56,493 
 
 Intermediate sectors 
 
 
 
 
 
 
 
 
 
 
 UC 1, Meat animals 
 
 
 
 
 
 
 
 2,000 
 
 
 
 
 2,000 
 
 UC 2, Poultry 
 
 
 
 
 
 
 
 
 
 
 
 
 UC 3, Farm dairy products 
 
 
 
 
 
 
 
 800 
 
 2,110 
 
 
 
 2,910 
 
 UC 4, Food and feed grains 
 
 193 
 
 
 
 
 
 
 33 
 
 7,241 
 
 
 
 7,467 
 
 UC 5, Cotton 
 
 
 
 
 
 
 
 
 37,754 
 
 
 
 37,754 
 
 UC 6, Vegetables 
 
 
 13,361 
 
 
 
 
 
 
 17,919 
 
 
 
 31,280 
 
 UC 7, Fruit and nuts 
 
 
 3,619 
 
 
 
 
 
 
 8,078 
 
 
 
 11,697 
 
 UC 8, Citrus 
 
 
 1,752 
 
 
 
 
 
 
 2,136 
 
 
 
 3,888 
 
 UC 9, Forage 
 
 4,317 
 
 
 
 
 
 
 400 
 
 3,504 
 
 
 
 8,221 
 
 UC 10, Miscellaneous agriculture 
 
 382 
 
 1,139 
 
 
 
 195 
 
 370 
 
 
 10,639 
 
 
 
 12,725 
 
 UC 12, Heat and poultry processing 
 
 
 
 
 
 
 
 50 
 
 
 
 
 50 
 
 UC 14, Canning, preserving. 
 
 
 
 
 
 
 
 
 
 
 
 
 freezing 
 
 
 
 
 
 
 26 
 
 
 
 56,742 
 
 
 56,768 
 
 UC 15, Miscellaneous agricultural 
 
 
 
 
 
 
 
 
 
 
 
 
 processing 
 
 
 1,782 
 
 
 43,307 
 
 
 2,447 
 
 
 
 
 716 
 
 48,252 
 
 UC 16, Chemicals and fertilizer 
 
 
 
 
 
 10,521 
 
 
 
 
 
 433 
 
 10,954 
 
 UC 21, Other manufacturing 
 
 
 
 3,704 
 
 
 
 28 
 
 
 
 
 
 3,732 
 
 a/ Net Imports do not occur. Therefore distribution is of domestically produced Inputs only. (See discussion of Sector UC 28.) 
 
 Source: [4], [7], [9], [30], [31], [33], [41], [42], [47], [50], [53], [65], [71], [74], [81], [88], [90]. 
 
4. Each input was converted to producers' value — using margins 
 from [48] and unpublished sources. 
 
 5. Each sector's inputs were adjusted for differences in definition 
 between the California and U.S. Department of Agriculture models. 
 
 6. The 17 U.S. Department of Agriculture sectors were then aggregated 
 to the 10 California sectors. 
 
 Industry to Industry Flows 
 
 Tables A-11, A-12, and A-13 present supply and distribution of the re- 
 maining 16 endogenous sectors. The estimation of transactions from sectors 
 11 through 26 relied heavily upon the 1958 Office of Business Economics (OBE) , 
 U.S. Department of Commerce, Input-Output Table for the United States. 
 Additional information was available for disaggregating the Food and Kindred 
 Product Sector into seven subsectors. The input-output flows for the nonagri- 
 cultural sectors were derived, in most cases, using technical coefficients from 
 the modified 1958 OBE U.S. table (90 sectors) weighted by 1958 California sec- 
 tor outputs. Independent estimates of the value of California output (GDO) in 
 1958 (as a 90 order diagonal matrix) were premultiplied by the technical coeffic- 
 ients matrix (90 x 90) to obtain estimates of California transaction for each 
 of the 90 sectors. The resulting 90 order table was aggregated to correspond 
 to sectors in the California model. This procedure assumes uniform industry 
 technical coefficients throughout the United States. The validity or resultant 
 bias from such an assumption is still a question subject to continued debate 
 pending more research and better methods of collecting regional data. 
 
 Gross Import Matrices for Arizona and California Economies 
 
 Estimation of gross import matrices for Arizona and California constituted 
 a difficult and challenging problem. The approach followed was to generate and 
 utilize any and all available data, in an attempt to trace the "actual" gross 
 trade flows between California and Arizona. This included a mail questionnaire 
 to marketing and trade organizations, interviews with commodity and other know- 
 ledgeable persons, as well as the usual search of published and unpublished 
 data from state, federal, and private agencies. Since commodity flow data, where 
 available, accounted for only portions of sectors, it was often necessary to 
 construct ratios to expand or "blow-up" the sample to represent the complete 
 sectoral transfer. 
 
 -63- 
 
TABLE A-11 
 
 Available Supply and Distribution of the Agricultural Processing Sectors, 1958^' 
 
 
 UC 11 
 
 UC 12 
 
 UC 13 
 
 UC 14 
 
 UC 15 
 
 thousand dollars 
 
 Domestic supply 
 
 440,725 
 
 1,231,625 
 
 769,477 
 
 1,623,105 
 
 1,869,688 
 
 Gross domestic output 
 
 440,725 
 
 1,231,625 
 
 769,477 
 
 1,623,105 
 
 1,869,688 
 
 Inventory depletion 
 
 — 
 
 — 
 
 — 
 
 — 
 
 — 
 
 Distribution 
 
 — 
 
 — 
 
 — 
 
 — 
 
 — 
 
 Final demand sectors 
 
 
 
 
 
 
 UC 27, Scrap and by-products 
 
 2,583 
 
 15,488 
 
 — 
 
 — 
 
 8,329 
 
 UC 28, Net exports 
 
 -328,938 
 
 - 146,261 
 
 - 11,692 
 
 1,094,031 
 
 - 520,239 
 
 UC ju. New construction 
 
 — 
 
 2,037 
 
 — 
 
 — 
 
 — 
 
 UC 31 , Local government 
 
 3,387 
 
 9,436 
 
 5,896 
 
 12,436 
 
 13,568 
 
 UC 33, Inventory addition 
 
 1,760 
 
 4,904 
 
 3,064 
 
 6,462 
 
 7,051 
 
 UC 37, Other households 
 
 356,263 
 
 1,213,916 
 
 682,724 
 
 475,325 
 
 1,935,344 
 
 Intermediate sectors 
 
 
 
 
 
 UC 1, Meat animals and products 
 
 62,295 
 
 — 
 
 — 
 
 — 
 
 — 
 
 UC 2, Poultry and eggs 
 
 154,570 
 
 — 
 
 — 
 
 — 
 
 — 
 
 UC 3, Farm dairy products 
 
 56,919 
 
 — 
 
 — 
 
 — 
 
 — 
 
 UC 10, Miscellaneous agriculture 
 
 670 
 
 
 
 
 
 UC 11, Grain mill products 
 
 8,430 
 
 879 
 
 1,460 
 
 — 
 
 29,476 
 
 ui/ iz. Meat and poultry processing 
 
 
 51 ,860 
 
 3,282 
 
 
 
 UC 13, Dairy products 
 
 532 
 
 
 62,758 
 
 
 62,474 
 
 
 10,992 
 
 11,683 
 
 10,090 
 
 25,403 
 
 96,058 
 
 UC 15, Miscellaneous agricultural processing 
 
 100,651 
 
 19,822 
 
 8,082 
 
 6,811 
 
 170,000 
 
 UC 16, Chemicals and fertilizers 
 
 4,029 
 
 3,445 
 
 1,003 
 
 516 
 
 51,634 
 
 UC 17, Petroleum 
 
 
 
 
 
 1,112 
 
 UC 18, Fabricated metals and machinery 
 
 
 
 
 
 49 
 
 UC 20, Primary metals 
 
 
 
 
 
 243 
 
 UC 21, Other manufacturing 
 
 21 
 
 2,106 
 
 128 
 
 139 
 
 2,079 
 
 UC 22, Mining 
 
 
 
 
 
 2 
 
 UC 24, Selected services 
 
 
 177 
 
 108 
 
 77 
 
 181 
 
 UC 25, Trade and transportation 
 
 341 
 
 2,584 
 
 1,590 
 
 1,164 
 
 1,534 
 
 UC 26, Unallocated services 
 
 220 
 
 39,549 
 
 984 
 
 741 
 
 10,793 
 
 a/ Net imports are shown as negative net exports. Total inputs are distributed rather than domestically produced 
 inputs only. (See discussion of Sector UC 28.) 
 
 Source: [6], [28], [30], [31], [45], [52], [62], [75], [83], [85]. 
 
TABLE A-12 
 
 Available Supply and Distribution of Manufacturing and Mining Sectors, 1958 
 
 
 UC 16^^ 
 
 UC 17 
 
 UC 18^^ 
 
 UC 19 
 
 UC 20*-' 
 
 UC 21-^ 
 
 UC 22 
 
 thousand dollars 
 
 Domestic supply 
 
 1,437,285 
 
 3,183,127 
 
 5,076,264 
 
 3,575,553 
 
 1,227,157 
 
 5,038,674 
 
 397,863 
 
 Gross domestic output 
 
 1,437,285 
 
 3,156,417 
 
 5,003,122 
 
 3,569,019 
 
 1,222,035 
 
 5,037,412 
 
 395,022 
 
 Inventory depletion 
 
 
 26,712 
 
 73,142 
 
 6,534 
 
 5,122 
 
 1,262 
 
 2,841 
 
 Distribution of output 
 
 1,437,285 
 
 3,183,127 
 
 5,076,264 
 
 3,575,553 
 
 1,227,157 
 
 5,038.674 
 
 397,863 
 
 Final demand sectors 
 
 
 
 
 
 
 
 UC 27, Scrap and by-products 
 
 23,807 
 
 3,140 
 
 71,027 
 
 39,386 
 
 34,552 
 
 35,649 
 
 — 
 
 UC 28, Net exports 
 
 - 567,200 
 
 393,542 
 
 -2,170,414 
 
 2,074,241 
 
 - 829,665 
 
 -2,804,405 
 
 42,593 
 
 UC 29, Maintenance construction 
 
 128,142 
 
 45,584 
 
 176,737 
 
 — 
 
 74.874 
 
 156,795 
 
 17,690 
 
 UC 30, New construction 
 
 70,583 
 
 111,396 
 
 1,066,306 
 
 
 387,678 
 
 1,022,368 
 
 7,840 
 
 UC 31, Local government 
 
 74,103 
 
 58,638 
 
 186,577 
 
 — 
 
 — 
 
 136,496 
 
 20,838 
 
 UC 32, Federal Government 
 
 
 
 
 — 
 
 — 
 
 
 
 UC 33, Inventory addition 
 
 102 
 
 — 
 
 — 
 
 — 
 
 — 
 
 — 
 
 — 
 
 UC 35, Capital formation 
 
 — 
 
 — 
 
 1,363,083 
 
 42,619 
 
 — 
 
 143,993 
 
 — 
 
 UC 37, Households 
 
 558,652 
 
 728,390 
 
 1,641,486 
 
 4,539 
 
 2,428 
 
 2.801,067 
 
 27,175 
 
 Intermediate sectors 
 
 
 
 
 
 
 
 
 UC 1, Meat animals and products 
 
 6,517 
 
 1,162 
 
 5,004 
 
 — 
 
 78 
 
 3,408 
 
 35 
 
 UC 2, Poultry and eggs 
 
 4 ,546 
 
 1,742 
 
 1,336 
 
 — 
 
 13 
 
 1,609 
 
 34 
 
 UC 3, Farm dairy products 
 
 2 ,663 
 
 312 
 
 4,371 
 
 — 
 
 23 
 
 1,891 
 
 9 
 
 UC 4, Food and feed grains 
 
 13,146 
 
 11,984 
 
 5,978 
 
 — 
 
 13 
 
 3,372 
 
 1,881 
 
 UC 5, Cotton 
 
 20,392 
 
 5,414 
 
 3,829 
 
 
 18 
 
 1,944 
 
 1,804 
 
 UC 6, Vegetables 
 
 36,778 
 
 12,430 
 
 7,792 
 
 
 42 
 
 50,113 
 
 5,253 
 
 UC 7, Fruit and nuts 
 
 32,882 
 
 19,641 
 
 6,602 
 
 — 
 
 34 
 
 16,581 
 
 1,819 
 
 UC 8, Citrus 
 
 7 , 658 
 
 3 , 650 
 
 1,686 
 
 
 
 12,876 
 
 390 
 
 UC 9, Forage 
 
 8,824 
 
 15,196 
 
 7,407 
 
 
 15 
 
 4,372 
 
 2,390 
 
 UC 10, Miscellaneous agriculture 
 
 8,648 
 
 18,081 
 
 6,960 
 
 
 88 
 
 22,551 
 
 2,253 
 
 UC 11, Grain mill products 
 
 14,938 
 
 1,031 
 
 5,059 
 
 
 
 23,595 
 
 956 
 
 UC 12, Meat and poultry processing 
 
 4,536 
 
 2,409 
 
 8,658 
 
 
 39 
 
 7,017 
 
 539 
 
 UC 13, Dairy products 
 
 20,812 
 
 3,697 
 
 6,696 
 
 
 32 
 
 39,815 
 
 665 
 
 UC lA, Canning, preserving, freezing 
 
 34,979 
 
 9,020 
 
 247,297 
 
 
 2,625 
 
 126,275 
 
 1,388 
 
 UC 15, Miscellaneous agricultural 
 
 
 
 
 
 processing 
 
 46,313 
 
 
 49,269 
 
 
 1.875 
 
 48,914 
 
 1.266 
 
 UC 16, Chemicals and fertilizers 
 
 392,706 
 
 
 37,991 
 
 67 
 
 17,871 
 
 52,629 
 
 11.449 
 
 UC 17, Petroleum 
 
 85,098 
 
 1,410,461 
 
 82,856 
 
 
 1,599 
 
 23,498 
 
 37.725 
 
 UC 18, Fabricated metals and 
 
 
 
 
 
 
 machinery 
 
 53,953 
 
 16,770 
 
 1,206,420 
 
 24,464 
 
 901,650 
 
 232.364 
 
 3.138 
 
 UC 19, Aircraft and parts 
 
 6,957 
 
 4,778 
 
 273,703 
 
 719,662 
 
 133,849 
 
 73.723 
 
 394 
 
 UC 20, Primary metals 
 
 15,674 
 
 7,281 
 
 68,432 
 
 81 
 
 328,017 
 
 26,581 
 
 106.728 
 
 UC 21, Other manufacturing 
 
 224,275 
 
 24,245 
 
 184,988 
 
 9,879 
 
 118,315 
 
 1,519,053 
 
 50.355 
 
 UC 22, Mining 
 
 6,425 
 
 6,866 
 
 21,956 
 
 
 11,594 
 
 20,971 
 
 32,546 
 
 UC 23, Utilities 
 
 645 
 
 15,351 
 
 21,400 
 
 
 2,705 
 
 56,704 
 
 122 
 
 UC 24, Selected services 
 
 23,782 
 
 21,197 
 
 205,840 
 
 501,860 
 
 971 
 
 206,919 
 
 748 
 
 UC 25, Trade and transportation 
 
 7,701 
 
 180,746 
 
 88,128 
 
 22,140 
 
 7,585 
 
 169,253 
 
 2,547 
 
 UC 26, Unallocated services 
 
 68,238 
 
 48,975 
 
 181,804 
 
 136,615 
 
 28,138 
 
 780,672 
 
 15,291 
 
 a/ Net imports are shown as negative net exports. Total inputs are distributed rather than domestically produced Inputs 
 only. (See discussion of Sector UC 28.) 
 
 Source: [2], [9], [10], [22), [30], [60], [63], [81], [82], [93]. 
 
 -65- 
 
TABLE A-13 
 
 Available Output and Distribution of the Utilities, Service, 
 and Transportation Sectors, 1958 
 
 
 a/ 
 
 UC 23— 
 
 UC 24 
 
 UC 25 
 
 UC 26 
 
 
 thousand 
 
 dollars 
 
 
 Domestic supply 
 
 2 , 1.12. ,olo 
 
 3,811,907 
 
 11,045,931 
 
 14,278,694 
 
 Gross domestic output 
 
 2 , 222 ,818 
 
 3,811,907 
 
 11,045,931 
 
 14,278,694 
 
 Inventory change 
 
 
 
 
 
 Distribution of output 
 
 2,222,818 
 
 3,811,907 
 
 11,045,931 
 
 14,278 ,694 
 
 Final demand sector 
 
 
 
 
 
 UC 27, Scrap and by-products 
 
 
 
 22 ,041 
 
 
 UC 28, Net exports 
 
 - 503,238 
 
 481,913 
 
 49,177 
 
 - 1,331,573 
 
 UC 29, Maintenance construction 
 
 4,819 
 
 33,223 
 
 202 ,484 
 
 26 ,447 
 
 UC 30, New construction 
 
 27,110 
 
 7,253 
 
 789,771 
 
 440,917 
 
 UC 31, State and local government 
 
 115,283 
 
 25,116 
 
 99,734 
 
 241 ,531 
 
 UC 32, Federal Government 
 
 50,042 
 
 545,257 
 
 201,688 
 
 324,731 
 
 UC 35, Gross private capital formation 
 
 29 ,865 
 
 1,132 
 
 295,460 
 
 96,968 
 
 UC 37, Households 
 
 1,173,419 
 
 1,895,722 
 
 6,573,771 
 
 8,336,267 
 
 Intermediate sectors 
 
 
 
 
 
 UC 1, Meat animals and products 
 
 8,583 
 
 4,825 
 
 18,597 
 
 47,320 
 
 UC 2, Poultry and eggs 
 
 2,796 
 
 789 
 
 160 
 
 6,220 
 
 UC 3, Farm dairy products 
 
 5,026 
 
 1,415 
 
 19,963 
 
 24,561 
 
 UC 4, Food and feed grains 
 
 3,279 
 
 515 
 
 319 
 
 54,249 
 
 UC 5, Cotton 
 
 5,736 
 
 483 
 
 608 
 
 87,987 
 
 UC 6, Vegetables 
 
 8,181 
 
 1,358 
 
 827 
 
 67,402 
 
 UC 7, Fruit and nuts 
 
 7,107 
 
 1,747 
 
 1,460 
 
 29,206 
 
 UC 8, Citrus 
 
 1,555 
 
 360 
 
 517 
 
 11,153 
 
 UC 9, Forage 
 
 3,890 
 
 605 
 
 456 
 
 57,756 
 
 UC 10, Miscellaneous agriculture 
 
 21,267 
 
 2,718 
 
 2,371 
 
 76,764 
 
 UC 11, Grain mill products 
 
 1,939 
 
 1,323 
 
 20,796 
 
 11,767 
 
 UC 12, Meat and poultry processing 
 
 7,126 
 
 37,710 
 
 63,772 
 
 71,101 
 
 UC 13, Dairy products 
 
 5,738 
 
 6,951 
 
 65,552 
 
 34,886 
 
 UC 14, Canning, preserving, freezing 
 
 12,459 
 
 8,277 
 
 136,503 
 
 75,735 
 
 UC 15, Miscellaneous agricultural processing 
 
 11,701 
 
 8,613 
 
 382,674 
 
 117,811 
 
 UC 16, Chemicals and fertilizers 
 
 21,396 
 
 11,813 
 
 140,134 
 
 110,207 
 
 UC 17, Petroleum 
 
 42,711 
 
 9,170 
 
 147,336 
 
 315,952 
 
 UC 18, Fabricated metals and machinery 
 
 43,019 
 
 13,678 
 
 248,824 
 
 231,893 
 
 UC 19, Aircraft and parts 
 
 19,666 
 
 3,898 
 
 55,958 
 
 42,173 
 
 UC 20, Primary metals 
 
 31,004 
 
 4,762 
 
 91,901 
 
 33,505 
 
 UC 21, Other manufacturing 
 
 70,053 
 
 26,489 
 
 347,737 
 
 176,099 
 
 UC 22, Mining 
 
 10,446 
 
 708 
 
 14,932 
 
 21,037 
 
 UC 23, Utilities 
 
 393,156 
 
 2,897 
 
 28,422 
 
 195,550 
 
 UC 2A, Selected services 
 
 48,594 
 
 263,686 
 
 135,355 
 
 656,931 
 
 UC 25, Trade and transportation 
 
 290,065 
 
 206,262 
 
 385,987 
 
 1,619,567 
 
 UC 26, Unallocated services 
 
 249,025 
 
 201,239 
 
 500,644 
 
 1,966,574 
 
 &I Net imports are shown as negative net exports. Total Inputs are distributed rather than domestically 
 produced Inputs only. (See discussion of Sector UC 28.) 
 
 Source: [15], [16], [21], [47], [63], [81], [93], [94], [95]. 
 
 -66- 
 
TABLE A-14 
 
 Water Requirements by California and Arizona Sectors, 1958 
 
 Sector 
 number 
 
 Sector title 
 
 Water intake 
 
 California 
 
 Arizona 
 
 
 
 million 
 
 gallons 
 
 1 
 
 Meat animals and products 
 
 12,634 
 
 19,016 
 
 2 
 
 Poultry and eggs 
 
 1,559 
 
 20 
 
 3 
 
 Farm dairy products 
 
 10,603 
 
 2,144 
 
 4 
 
 Food and feed grains 
 
 1,353,455 
 
 578,517 
 
 5 
 
 Cotton 
 
 977,553 
 
 616,711 
 
 6 
 
 Vegetables 
 
 698,155 
 
 154,304 
 
 7 
 
 Fruit (excluding citrus) and nuts 
 
 820,078 
 
 5,512 
 
 8 
 
 Citrus 
 
 254,392 
 
 35,980 
 
 9 
 
 Forage 
 
 3,075,056 
 
 523,997 
 
 10 
 
 Miscellaneous agriculture 
 
 501,941 
 
 56,151 
 
 11 
 
 Grain mill products 
 
 1,072 
 
 145 
 
 12 
 
 Meat and poultry processing 
 
 15,145 
 
 198 
 
 13 
 
 Dairy products 
 
 15,558 
 
 147 
 
 14 
 
 Canning, preserving, freezing 
 
 16,585 
 
 58 
 
 15 
 
 Miscellaneous agricultural processing 
 
 26,138 
 
 325 
 
 16 
 
 Chemicals and fertilizers 
 
 31,892 
 
 383 
 
 17 
 
 Petroleum 
 
 54,463 
 
 17 
 
 18 
 
 Fabricated metals and machinery 
 
 16,339 
 
 94 
 
 19 
 
 Aircraft and parts 
 
 6,192 
 
 137 
 
 20 
 
 Primary metals 
 
 6,032 
 
 10,000 
 
 21 
 
 Other manufacturing 
 
 114,476 
 
 496 
 
 22 
 
 Mining 
 
 22,945 
 
 15,065 
 
 23 
 
 Utilities 
 
 124,853 
 
 17,136 
 
 24-26 
 
 Combined commercial 
 
 124,357 
 
 7,630 
 
 
 TOTAL 
 
 8,281,773 
 
 2,044,183 
 
 -67- 
 
l-Thile the research budget for this project prohibited extensive survey 
 to obtain primary data, nonetheless it became apparent that interstate trade 
 data of the detail required for I-O studies is not generally collected and 
 summarized by most firms. This paucity of interregional commodity flow data 
 is undoubtedly the greatest current obstacle to constructing a meaningful 
 multiregional model of the western United States and results presented in 
 the text must be qualified to the extent necessary to reflect data 
 inadequacies. 
 
 Californi a sectors 1^23^. — The following are the major sources used for 
 estimating the gross exports to Arizona by California sectors 1-23: 
 
 1. The Interstate Commerce Commission, Carload waybill statistics [23]. 
 
 2. USDA Agricultural Marketing Service, Fruit and Vegetable Division, 
 Washington, D.C., [55]. 
 
 3. A mail questionnaire sent to 389 marketing and trade organizations 
 throughout the state of California. The questionnaire requested 
 the organizations to provide volume and/or value of the commodities 
 shipped to Arizona and other states in the union. 
 
 4. Different commodity experts of the California Department of Agricul- 
 ture were interviewed personally. 
 
 These and other sources were used either singly or in combination to 
 arrive at a rough estimate of each sector's gross export to Arizona. 
 
 In most cases, especially where the estimates were based on ICC data, a 
 problem of valuation did arise since most of the ICC commodity classifications 
 do not correspond with the Standard Industrial Classification (SIC) on which 
 the sectoring pattern of the California and Arizona models are based. 
 
 Thus the second step was to convert tonages of different commodity groups 
 into producers value. To accomplish this the following sources were used: 
 
 1. An ICC study, which correlated the freight revenue and wholesale value 
 at destination of commodities transported by Class I line-haul rail- 
 roads, was used whenever appropriate to impute dollar values to dif- 
 ferent commodity groups [24]. To approximate the producer's value 
 the wholesale value at destination was adjusted for transportation 
 charges based on the freight revenues published by the ICC. 
 
 2. U.S. Department of Labor, Whol esale Prices and Price Index es [91]. 
 
 3. USDA, Crop Values-Season average prices received by farmers [68]. 
 
 -68- 
 
4. The Claims Department of the Southern Pacific Railroad maintains 
 records of number of claims and revenue paid for such claims in case 
 of spoilage of freight haul. This source was used also to estimate 
 value for certain categories of commodities. 
 
 5. \'Jhen the above sources and other published sources were not adequate 
 to establish the value of a certain commodity group, the local whole- 
 salers of equivalent commodities were contacted for information. 
 
 The last step was to examine the figures obtained above for completeness of 
 sectoral coverages. In many cases, available data represented only a few 
 subcomponents of sectoral outputs. Then, the preliminary figure was "blown-up" 
 in proportion to subsector contribution of the appropriate sectoral outputs. 
 For example, the preliminary gross export figure for California sector 2 (Poultry 
 and eggs) was $9,843,000. This figure was based on data for "farm and nonfarm 
 eggs subcomponent of sector 2. Since 'farm and nonfarm eggs ' constituted 
 only 0.508470 of the 1958 sector 2 output, the figure was adjusted upward by 
 a factor of 1.966684 (i.e., o"^"8T70 ^ ' resulting final figure was 
 
 $19,358,071 (or $9,843,000 x 1.966684). 
 
 The implicit assumption in the above procedure is that a subcomponent 
 of any sector (where complete data was not available) contributed to that 
 sector's gross trade in the same proportion as it contributed to the sector's 
 gross output. 
 
 A rizona sectors 1-23 . — In estimating the Arizona gross import for sectors 
 1-23, the same procedures were used as described above. The major data sources 
 were [23], [24], [55], [91]. 
 
 Ca lifornia and A rizona sectors 24 and 26^. — Complete lack of data on both 
 California and Arizona sector 24 (Selected Services) prevented estimation of 
 actual trade flows for this sector. Consequently, a net relationship was 
 employed. However, since both California and Arizona sectors 24 are net ex- 
 porters it was further assumed that no net flows occurred between the two 
 states. 
 
 The same reasoning was employed for California and Arizona sector 26 
 (Unallocated Services). Both were net importers, and it was assumed that no 
 cross-hauling occurred between the two states. 
 
 -69- 
 
Sector 25 — trade and transportation . — Due to complete lack of data, it 
 was here assumed that trade and transportation sector's contribution to exports 
 was In the same proportion as Its contribution to total domestic output of all 
 sectors. Thus, the following relationships were used to arrive at an esti- 
 mate for the gross export of sector 25 In each one of the two states. 
 
 ^ca Total gross exports of California sectors 1-30 excluding 
 
 25 ^ sectors 25 and 28 
 
 „c Total GDO of California sectors 1-30 excluding sectors 
 
 25 25 and 28 
 
 where 
 
 Also 
 
 where 
 
 C3. 
 
 t^^ = gross export of California sector 25 to Arizona 
 
 2^ = gross output of California sector 25. 
 
 j.ac Total gross exports of Arizona sectors 1-30 excluding 
 
 25 ^ sectors 25 and 28 
 
 a Total GDO of California sectors 1-30 excluding sectors 
 
 25 25 and 28 
 
 3.C 
 
 = gross export of Arizona sector 25. 
 
 X^ 
 ^25 
 
 = gross output of Arizona sector 25. 
 
 The Implicit assumption is that the total transportation cost is closely 
 related to the volume of commodities hauled between the two states. 
 
 Sectors 27 and 31. — Gross exports for these sectors — scrap and by-products, 
 households, and governments respectively — were not estimated. Because of the 
 lack of data no sound basis existed for making such estimates. 
 
 Sectors 29 and 30. — (Maintenance Construction and New Construction) Lack 
 of data dictated the adoption of the following procedure: 
 
 c Total gross exports of California sector 1-26 excluding 
 
 29 ^ sector 25 
 
 c GDO for sectors 1-26 excluding sector 25 
 *29 
 
 -70- 
 
Total gross exports of Arizona sector 1-26 excluding 
 
 sector 25 
 
 GDO for Arizona sectors 1-26 excluding sector 25 ' 
 
 Total gross exports of California sectors 1-29 excluding 
 
 sectors 25. 27, and 28 
 
 GDO for California sectors 1-29 excluding sectors ' 
 25, 27, and 28 
 
 Total gross exports of Arizona sectors 1-29 excluding 
 
 25. 27. and 28 ^ 
 
 GDO for Arizona sectors 1-29 excluding sectors 25, 
 27, and 28 
 
 Estimation of Water Requirements 
 
 The estimation of water requirements necessarily begins with definitions. 
 Withdrawal uses of water are those which are actually transported from some 
 source, either surface or underground, to the point of use. Within this study, 
 no distinction was made between ground water and surface water. Three mea- 
 sures relating to the withdrawal uses of water are: water intake, gross water 
 used, and water consumed. Water intake, the measure used in this analysis, is 
 defined as the quantity of water which an industry withdraws from its source 
 of supply. Any loss of water through evaporation or some other process after 
 the industry has withdrawn the water is included as a part of water intake. 
 Not included as water intake is that water which is lost before the industry 
 withdraws the water. This distinction is important in the handling of surface 
 water used in irrigation. For example, water intake for sector 4 (Food and 
 feed grains) is that water actually pumped from wells for use in sector 4 and/ 
 or that water actually withdrawn from public irrigation canals. Not included 
 as water intake is the amount of water lost in transportation to the farmer's 
 first point of withdrawal. 
 
 Gross water used refers to the total amount of water used including recir- 
 culation. Consumptive use of water is the quantity discharged to the atmos- 
 phere or incorporated into the products of the process in which it was used. 
 
 The estimation of water requirements involves two processes : (1) the 
 estimation of control totals for each major grouping of sectors (livestock, 
 crops, industry, and commercial sectors) and (2) the distribution of water 
 between the sectors. Although nation-wide interest in the problem of water 
 
 h9 
 
 '30 
 
 so 
 
 '30 
 
 ^30 
 
 -71- 
 
scarcity has been rapidly growing in recent years, the data availability for 
 comprehensive study on water usage is still a major problem. Consequently, 
 the California and Arizona studies relied on many varied sources of information 
 in arriving at final estimates of sectoral water demands. These sources and 
 techniques of estimation are outlined below: 
 
 Sectors 1-3— Livestock . —The preliminary estimates for livestock water 
 withdrawals include only drinking water requirements. The equation used was: 
 
 Required drinking water 
 for a class of animals, 
 1958 
 
 Daily water 
 requirements 
 per animal 
 
 365 days 
 
 Average inventory 
 for each class in 
 1958 
 
 Drinking water requirements were defined as average amount consumed and 
 not as a minimum requirement for survival. 
 
 For California sector 1-3 sources [20], [30], [35], and [38] were used 
 and sources [1], [19], [30], [34], [36], [44], and [49] for Arizona sectors 
 1-3. 
 
 For sectors 1-3 the estimates of required "water intake" are equal to the 
 "water consumed" concepts. The reasoning is that all water intake is evaporated, 
 drunk, or lost and is, therefore, consumed. Also, there is no apparent recircu- 
 lation, so "water intake" and "gross water used" are identical quantities. 
 
 Sectors 4-10 — Crops . — Total water requirements for the seven agricultural 
 crop sectors were computed as follows: 
 
 Total water requirements 
 of crop i, 1958 
 
 Water requirement 
 per irrigated acre 
 
 Acres of crop i 
 irrigated, 1958 
 
 Total water requirements for individual crops were then aggregated accord- 
 ing to sectors 4 through 10. Total acreage under cultivation for each crop 
 was made to agree with the one used in computation of gross domestic output. 
 Total acreage was separated into irrigated and nonirrigated using sources [61] 
 and [82] for California and [61] and [80] for Arizona. 
 
 In all cases the estimated water intake requirements are for ground water 
 pumped or surface water taken by the farmer at his first point of acceptance; 
 that is, water purchased by the farmer. This necessarily includes water which 
 
 -72- 
 
is lost through evaporation or seepage after the farmer receives It — not Inclu- 
 ded are conveyance losses occurring prior to the farmer's acceptance. 
 
 Sectors 11-21 — Manufacturing and Processing . — The estimates of California 
 water Intake by sectors 11-21 were obtained largely from sources [14] and [84]. 
 Source [14] gives estimates according to 3-dlglt SIC sectors which allowed 
 reaggregatlon In appropriate sectors. For Arizona sectors 11-21 [84] was the 
 major source. 
 
 To determine the gross water and water consumed for each Industry the 
 following procedures were used. For California, It was assumed that gross 
 water and water discharged Is related to California water Intake as the total 
 U.S. gross water and water discharged Is related to total U.S. water Intake 
 for each Industry. California water consumed was then obtained by subtracting 
 water discharged from water Intake. 
 
 For Arizona Initial estimates were made for each Industry assuming that 
 the ratio of water to shipments Is the same for Arizona as the United States 
 as a whole. This yielded a general equation of the form: 
 
 United States water Intake, 
 
 Industry y Arizona water Intake 
 
 United States shipments, Arizona shipment of Y * 
 
 Industry y 
 
 Data on shipments came from [85] and water requirements for the United States 
 are reported In [84]. 
 
 In certain cases, part of the total United States water requirements were 
 not Included In the California total because certain national Industries were 
 not present In California. For example, wet com milling was not Included In 
 California sector 11 and sugar cane was excluded from sector 15 because of the 
 absence of these Industries In California. 
 
 Sector 23 — Utilities . — The sector has three components for which water 
 requirements must be obtained: electric light and power, telephone and tele- 
 graph, and gas. The most Important of these quantitatively for water is elec- 
 tric light and power. The assumption was made that water intake was propor- 
 tional to annual output of electrical power. Thus the following relation was 
 used: 
 
 -73- 
 
Water required 1960 
 
 Electricity produced, 1960 
 
 Estimated water required 1958 
 
 Electricity produced, 1958 
 
 Data on water requirements for electric power generating companies were from 
 [30] and data on electricity produced In 1958 and 1960 were from [88], 
 
 Sectors 24-26 , 29, and 30. — There Is no set of reliable or consistent data 
 which give water requirements of the various trade, transportation, service, 
 and construction Industries. Commercial requirements for water are, how- 
 ever, quantitatively very small. 
 
 Water estimates for these commercial sectors were adopted from the 
 Lofting and McGauley Economic Evaluation of Water, Part II, [29]. The esti- 
 mates for the Arizona's combined commercial sectors were given in Tljoriwala, 
 et al. , [39, Part II, op. clt. ]. 
 
 Table A-IA gives the estimates of the water intake requirements for 
 California and Arizona sectors in million gallons. Heavy agricultural water 
 use is noted by the fact that out of 8,281,773 million gallons of total water 
 intake by California sectors, 7,705,426 million gallons (approximately 93 
 percent) were used by agricultural production sectors, 74,498 million gallons 
 (approximately 1 percent) were used by agricultural processing sectors, and 
 the remaining 501,549 million gallons (approximately 6 percent) were used by 
 manufacturing, mining, and service sectors. 
 
 -74- 
 
APPENDIX B 
 
 THE NORTH- SOUTH CALIFORNIA MODEL (1958) 
 
 Mathematical Formulation 
 
 The North-South California model is developed by expanding the transaction 
 matrix of the general California model into a northern (n) and southern (s) 
 region. That is, each sector is described both by type of activity or product 
 (1, j) and regional location (n, s). Thus, the two-region flow equations 
 are : 
 
 (B-1) = E + Xij^ + + 1, j = 1 . . . 26 
 
 s ^ ss , T- sn , „n . „s . 
 
 X = 7 V + I Y + Y + Y 
 
 h j ^ij + ^ ^ij ^ ^i ^ 'i 
 
 The left superscript indicates the region of production, while the right super- 
 script indicates the region of destination. 
 
 Constant technical coefficients are expressed for all 52 (26 in each region) 
 
 of the northern and southern sectors considered endogenous in the model. Defi- 
 nition of the a., is as follows: . _j . 
 
 ij . , . 
 
 (B-2a) a"" = ' ^ are direct inputs from northern sector 1 to northern 
 ij 
 
 j sector j per dollar of output of northern sector j . 
 
 (B-2b) a^^ = — are direct inputs from southern sector 1 to southern 
 j sector j per dollar of output of southern sector j . 
 
 (B-2c) a"^ = — =^ are direct inputs from northern sector i to southern 
 
 sector j per dollar of output of southern sector j. 
 
 J 
 
 x!" 
 
 (B-2d) a = are direct Inputs from southern sector i to northern 
 
 ij 
 
 J sector j per dollar of output of northern sector j . 
 
 -75- 
 
Substituting Equation (B-2a) - (B-2d) into (1) and rearranging terms gives 
 
 (B-3) 
 
 
 
 
 
 
 
 I - a"" i 
 
 - a"^ 
 
 
 
 
 
 - A^" 
 
 I - A^^ 
 
 
 
 
 
 
 
 
 
 
 
 The X and Y vectors are partitioned into two submatrices, each 26 x 1, while 
 
 the A matrix is partitioned into four submatrices, each 26 x 26. The solution 
 
 for X here has the same general form as the solution for X in the general 
 model. This is. 
 
 (B-4) 
 
 X = (I - A) -^Y. 
 
 The matrix of interdependence or inverse coefficients, (I - A) , is expressed 
 as , 
 
 (B-5) 
 
 
 
 
 ,nn* 
 
 
 
 A 
 
 
 
 . sn* 
 
 
 
 A 
 
 
 
 A*. 
 
 Each submatrix is of dimensions 26 x 26. Interpretation of these interdepen- 
 dency coefficients (A*) is as follows : 
 
 .nn' 
 
 2. A 
 
 ss' 
 Ij 
 
 ,ns* 
 
 sn» 
 ij 
 
 show the 
 northern 
 northern 
 
 show the 
 southern 
 southern 
 
 show the 
 northern 
 southern 
 
 show the 
 southern 
 northern 
 
 direct 
 sector 
 sector 
 
 direct 
 sector 
 sector 
 
 direct 
 sector 
 sector 
 
 direct 
 sector 
 sector 
 
 and indirect 
 i per dollar 
 J. 
 
 and indirect 
 i per dollar 
 j • 
 
 and indirect 
 i per dollar 
 j • 
 
 and indirect 
 i per dollar 
 j. 
 
 requirements for products of 
 of final demand for products of 
 
 requirements for products of 
 of final demand for products of 
 
 requirements for products of 
 of final demand for products of 
 
 requirements for products of 
 of final demand for products of 
 
 -76- 
 
Final demand for products of each region may occur either in the region of pro- 
 duction, the other California region, from outside of the state, or from any 
 combination of these sources. 
 
 Regional Classification 
 
 California is divided into a northern and southern region using the phys- 
 ical and "traditional" division of the state by the Tehachapi Mountains. In 
 addition to the Tehachapis being the traditional dividing line between Northern 
 and Southern California, they possess particular significance for economic anal- 
 ysis because of the increased transportation cost their presence entails. 
 
 This natural division of the State is approximated by the northern bound- 
 ries of Santa Barbara, Ventura, Los Angeles, and San Bernardino counties (see 
 Figure 1). 
 
 Division of Outputs and Inputs for Northern and Southern California 
 
 The general method of construction of the North-South transaction matrix 
 involved "splitting" the purchased inputs for each sector from the California 
 table into two components — Northern and Southern California — in proportion to 
 the relative output for each region. The implicit assumption is that the gross 
 technical coefficients matrix (value of input from all sources per unit of 
 output) is identical in both regions. In a few instances, however, where the 
 assumption of identical technical coefficients was obviously unrealistic, sepa- 
 rate coefficients were derived for each area. 
 
 Percentages of California output produced in the North and in the South 
 are presented in Table B-1. These same percentages were used to divide the 
 input structure of corresponding sectors . In many sectors , a single input 
 division was made. For Instance, because poultry and egg output (Sector 2) is 
 distributed 56.81 percent to the North and 43.19 percent to the South, each 
 input flow to this sector was divided in this same proportion. 
 
 Where data are available, the California input structure was disaggregated 
 into smaller subsectors before input division was made. Thus, components of 
 the sector were weighted for differences in relative regional production. Mea- 
 sures used, in order of decreasing preference, were regional value output data. 
 
 -77- 
 
TABLE B-1 
 
 Division of California Sector Outputs, by Regions, 1958 
 
 
 
 Percent 
 
 of total 
 
 
 
 California output 
 
 ector 
 
 
 production 
 
 numbe r 
 
 
 
 
 South 
 
 1 
 1 
 
 Meat animdls &nd products ^ ... . ^ 
 
 60. 79 
 
 39 . 21 
 
 4. 
 
 Foul t ry 3nd 6g^s ' 
 
 56 . 81 
 
 43. 19 
 
 J 
 
 Farm dairy products ^ 
 
 J? ■ J / 
 
 40. 63 
 
 A 
 
 Food and feed ^ rains - .-^ ■ 
 
 86 , 0 7 
 
 13.93 
 
 J 
 
 Co 1 1 on 
 
 Qfl T7 
 7U • J / 
 
 9.63 
 
 h 
 
 Vegetables *-•.» • i i.' ' ■ 
 
 64 . 69 
 
 35 . 31 
 
 
 Pt-ii1^c and TMit"e rovr»1ii(MntT P'it'T'iifll 
 
 94. 39 
 
 5. 61 
 
 Q 
 
 0 
 
 
 9 7 7 
 
 7A A 1 
 
 u 
 
 Forage ■ ' ' • - ^ 
 
 
 20 78 
 
 
 nay ^ ,. ,.^ ' . , 
 
 7 9 /. 9 
 
 99 t;si 
 
 
 P as t ure 
 
 oD • J J 
 
 11 A 7 
 
 
 Mis ce 1 1 aneous ag rlculture . ^/ 
 
 . T^^ eh < no "' . ■ ■ - t • ■ / 
 
 risnxn^ 
 
 48 42 
 
 51 . 58 
 
 
 14. 81 
 
 ' 85,19 
 
 
 Ag r 1 cultural services 
 
 53. 74 
 
 46, 26 
 
 
 
 56 . 35 
 
 43. 65 
 
 
 CyaAv^ m"f 1 1 nT"rtHtir*t'G 
 
 vjlaXII iJJXXX WL^UUL-L^ 
 
 58, 14 
 
 41. 86 
 
 1 9 
 
 Meat and poult ry processing 
 
 Aft Q^i 
 
 
 1 J 
 
 Da i rv products 
 
 56 . 30 
 
 43, 70 
 
 14 
 
 (""annHno n T"*» c*i f if i n o AT\A fT"P^*7^nCT 
 
 7W 1 T 
 
 91 H 7 
 Z J. . 0 / 
 
 1 c 
 
 M 1 s ce 1 lane o us agricultural processing ' 
 
 JO . U J 
 
 A 1 Q7 
 
 
 R o 1/ o w n T"/^ H 1 1 t" G 
 
 44 * 96 
 
 S S flA 
 
 
 ^ Sugar 
 
 Q 1^ Ql^ 
 
 y J > y J 
 
 A nt; 
 
 
 Confecti one rv « be ve rages « and mis ce 1 lane ous *" 
 
 JO , tSl 
 
 A 1 TO 
 
 **! • iy 
 
 
 Tobacco ' * 'V* 
 
 1 /. 7 
 i^f . J / 
 
 
 16 
 
 Chemi ca Is and f er t i lizers 
 
 41 . 16 
 
 ^ Q QA 
 JO. OH 
 
 17 
 
 Petroleum 
 
 /i 1 a 7 
 
 JD . ± J 
 
 
 Crude oetroleiim 
 
 
 Jo . J.U 
 
 
 Petroleum processing . ' 
 
 AH Q 0 
 
 CL 1 nft 
 
 J i . Uo 
 
 
 Fabricated metals and machinery 
 
 35 34 
 
 64 , 66 
 
 
 Fabricated metal products ~ - 
 
 ji . bU 
 
 A Q An 
 
 
 Machinery (except electrical) ■ % ^ 
 
 "XL 7ft 
 
 65 , 22 
 
 
 Electrical machinery 
 
 9*i 7 9 
 ZD . / -J 
 
 71 97 
 
 
 Transport at i on eq uipment (except aircraft) 
 
 IQ 9ri 
 
 J5 ■ JU 
 
 60 70 
 
 1 Q 
 
 Ai rcra f t 
 
 1 1 A 
 1 • 10 
 
 QH HA 
 70 , o** 
 
 on 
 
 Primary metals , 
 
 37. 79 
 
 62, 21 
 
 9 1 
 
 Other manuf ac t ur i ng ■ . . 
 
 34. 56 
 
 65. 44 
 
 
 Textile mill products 
 
 27 , 18 
 
 72. 82 
 
 
 Annar"pl anH fahn' rat'pd t"PXt"1 Ips 
 
 1 n ^ft 
 
 10 • JO 
 
 HI A9 
 
 
 T 1 tmVi o 3 n /H ^3f\e\n r\f\\\c* ^ ^ 
 
 86 14 
 
 13 . 86 
 
 
 - , Furni ture and fixtures * ■ , 
 
 24 29 
 
 75.71 
 
 
 Paper and allied products ■ , - .- 
 
 48.55 
 
 51.45 
 
 
 Printinc and publishing 
 
 45 . 16 
 
 54. 84 
 
 
 .. .- . Rubber products ^ - 
 
 11.49 
 
 88. 51 
 
 
 Stone f clay , and glass products ^_ ■ : . ^ - 
 
 35 . 6 7 
 
 A A 11 
 
 
 
 a 79 
 
 90 28 
 
 
 M^ c 1 anof^iic TT\aniir f* T TIC 
 :^xa [_<:: iXalltrijua iirdiiUi.ci^L.ULXii^ 
 
 21.12 
 
 7H HQ 
 / 0 . 00 
 
 
 Leather products . . . . ^•.< . 
 
 
 
 22 
 
 Mining 
 
 1 A 
 J . ID 
 
 54 , 84 
 
 23 
 
 Utilities • .■ I 
 
 A U 1 Q 
 
 ■in H9 
 
 JU . Oi. 
 
 
 Gas and electricity 
 
 50 . 38 
 
 A Q AT 
 
 
 Te le phone and telegraph 
 
 47.27 
 
 52.73 
 
 24 
 
 Selected services 
 
 35. 30 
 
 64 . 70 
 
 
 Personal services and auto repairs 
 
 39.79 
 
 60.21 
 
 
 Other services 
 
 31.49 
 
 68.51 
 
 25 
 
 Ti"a/^*> anH ^i^anen^i"t"af'"ion 
 
 42.71 
 
 57.29 
 
 26 
 
 Unallocated services 
 
 37.84 
 
 62.16 
 
 27 
 
 Scrap and by-products 
 
 
 
 28 
 
 Net exports and imports 
 
 45.14 
 
 
 29 
 
 Maintenance construction 
 
 54.86 
 
 3U 
 
 New construction 
 
 45.14 
 
 54.86 
 
 31 
 
 State and local government 
 
 42.57 
 
 57.43 
 
 32 
 
 Federal government 
 
 42.57 
 
 57.43 
 
 33 
 
 Inventory addition ■ 
 
 
 
 34 
 
 Inventory depletion 
 
 
 
 35 
 
 Gross private capital formation . 
 
 39.62 
 
 60.38 
 
 36-37 
 
 All households 
 
 
 
 -79- 
 
physical output data, value added data, wages paid data, and physical employment 
 data. For some sectors, combinations of two or more measures were used. 
 
 Net Exports and Imports 
 
 The difference between estimated regional production and estimated regional 
 consumption was designated as net imports or net exports for each sector (Table 
 B-2). Imports were reallocated to purchasing sectors as in the California 
 model; that is, the available supply of imports from each region was allocated 
 among the purchasing sectors in proportion to the total use of that commodity 
 by the purchasing sector relative to the total use of that commodity by all 
 sectors. 
 
 Four alternative import-export relationships occurred in the construction 
 of the Southern California model: 
 
 1. Both the North and the South were net exporters. No flows are shown 
 between the two regions. All exports are distributed to sector (row 
 28b) (net exports to outside of California). 
 
 2. Both the North and the South were net importers. No flows are shown 
 between the two regions. Each region's deficit is distributed to 
 the purchasing sector from sector (row 28b) (net imports from outside 
 of California). 
 
 3. The North was a net exporter and the South was a net importer. Ex- 
 ports are distributed from the northern producing sector to the south- 
 em purchasing sector until either the South 's import requirements 
 are filled or the North's export capacity is reached (row 28a). All 
 northern exports not used by the South are exported to outside Cali- 
 fornia. If the North could not supply all the imports needed by the 
 South, the deficit was supplied from outside of California (row 28b). 
 
 4. The South was a net exporter and the North a net importer. Similar 
 procedures as discussed in (3) above. 
 
 Empirical Results 
 
 Transaction Table 
 
 The transaction table for the combined North-South California economy 
 (Table B-3) gives the interindustry flows of goods and services by sector and 
 region of origin and destination. 
 
 -80- 
 
TABLE B-2 
 
 California Regional Net Imports and Exports by Sector of Origin, 1958 
 
 
 
 Northern 
 
 California 
 
 Southern California 
 
 Sector 
 
 
 Net 
 
 Net 
 
 Net 
 
 Net 
 
 number 
 
 Sector title 
 
 exports 
 
 imports 
 
 exports 
 
 imports 
 
 
 
 
 thousand 
 
 dollars 
 
 
 1 
 
 Meat animals 
 
 — 
 
 165,016 
 
 — 
 
 239,477 
 
 2 
 
 Poultry and eggs 
 
 31,227 
 
 — 
 
 — 
 
 32,055 
 
 3 
 
 Farm dairy products 
 
 — 
 
 144 
 
 — 
 
 16,637 
 
 4 
 
 Food and feed grains 
 
 3,798 
 
 — 
 
 
 
 75,282 
 
 5 
 
 Cotton 
 
 257,243 
 
 — 
 
 26,999 
 
 
 
 6 
 
 Vegetables 
 
 109,704 
 
 — 
 
 16,732 
 
 
 
 7 
 
 Fruits and nuts 
 
 132,166 
 
 — 
 
 
 75,719 
 
 8 
 
 Citrus 
 
 8,890 
 
 
 
 95,579 
 
 
 
 9 
 
 Forage 
 
 ,. 37,481 
 
 
 
 
 41,077 
 
 10 
 
 Miscellaneous agriculture 
 
 
 23,014 
 
 73,119 
 
 — 
 
 11 
 
 Grain mill products 
 
 — 
 
 135,304 
 
 
 
 193,634 
 
 12 
 
 Meat and poultry processing 
 
 4,601 
 
 — 
 
 
 
 150,862 
 
 13 
 
 Dairy products 
 
 85,302 
 
 — 
 
 
 
 96,994 
 
 14 
 
 Canning, etc. 
 
 1,029,812 
 
 — 
 
 64,219 
 
 — 
 
 15 
 
 Miscellaneous agricultural processing 
 
 — 
 
 44,344 
 
 
 475,895 
 
 16 
 
 Chemicals and fertilizers 
 
 — 
 
 291,991 
 
 
 275,210 
 
 17 
 
 Petroleum 
 
 160,454 
 
 
 233,089 
 
 
 18 
 
 Fabricated metals and machinery 
 
 
 1,184,078 
 
 
 986,335 
 
 19 
 
 Aricraf t 
 
 
 236,540 
 
 3,310,781 
 
 
 20 
 
 Primary metals 
 
 
 276,450 
 
 
 553,215 
 
 21 
 
 Other manufacturing 
 
 
 1,412,041 
 
 
 1,392,361 
 
 22 
 
 Mining 
 
 36,182 
 
 
 6,411 
 
 
 23 
 
 Utilities 
 
 
 74,902 
 
 
 428,336 
 
 24 
 
 Selected services 
 
 
 41,152 
 
 523,065 
 
 
 25 
 
 Trade and transportation 
 
 
 38,692 
 
 87,868 
 
 
 26 
 
 Unallocated services 
 
 
 1,097,842 
 
 
 233,731 
 
 27 
 
 Scrap and by-products 
 
 
 40,377 
 
 40,377 
 
 
Inter IntlUEtry ricnrc of Ooode i 
 
 1 ilervloes by Sector and B«eloti of Origin a 
 
 Mitlnilion, N. CUIfnmla a 
 
 1 5. CallfornlB, 
 
 00 
 I 
 
 N 11 
 
 r IT 
 
 K 13 
 
 Sector tltlr 
 
 Heat uiLmali' and proauctr 
 
 Poultry anu »r(u> 
 
 Fa™ dairy producln 
 
 rood and Ttrd uralnr 
 
 Cotton 
 
 VegEtabl*! 
 
 Fruit (eieludlng citrus) i nuts 
 Citrus 
 
 macellaneous agrlcultur* 
 Cnln mill products 
 MPBt and poultry procoiln^ 
 Dairy pruilacts 
 
 Cannln(t, preaervlixi, rreetlng 
 MlscelluwfiuB agri. pi-ocesiine 
 CKnlcala and rertiliiers 
 Petrol eim 
 
 rabricaled metalt and nachinPry 
 
 Aircraft and parts 
 
 Primry oetals 
 
 Otber siaDUfaeturlng 
 
 Kinliig 
 
 Selected service; 
 
 Heat i 
 
 56*61. 
 
 istr. 
 
 U60. 
 1*S0). 
 
 1021. 
 1270*. 
 
 1091. 
 
 I IT*. 
 *«}*. 
 
 1 
 
 tar?. 
 
 1 j*21. 
 
 1022J. 
 
 lior*. 
 
 ISIVl. 
 
 **2*. 
 
 *S*2. 
 
 1261. 
 1S22. 
 
 ena. 
 
 isi*. 
 
 ISSB. 
 2362. 
 
 tS17. 
 11»T. 
 2il3. 
 
 3)1%. 
 
 1 ran. 
 30«ri. 
 
 337*i. 
 
 aoo2. 
 
 2112. 
 223*. 
 
 3069. 
 
 irsa. 
 
 )660S. 
 
 Canning, 
 prT-eervln«, 
 
 1 1*1 36. 
 209657- 
 12201. 
 
 -0. 
 3S9*S. 
 5620. 
 9128. 
 
 92*7. 
 625S, 
 10S788. 
 
 2J7*0. 
 J»107. 
 1 1 106. 
 
 *52B. 
 
 3BI6, 
 9138). 
 I 7722. 
 
 16 361. 
 
 *6T1. 
 2126T8. 
 5*6*0. 
 
 9268. 
 
 *602. 
 I*1*B. 
 
 *9)1 . 
 
 8»67. 
 
 *6a5. 
 5721). 
 )T5*S. 
 
 16. 
 1)022. 
 601*. 
 2S2690. 
 
 12B8. 
 199)23. 
 *5709, 
 1160. 
 1***3. 
 *679. 
 
 67 8)6. 
 
 Scrap ud by-products 
 Set trade fron outside 
 Maintenance conctructlon 
 Heu conEtruetlor 
 HouaettDlds and goverOBFnt 
 
 6516. 
 17317. 
 J529. 
 
 6)21. 
 33*82. 
 2*21. 
 
 266*. 
 1*822. 
 2*50. 
 
 2081 3. 
 
 -0. 
 6092 7. 
 
 292BD. 
 1*805). 
 6191. 
 
 30186. 
 68707. 
 **)0. 
 
 *50I. 
 570*1. 
 169). 
 
 5 lb 
 3 15 
 3 16 
 S 17 
 
 Pouilrj' and egf.s 
 r»no d»Jry products 
 PWJd and reed (trains 
 Cotton 
 Vegetables 
 
 ?nilt (aielullns citrus) i rai-o 
 
 CltruE 
 
 Forage 
 
 MlscellsneouB agriculture 
 Grain oIU products 
 Heat and poultry processing 
 Dairy products 
 
 Cafinlnfl, presrrvln«, freeiln* 
 
 !ilanec*i5 agri. proceEn.n*; 
 :hcmlciiH and rertUlsers 
 Petrol euB 
 
 fabricated netalt and itactilnery 
 
 Aircraft and parti 
 
 PrlflBjy netalG 
 
 OtlMr uianufactLirlne 
 
 Mintne 
 
 UtilitleE 
 
 Selecteu services 
 
 GROSS CUTbUt 
 
 (Cortlmed on neit page. ) 
 
:(>itlnii*d 
 
 H ?3 
 
 S U 
 S 13 
 S 11. 
 
 Heat nnljD^fl smJ produrtB 
 Poultri "nil fFif 
 r«r« ilBlry protlurts 
 rood ftnd fr»il Rralna 
 
 mit (pxclualnp eltru«) & 
 
 KlEHUuicoua acTleultuTF 
 
 Heat an: poultry processing 
 Dairy proJucts 
 Cannirif, preservlne. rrecii 
 ►Usrellantous afrl. procet; 
 (3ieiiical6 anil rertllliers 
 
 Fabricate;. -ntlAls anJ oachl 
 Alrermft anJ part: 
 PrloBiy iKtalB 
 
 ■Jtllltlei 
 
 Seles ted services 
 
 Tnde and trsjiEportatior 
 
 Scrap and by-profluclr. 
 Bet trade fran outsl:!* 
 ffclntenanee conitnictlo 
 Brw conttructlar. 
 HouBeboloB ana foverme 
 
 Poultry and eggs 
 Fam aairy proiucts 
 Food and feed graliu 
 
 Vegetablet 
 
 Fruit (eiclullJi*; citrus) i nuts 
 Citrus 
 
 Mlicellatieous agriculture 
 CraUi oiU products 
 Meat and poultry proceaslne 
 Dairy product t 
 
 Canning, presenrlng, frteilne 
 MlBcellaaeous aftrl- proceaBlag 
 Chemicals and fertUliers 
 
 FahrlcBted metala ant 
 Alrcran and parts 
 
 OtHer Bamfscturlns 
 
 3cr^ and C7 -products 
 Net trade iHth outside 
 MalnteUince cooBtrueticn 
 Itow construct lot 
 Uouae holds and garement 
 
 0BO35 OWIAI 
 
 10fl70*. 
 
 TIS'.O, 
 
 J 9 i J 3 . 
 
 1B16B9. 
 
 1 jr». 
 
 71606. 
 
 * 7757*. 
 
 )91B. 
 
 «orri. 
 
 7 700. 
 b6»0. 
 
 7J706. 
 
 6bi«;. 
 
 ion. 
 
 7109. 
 
 jbOOfaB. 
 -0. 
 
 3950*. 
 2DSS1. 
 *728*. 
 
 J9i97. 
 
 8355. 
 
 2067, 
 1*515. 
 90662. 
 
 9Ba;. 
 
 ?ir59. 
 510*9. 
 ;B52''). 
 -0. 
 
 256BB1. 
 1701. 
 11626. 
 
 >2l*l. 
 
 <-bb21. 
 10)*9. 
 
 *2n*. 
 
 85110. 
 
 2*7180. 
 
 *bn50. 
 
 997929. 
 
 202 IB. 
 22*669. 
 
 B5I65. 
 11**28. 
 
 25197. 
 S0)*7. 
 1*25**. 
 2*06898. 
 
 6299. 
 TOb. 
 
 **6T. 
 
 106 3. 
 B795*. 
 6505. 
 
 519070. 
 2919)). 
 20)2*9. 
 
 28*. 
 651. 
 626775. 
 
 12192. 
 *7*555. 
 168*75. 
 2 7960*0. 
 288989*. 
 
 -91*1, 219. 
 
 2*T*9B. 1591)0B. 
 
 -0. 2126. 
 
 2055751. -0. 
 
 2800771. 12287815. 
 
 (Continued on lu 
 
B-3 cootlniwd. 
 
 H 13 
 R 11< 
 
 s 13 
 s li< 
 s 15 
 
 Heat anlnkls &nd products 
 
 FUd dairy products 
 Food sni) feed f-nlna 
 
 VCgetablEi 
 
 Fmlt [ncludiiie cltrun] nuti 
 
 Kltcelluieoui •(Tlculturr 
 Gr«in mill products 
 Me«t and pcwitrv orocesslnf 
 QkLry products 
 
 Canning, prtserrlng, frMxlng 
 KlBcellaaeauH «erl. proeesslnf 
 Chemleala «id fsrtllltero 
 PstroleuB 
 
 F«bricBtea oetalE and mchinery 
 AlrcraJt and parts 
 PrUiary Mtals 
 Other aanufBCturlng 
 
 Select 
 
 I and transportation 
 Unallocated 
 
 MouaeholdA a 
 
 Poultry and ewt 
 r'am dsiry products 
 Food and feed eralns 
 
 MirctfllaneouR aiarlculture 
 
 Grain itlU productc 
 
 Hiat and poultry proccDslng 
 
 »*lr7 products 
 
 □annlne. preiervirw, rreuil 
 
 KtEceUaiwoua a^rl. procesa 
 
 'Swmlcals and .'ertllliera 
 
 Petmleu 
 
 Fabricated oetali and ma^til 
 
 art and parts 
 Primary netalc 
 Other BianuTacturlne 
 MLDlne 
 
 197*5. 
 
 Selected aerviccn 
 
 Tnie and trwlaportatlon 
 
 lOlallocatea 
 
 Scrap ana by-products 
 Net trade ntb DUtalde 
 Maintenance construction 
 Hev conatructlon 
 Housebolda and Eovemmeot 
 
 2l9t. 
 
 771.6. 
 3755. 
 6*7}. 
 
 162*. 
 *H6. 
 7976. 
 
 *3*7. 
 1876. 
 1191. 
 
 10*7. 
 31*5. 
 
 19199, 
 115*9. 
 
 17 391. 
 6999. 
 16*0. 
 3219. 
 
 9010. 
 2Sa*6. 
 1*1*5. 
 
 11697. 
 J1771. 
 11*8. 
 
 Canning, 
 fretting 
 
 105)8. 
 11597. 
 1671. 
 
 3U16. 
 
 70)0. 
 3758. 
 3*95. 
 
 )?B7. 
 1778. 
 168363. 
 50**1. 
 
 10*59. 
 75060. 
 1)56. 
 
 6**1. 
 1157. 
 1615. 
 
 36118. 
 
 '!>*•. 
 
 9i66. 
 
 690i. 
 83*51. 
 611*1. 
 
 3 1 7 
 Petro- 
 
 16760. 
 
 15370. 
 -0. 
 530. 
 91*8. 
 33156. 
 1 76*5. 
 
 511*. 
 S270a. 
 172687. 
 
 7*06. 
 18619. 
 
 2092. 
 
 268*8. 
 
 1100*. 
 591587. 
 
 15818. 
 117**8. 
 106*85. 
 3131. 
 
 20*71, 
 
 *91 156. 
 1750. 
 
 -0. 
 5392. 
 *T92, 
 205162. 
 71111*. 
 7657*. 
 516**. 
 
 • 07. 
 1*106. 
 
 18*1. 
 55309, 
 *05B«. 
 
TULC B 3 eoDttnued 
 
 5 IB 
 S 19 
 S 20 
 S 21 
 
 Net timde 
 
 S 27 
 
 s 39 
 S 30 
 
 Poultry and eg8> 
 Fui> 4Klry proilurti 
 Pood »nd reed iiminB 
 
 KLiceLiAneoua «srlculture 
 Qnln Kill products 
 
 poultry process in« 
 □airy products 
 
 CmniJie, preservlna, rmting 
 
 ^llaneous sigrl. processln* 
 Ch«ilc«lB uid rertlHters 
 FvtroleuB 
 
 Fabricated wtals Mid oaclilnery 
 AlrcnXt uid p4rt* 
 
 Othvr ■vufacturlne 
 
 irtUUlef 
 
 3*l«cted serrlces 
 
 ttste uid trwiaportatloD 
 
 Scraji and by-products 
 net tr»de frOB outside 
 Ifclntenanc* «in struct lor 
 Jlev construct loo 
 Uousebolda ■ 
 
 ftjilji^fl and products 
 Poultry uid egsE 
 
 dairy product! 
 and feed cr*liu 
 
 Ktscellancoua asrlculture 
 Cimlii mlU product! 
 Hsat ud poultry pn}ce»»lne 
 Ikliy producta 
 
 OwilbSf prcaervLog, frcevlns 
 (Cicellaaeoua aerl. processing 
 
 TBbrlcatcd Mtal* and Buh 
 
 Aircraft and p«^a 
 
 Prlakiy aetals 
 
 Otber BamifacturlUB 
 
 Idnlce 
 
 DtmtleH 
 
 Salectad aerrlc*! 
 
 Trad* and tranaportatloo 
 
 UnrUorated 
 
 122»». 
 SO. 
 IIBIOO. 
 11T20. 
 
 2»S5. 
 371T2. 
 
 VI. 
 ■61. 
 
 IblOO. 
 
 b4bS. 
 
 1T2V1. 
 I122U. 
 
 1712. 
 •>2U' 
 
 14444. 
 V6769. 
 
 Iia41. 
 
 13917. 
 100999. 
 J24701. 
 
 21t4|. 
 I70IBI. 
 87575. 
 
 4iia7». 
 
 66T. 
 
 i)95. 
 101107. 
 1S289. 
 12684. 
 
 251S. 
 68722. 
 1527. 
 122111. 
 117874. 
 221171. 
 «0}4p;. 
 
 67. 
 19a26. 
 475. 
 461. 
 4249. 
 12644. 
 10S92. 
 85704. 
 84920. 
 10124. 
 141926. 
 
 9945. 
 111912. 
 124779. 
 311200. 
 1190121. 
 
 2119. 
 lOrai. 
 I7aa. 
 
 14829. 
 18929. 
 12444. 
 16S14. 
 -0. 
 
 5*101. 
 25)77. 
 71511. 
 
 -0. 
 21775. 
 60961. 
 10155. 
 1946. 
 
 laiai. 
 iiioai. 
 
 14128. 
 
 29800. 
 62042. 
 441613. 
 
 -0. 
 123100. 
 197510. 
 4500. 
 10946. 
 3969. 
 411268. 
 2)5535. 
 
 949. 
 41TI. 
 2628. 
 7142. 
 49)5. 
 )2752. 
 1417). 
 81260. 
 -0. 
 
 12521. 
 41710. 
 I4)e9. 
 57277. 
 1)5068. 
 
 21152. 
 )12)6). 
 115829. 
 1*1596. 
 
 2D1B. 
 1019. 
 141 », 
 196). 
 
 -0. 
 
 -0. 
 i;14995. 
 -362 41. - 
 
 -64sa. 
 
 -581. 
 -1558. 
 
 Scrap and by-products 
 Ret trade vltb outildit 
 lUntcnaoce coctstructlon 
 Bw construct l<n 
 
 26271. 
 109170. 
 1295. 
 
 6717. 
 411570. 
 52T9. 
 
 6416. 
 94992. 
 18113. 
 
 5818. 
 119106. 
 102*37. 
 
 859S0. 
 )2>917. 
 578767, 
 1)46278. 
 
 I291B. 
 65569. 
 176602. 
 )2470SO. 
 
 1)6161. 
 44 79, 
 22)96. 
 
 -0. 
 12))f. 
 
 560)65! 
 lODO*. 
 2720f6. 
 70L611. 
 24S5B). 
 411198. 
 708*5). 
 26)8. 
 
 aoi. 
 
 118716). 
 162*2. 
 *96001. 
 1099086. 
 )7549)8. 
 4717807. 
 
 */ heh aMir Han tte ymlim of «Mda aod wtrlsM wo^a^i Iqr OHlfomia or 3. Callfoitd* amctor Itrtad at tht l*ft that a 
 b/ aoM aod rov taUtlt dc not add op txactlr Am 
 
 t I. California or s. CHifomla aactov Ilatad at tba t 
 
Technical Coefficients 
 
 Table B-4 presents the direct requirements per dollar of output in the 
 combined North-South California economy and corresponds to Equation (B-2a) - 
 (B-2d) . 
 
 Direct and Indirect Coefficients 
 
 Table B-5 shows direct and indirect requirements (inverse coefficients) 
 per dollar of final demand for each of the sectors in the North-South Cali- 
 fornia economy. 
 
 -86- 
 
Direct RequlrcKnts Par Ddllu of Output, (torltiem C»lironil« •nd Soulhem Callf-irult. lyitl-S/ 
 
 N IB 
 II 19 
 
 N 20 
 M 21 
 
 ) t n 
 
 Sector title 
 
 Heat anlsKlE una products 
 Poultrj 
 
 farm dairy pi-oducts 
 Food and fped grains 
 Cotton 
 Vegetables 
 Fruit (eicluiUng 
 Cltnia 
 
 HlBcellaneoua Berieulture 
 
 Grain olLl products 
 
 lifcat and poiatry procoali 
 
 IMlry productE 
 
 Canning, p««rvliie. freei 
 
 Fabricated netals and db 
 
 Prloajy netals 
 Other aanuTacturlng 
 Hlnine 
 
 Selected services 
 
 Trade and traneportatior 
 
 unallocated 
 
 PouJtry 
 
 j.oocaoo 
 
 .OOCCCO 
 t6* 
 
 (.000000 
 
 I.OOOOOO 
 ).OtirQ30 
 
 1.001261 
 
 (.000000 
 l.OOODl 
 J.O0»0T7 
 KOOUOOO 
 
 ,000000 
 ).000l^0D 
 ,.000000 
 
 ). 000000 
 J. 0000Tb 
 
 ;.oo*'OB 
 
 3.C0O300 
 
 Fan 
 dairy 
 
 KOOOODO 
 J.OOOOOO 
 I.OOOPOO 
 
 i. DOOOOO 
 1.000000 
 100000 
 1.000000 
 
 I.OOOOOO 
 1.000000 
 l.0>J3>5 
 000000 
 1.000000 
 1.000300 
 1.000000 
 1.000000 
 
 I.06T605 
 ). 000000 
 
 ).D403bZ 
 
 ).oe]ir6 
 
 .000000 
 .000000 
 ]. 000000 
 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 I.OOOOOO 
 1.000000 
 ).QO0OO0 
 I.OiOlOt 
 OOOOOO 
 .000000 
 ). OOOOOO 
 1.000000 
 I.OOOOOO 
 ).0J551* 
 019599 
 ). 0261 IT 
 1.000000 
 ).0000bi 
 ].019n8 
 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 I.OSZHll 
 0315 JT 
 
 ,000000 
 ,000000 
 1.000000 
 1.000000 
 
 I.OOOOOO 
 I.OOOOOO 
 031 TBS 
 015**0 
 1. 020569 
 I.OOOOOO 
 >.0OO0 5 3 
 
 1.000000 
 l.03*9*S 
 ]. OOOOOO 
 I.OOOOOO 
 1.000000 
 ). OOOOOO 
 1.000000 
 
 1.039060 
 1.000000 
 1.00002* 
 
 0000*S 
 
 105152 
 1.00005* 
 
 I.OObOOO 
 KOOOOOD 
 .029801 
 1.00226 
 
 1.2923)1 
 051222 
 1.000000 
 J.OOQOOO 
 1000 
 I.OOOOOO 
 
 cocooo 
 
 I.OOOOOO 
 I0&O3C 
 I.0OCG35 
 OOOOOO 
 
 1.000*58 
 1.005*91 
 1.029637 
 1.0S13bl 
 
 1.000000 
 1.000000 
 I.OOOOOO 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000000 
 ). 000*52 
 
 1.000000 
 1.00000* 
 1.000000 
 1.000000 
 l.OuOOOO 
 
 1.090102 
 1.000000 
 oici; 
 
 1.0*3305 
 
 1.000000 
 1.001*13 
 1.000000 
 
 1.0)7131 
 1.010602 
 1.00*322 
 0036*1 
 087232 
 01691 7 
 1.000000 
 1.01561S 
 1.000000 
 00062 7 
 01*561 
 000IO8 
 1.0059*5 
 1.00**59 
 I. 203017 
 I.05215S 
 
 1.000000 
 1.000000 
 I.OOOOOO 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 I.0OO12S 
 1.000000 
 
 1.006692 
 I01B3* 
 1.002397 
 ). 000698 
 1.000158 
 
 IB65* 
 
 I , OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 l.OOOUOO 
 I.OOOOOO 
 I.OOOOOO 
 I.OOOOOO 
 1.0003)8 
 1.018*12 
 >. •53*99 
 1.D15558 
 1.000000 
 1. 000)17 
 1.00*1** 
 1.012506 
 1.012B55 
 1.002BIZ 
 ). 0*6)00 
 }.082B5T 
 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 
 1. 000009 
 007)65 
 03*01 
 .1*2916 
 
 I.00B164 
 1.0026*6 
 1.0*9)31 
 0 3S36T 
 
 -O.OOOOOO 
 •0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 0.001)2B 
 0.00115) 
 0.0*5*58 
 0.0)002) 
 0.02)*5* 
 0.011*97 
 0.000121 
 0.0052*1 
 0.001061 
 0.0I55S5 
 0.0097B2 
 
 3 13 
 S lb 
 S 15 
 
 S 16 
 S IT 
 
 ftmltry and egps 
 Fan dairy product! 
 
 Vegetal) 1»« 
 
 Fnilt (excluding citrus) 6 
 
 mseellanoouB agriculture 
 Grain mill products 
 Heat and poultry proceasin 
 Dairy products 
 
 Canning, preserving, freeilog 
 ■ agrl. proci 
 
 ing 
 
 Alrcr»Jt and parts 
 
 Priory aetala 
 
 Other aanufacturlng 
 
 laning 
 
 Utilities 
 
 Selected services 
 
 Trade and trani|>ortatlor 
 
 1.000000 
 1.000000 
 i.OCJOOO 
 I.OOOOOO 
 
 i.oocaoo 
 
 1.00UU30 
 ..OOOOOO 
 l.OOLOOO 
 l.OOCOOO 
 1.00UB06 
 l-OOI/OOD 
 l.OOCOOO 
 1.000000 
 1.001,000 
 I.OOOOOO 
 l.OOCOOO 
 1.000000 
 J.OOCODO 
 J.OOUCOO 
 3.000000 
 1.000000 
 3.000000 
 3.000000 
 102*5 
 
 1.00033D 
 
 ^.ooocoo 
 
 1.000000 
 OOOOOO 
 1.000000 
 I.OOOOOO 
 l.OOOCJO 
 I.OOOOOO 
 3.000000 
 
 OOOOOO 
 
 :. OOOOOO 
 
 I.OOOOOO 
 l.OOOOOC 
 1.000000 
 1.000000 
 
 .Dooroo 
 
 I.OOOOOO 
 ,000000 
 ,000000 
 
 1.000000 
 
 1.000000 
 1.000000 
 1.000000 
 
 1.00093B 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 3.000000 
 3.000000 
 3.000000 
 3.000000 
 100000 
 I.OOOOOO 
 
 I.OOOOOO 
 1.000900 
 1.000000 
 1.000000 
 I.OOOOOO 
 3. OOOOOO 
 3.000000 
 3. OOOOOO 
 3.000000 
 3.000000 
 3.000000 
 3. OOOOOO 
 
 OOOOOO 
 1.000000 
 100000 
 1.000000 
 I.OOOOOO 
 OOOOOO 
 OOOOOO 
 I. OOOOOO 
 OOOOOO 
 015)37 
 OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 OOOOOO 
 
 1.00051 
 
 1.000000 
 OOOOOO 
 I.OOOOOO 
 OOOOOO 
 1.000000 
 OOOOOO 
 100000 
 I.OOOOOO 
 I.OOOOOO 
 .957 
 1.000000 
 1.000000 
 1.000000 
 }. OOOOOO 
 3.000000 
 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 
 oao2*B 
 
 1.000172 
 1.000000 
 
 I.OOOOOO 
 1.000000 
 1.000000 
 100000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 
 I.OOOOOO 
 1.000000 
 1.000000 
 I.OOOOOO 
 3.000000 
 1000 
 I.OOOOOO 
 
 1.000000 
 1.000000 
 1.000000 
 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.002992 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 ). OOOOOO 
 3. OOOOOO 
 
 3. OOOOOO 
 3.000000 
 1.000000 
 3.000000 
 3.000000 
 
 o.oooooo 
 
 D.OOOIBT 
 9.000107 
 9.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 
 0. 00*852 
 
 -o.oooooo 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0-000000 
 0.000238 
 0.000177 
 -0.000000 
 
 1.000000 
 1.000000 
 100000 
 
 I.OOOOOO 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 OOOOOO 
 OOOOOO 
 I. OOOOOO 
 1.000000 
 .000000 
 OOOOOO 
 1.000000 
 1.000000 
 1.000151 
 1.0001*9 
 1.000000 
 
 1.000030 
 1. OOOOOO 
 1.000000 
 1.000000 
 l.OOCOOO 
 I.OOOOOO 
 1.000000 
 l.OOJOOO 
 1.000030 
 1.000000 
 1.000000 
 l.OCOOOO 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000090 
 1.000)82 
 1.000000 
 
 •0.000000 
 •0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 
 •o.ocoooo 
 
 •0.000000 
 •0.000000 
 
 -o.oooooo 
 
 D. 000005 
 -0.000000 
 
 • o.ooc 
 
 300 
 
 -o.oooooc 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 3.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000268 
 1.000688 
 1.000000 
 
 1.000000 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.00*265 
 1.000000 
 1.000000 
 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000151 
 1.000680 
 I.OOOOOO 
 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.0011*6 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 3.000000 
 1.000000 
 1.000000 
 1.0001)7 
 }.001655 
 1.000000 
 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000910 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.0000*1 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.0002*2 
 >. 000788 
 1.000000 
 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 I.OOOOOO 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 3.000086 
 ). 000171 
 3.000000 
 
 I.OOOOOO 
 1.000000 
 1.000000 
 I.OOOOOO 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 1.000000 
 3.000000 
 1.000000 
 1.000000 
 1.000000 
 3.00*162 
 3.000000 
 3.000000 
 3.000000 
 3.000000 
 3.000081 
 3.000*02 
 1.000000 
 
 r^, 
 
 -o.oooooo 
 -o.oooooo 
 -o.oooooo 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 -a^oooooo 
 
 -0.000000 
 -0.000000 
 -0. OOOOOO 
 -O.OpDOOO. 
 
 -O.OOOOOO 
 -0.000000 
 •0.000000 
 -0.000000 
 0.00002* 
 0.000121 
 -0.000000 
 
 r S. Callfoipla ttcXor lii^ed at tte top per dollar of output of t 
 
S 12 
 
 S 13 
 
 S )<> 
 
 a 15 
 
 Mi«cell«neou» »Brlcult 
 
 lfe*t and puulrr/ procr 
 D«lry proouct. 
 Cannlne, preurvlng, 1 
 Klicell*nBou> kgrt pt 
 CtmcKlt «nd fertlll) 
 
 Gnln Bill prwuctt 
 N>*i »4iJ poultrx proi 
 telry proaurtt 
 Cuinirg, prsMrvinji, 
 HUcellBiwoui »erl f 
 cnuu^ali ud rertiii 
 FetroletiB 
 
 pki.rlc»tea aetalB uiQ 
 AlrcraTt oiu parts 
 PrlBBrr aeUlI 
 Otl»r KnuTafturlne 
 
 ■o.oaoDoo 
 
 ■o.ooaooD 
 
 -0.000000 
 ■0.000000 
 -0.000000 
 ■0.000000 
 ■0.000000 
 ■0.000000 
 ■0.000000 
 ■0.000000 
 -0.000000 
 ■0.000000 
 0.000000 
 -0.000001 
 O.OOOl 
 0.00(TS< 
 O.OOM^i 
 O.OlltB' 
 
 0.00001 : 
 
 0.L6T90I 
 
 0.0121 
 
 0.09I3B' 
 
 0.0I« 
 
 0.00} 
 
 0.0I4S4' 
 
 0.021691 
 
 00001 1 
 
 300000 
 OOOOSQ 
 000000 
 
 oooooo 
 
 OOObSl 
 DOCbO] 
 000*18 
 
 Dooo;; 
 
 OOOOiB 
 000 )9a 
 
 OOOOOO 
 
 oooooo 
 
 OOOOOO 
 
 oooooo 
 
 .000000 
 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 
 oooooo -a. 
 
 OBb!\0 
 
 OiSlis 
 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oocooo 
 oooooo 
 oooooo 
 oooooo 
 oocooo 
 
 001 
 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 
 000010 
 
 oooooo 
 oooooo 
 oooooo 
 oosot^ 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 oooooo 
 
 -0. oooooo 
 
 -0.000000 
 
 ■0. oooooo 
 
 ■0.000000 
 -0.000000 
 ■O.OOOOOD 
 -0.000000 
 ■0.000000 
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 0.000111 
 O.OOObOB 
 
 oooooo 
 
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 000090 
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 -0.000000 
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 -0. oooooo 
 
 -0.000000 
 0.001691 
 -0.000000 
 -0.000000 
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 -0.000000 
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 -0.000000 
 
 0.012S11 
 -0.000000 
 -0.000000 
 -0.000000 
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 0. IblBi; 
 
 0. 006616 
 
 0.1001 TO 
 -0.000000 
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 0.002S** 
 0.001217 
 0.021181 
 -0.000000 
 0.000118 
 0.001181 
 
 -0. oooooo 
 
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 0.06)980 
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 -0.000000 
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 -0.000000 
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 -0.000000 
 
 -0.000000 
 
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 -0.000000 
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 0.000000 
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 0.000000 
 0.000000 
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 -0.000000 
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 0. 002617 
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 0.I1202I 
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 -0.000000 
 
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 -0.000000 
 -0.000000 
 -0.000000 
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 -0.000000 
 
 -0. oooooo 
 
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 -0. OOOOOO 
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 -0. oooooo 
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 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -0. oooooo 
 
 -0.000000 
 
 -0. oooooo 
 
 -0.000000 
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 -0.000000 
 -0.000000 
 -0.000000 
 
 -0. oooooo 
 
 -0.000000 
 
 -0. oooooo 
 
 -0.000000 
 
 -0. oooooo 
 
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 -0. oooooo 
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 -0.000000 
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 -0. oooooo 
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 -0.000000 
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 -0.000000 
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 -0. oooooo 
 
 -0. oooooo 
 
 -0.000000 
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 -0. oooooo 
 
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 -0.000000 
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 -0. oooooo 
 
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 -0.000000 
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 -0.000000 
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 -0.000000 
 0.0107)2 
 -0.000000 
 -0.000000 
 
 -0. oooooo 
 
 -0.000000 
 0.001220 
 -0.000000 
 -0.000000 
 0.000011 
 0.000610 
 
 -o.ooaooo 
 
 -0.000000 
 
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 -0.000000 
 -0.000000 
 
 -0. oooooo 
 
 -0.000000 
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 -0.000000 
 
 -0.000000 
 0.009212 
 •0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 •0.000000 
 -0.000000 
 
 -o.aaoooo 
 
 -0.000000 
 -0.000000 
 0.D0026B 
 0.000529 
 -0.000000 
 -0.000000 
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 -o.ooooao 
 
 -0.0 00000 
 -0.000000 
 -0.000000 
 
 -o.ooaooo 
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 -D.OOOODI 
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 -0. oooooo 
 
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 D.D2*7B1 
 D.D1T257 
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 -0.000000 
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 •0. oooooo 
 
 0.128290 
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 0.01)110 
 •0.000000 
 -0.000000 
 •0.000000 
 -0.000000 
 0.000929 
 0.000*16 
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 -0. oooooo 
 
 0.0000)9 
 0.0a))27 
 -0.000000 
 
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 0.066)11 
 0.021167 
 
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 0*1296 
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 0000*1 
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 -0.000000 
 
 -0. ooocoo 
 
 -0,000000 
 
 -a, oocooo 
 
 0.002319 
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 •0,000000 
 -0.000000 
 
 -o.oonooo 
 
 0, 121S26 
 -0.000000 
 •0.000000 
 -0.000000 
 -O.OOCrOOD 
 -0. 003000 
 
 0. 021810 
 
 D.oiuai 
 
 0.01B**5 
 -0.000000 
 0.0000)1 
 0.00)322 
 
 o.ooc 
 
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 1.00*B79 
 
 •0,000000 
 •0.000000 
 •0.000000 
 
 -O.OOOOOD 
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 -O.OOOOOD 
 0.000062 
 0.02110* 
 0.000101 
 0.0019S7 
 D,008)9t 
 0,021 169 
 0.0*1209 
 
 -0.000000 
 
 -0. oooooo 
 
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 -0,000000 
 
 -0. oooooo 
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 0.02SB)0 
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 •0.000000 
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 -o.ooaooo 
 
 D.0S9150 
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 -0.000300 
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 -0.000300 
 -0.000300 
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 0.0)1810 
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 -0. oooooo 
 
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 -0,000000 
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 -0.000000 
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 -0.000000 
 
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 -0.000000 
 0.000*9 3 
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 -0.000000 
 0.008977 
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 •0.000000 
 
 0,0121)0 
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 0.018217 
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 0.0000*1 
 0.0D611S 
 0.000017 
 0.007776 
 0.00102* 
 
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 -0.000000 
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 -0.000000 
 0.069661 
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 -0. oooooo 
 
 •0.000000 
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 O.D019B* 
 -0,000000 
 0.009114 
 0.001610 
 0,002171 
 •0.000000 
 0.0*2)60 
 0.0260B1 
 0.002174 
 0.OOS7O1 
 -0.000000 
 -0.000000 
 0,0^794) 
 0. 002271 
 0.0012)6 
 0.002997 
 0.0*7181 
 0.026002 
 
 o.ia>«t9 
 
 0.0*172) 
 -O.OOOOQO 
 
 -0 -oooooo 
 
 -0.000000 
 -0.000000 
 •0.000000 
 •0.000000 
 -0.000000 
 
 0.000041 
 •0.000000 
 
 0.01)917 
 
 o.oo20*a 
 
 -0.000000 
 -0.000000 
 
 o.ooiaii 
 
 0.001984 
 0.005)31 
 
 -0. oooooo 
 
 0.000019 
 0.00*0)9 
 0.00045S 
 0.00*199 
 0.0)0941 
 
 o.oiirra 
 
 0.096214 
 
I 
 
 so 
 
 I 
 
 ■ 1) 
 
 II Ik 
 
 ■ 15 
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 ■ 17 
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 ■ 19 
 M 20 
 
 a la 
 
 B 13 
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 9 15 
 B 16 
 
 a n 
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 a 19 
 s 20 
 S 21 
 S 22 
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 FUa Miry product! 
 food uul fMd grains 
 
 fruit (•icludloa cllru.) k a 
 Cllrui 
 
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 Onla Bill product* 
 Ikmt ud poultry proceaalng 
 n»lr> product! 
 
 CaanlDs, prcurrlnc, fr«Eln 
 HlBfelluieou* >srl procetil 
 Clio«lf»H md fertllliers 
 Petrolei« 
 
 PMrlcBted Mtada and MCblc 
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 Ml aloe 
 UtllltK* 
 
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 traaaportAtion 
 
 H»at aalml* and produ 
 poultrjr and *u* 
 Farm dairy product* 
 Food and feed Bi«lDa 
 
 «*ce* 
 
 -O.OOOOSD 
 -O.MttOOO 
 
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 ry -O.OOOMO 
 
 -O.OOOMO 
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 Mat aod poultry proca**lQ< 
 
 t»lry product* 
 
 Cwmlng, preearrtm. frMiIog 
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 Petrolaua 
 
 Tabricated aatala aod aa 
 «rci»ft and parta 
 Prlaary Mtala 
 Otber aasufacturloa 
 
 NlDlD« 
 
 Utllltle* 
 
 Trade and tr«ii*portatloii 
 UDallocated 
 
 '0.000000 
 -0.000000 
 
 ^inflow 
 
 0.0000*1 
 0.00II29 
 -0.000000 
 
 -e.oooooo 
 -a. 0000 00 
 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 -e.oooooo 
 
 -0.000000 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -0.000000 
 O.OOOifl 
 -0.000000 
 O.OO0U4 
 -0.000000 
 •0.000000 
 O.bl90I« 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 0.000062 
 O.OOOSll 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 •0.000000 
 
 -o.oooooo 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
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 -o.oooooo 
 
 D.00092T 
 -0.000000 
 -0.000000 
 
 0.005T1T 
 -0.000000 
 -0.000000 
 
 0.02SaOT 
 
 O.OITsll 
 
 o.oosm 
 
 0.003)1S 
 0.003A*} 
 
 o.osrsas 
 
 0.0190fi3 
 -0.000000 
 
 0.01996* 
 -0.000000 
 
 o.oooseo 
 
 o.om*2 
 
 O.OOOTO* 
 0.00*606 
 0.00*996 
 
 o.20*6n 
 
 0.0613S6 
 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 •0.000000 
 -0.000000 
 0.00004T 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -0.000000 
 
 0.00001* 
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 -0.000000 
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 •0.000000 
 -0.000000 
 -0.000000 
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 -0.000000 
 
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 -0.000000 
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 -0.000000 
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 -o.oooooo 
 
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 0.00002B 
 -0.000000 
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 0.00T621 
 
 0.001}6S 
 
 0.0019)1 
 O.OOOS*2 
 O.O0OJ59 
 0.022T13 
 O.IIOIT* 
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 0.0200*4 
 0.0000*6 
 
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 0.008)3* 
 0.01095T 
 
 o.o oai62 
 
 0.0*7499 
 0.0T466* 
 
 -o.oooooo. 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -0.600000 
 •0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 •0.000000 
 -0.000000 
 •0.000000 
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 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
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 -0.000000 
 -0.000000 
 -0.000000 
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 -0.000000 
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 -o.oooooo 
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 -O.DDDDQD 
 -0.000000 
 -0.000000 
 •0.000000 
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 0.020740 
 0.*J3«00 
 0.019907 
 
 -O.ODOOOO 
 
 0.00029* 
 0.00$2T6 
 0.0tIM6 
 0.0099*9 
 0.002090 
 
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 0.097*70 
 
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 -0.000000 
 
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 -0.000000 
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 -0.000000 
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 -0.000000 
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 -0.000000 
 
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 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 '0.000000 
 
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 -0.000000 
 
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 -0.000000 
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 -0.000000 
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 •0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 •0.000000 
 
 -0.000000 
 
 -0.000000 
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 -0.000000 
 -0.000000 
 -0.000000 
 
 -0.000000 
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 -0.000000 
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 -0.000000 
 
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 •0. ODOOOO 
 -0.000000 
 
 -O.OOOMO 
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 -0.000000 
 -0.000000 
 
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 -0.000000 
 -0.000000 
 
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 -0.000000 
 -0.000000 
 -0.000000 
 
 -0.000000 
 -0.000000 
 -0.000000 
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 -o.oooooo 
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 -0.000000 
 -0.000000 
 
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 -0.000000 
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 -0.000000 
 
 -0.000000 
 -0.000000 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -ff. ODDDOO 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 
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 -0.000000 
 -0.000000 
 -0.000000 
 
 -O.OOSOOL 
 
 -0.000000 
 
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 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 -S.080iJ« 
 
 0. 000002 
 
 0.000009 
 -0.000000 
 -0.000000 
 -0.000000 
 
 ^: 000000 
 
 -0.000000 
 -0.000000 
 -0 . 000000 
 
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 -0.00600Q 
 -0.000000 
 
 •o.oooooo 
 
 •0.000000 
 
 -o.oooooo 
 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 
 -0.000000 
 -0.000000 
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 -0.000000 
 
 -0.000000 
 
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 -0.000000 
 
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 -0.000000 
 -0.000000 
 -0.000000 
 
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 -0.000000 
 -0.000000 
 -0.000000 
 
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 -0.000000 
 
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 -0.000000 
 
 -0.000000 
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 -0.000000 
 
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 -0.000000 
 
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 -0.000000 
 
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 -0.000000 
 
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 -0.000000 
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 -0. 000000 
 
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 -0.000000 
 -0.000000 
 
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 •0. 0000 00 
 
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 -0.000000 
 
 -o.oooooo 
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 -0.000000 
 
 -0.000000 
 
 -a.ooDooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 -0.000000 
 •0.000000 
 
 0.000000 
 0.000006 
 -0.000000 
 •0.000000 
 -O.OOOMO 
 
 •0.000000 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.090000 
 -0.000000 
 -0.000000 
 -0.000000 
 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0.000000 
 0.000001 
 0.000021 
 -0.000000 
 -0.000000 
 
 -o. ooooo o 
 -0.000000 
 -o.oooooo 
 
 -0.000000 
 
 •o.oooooo 
 •o.oooooo 
 
 -0.000000 
 -a.ODODOD 
 -0.000000 
 -O.OOOOOD 
 -0.000000 
 
 -0.000000 
 -0.000000 
 
 -0.000000 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 
 -o.oooooo 
 
 -0.000000 
 -0.000000 
 -0 .000000 
 -0.000000 
 0.000017 
 O.DDOOU 
 -0.000000 
 -O.DDDOOD 
 
 -o.oooooo 
 ~Q .1^99000 
 
 -0.000000 
 
 -0.000000 
 
 -0.000000 
 -0.000000 
 -0.0 0000 0 
 
 -O.TJW5000 
 •0.000000 
 
 -o.oooooo 
 
 -0.000000 
 
TABU! 
 
 Direct ud Indlract R»qulr«Mnti Per OoHat of Final Dawunl, northern C^Uromla sal Touttiern Zalltonlt., 19S.W 
 
 
 
 II 1 
 
 
 ll ? 
 
 
 
 H 1. 
 
 
 
 
 
 
 dairy 
 
 
 
 
 Sector title 
 
 
 
 eggs 
 
 
 
 
 
 >teat anljBKls products 
 
 
 out i 18 
 
 0 
 
 000**) 3 
 
 OOCl 75 
 
 0 
 
 .0001 ri 
 
 B £ 
 
 ftjultry ud egg! 
 
 J 
 
 
 1 
 
 ;ib*sT 0 
 
 000051 
 
 0 
 
 1000*0 
 
 » 3 
 
 Fan dUiy products 
 
 
 
 c 
 
 ooLftri 1 
 
 028*05 
 
 
 .OOi-^ 1* 
 
 M l* 
 N 5 
 
 flxxl end feed fnliu! 
 
 3 
 
 1 '90 79 
 
 D 
 0 
 
 25H»19 0 
 (.0033* u 
 
 105220 
 00 3002 
 
 : 
 
 .0*1*07 
 .000001 
 
 
 Vegetables 
 
 Q 
 
 OOPJOT 
 
 0 
 
 0J0015 0 
 
 000005 
 
 0 
 
 000005 
 
 
 Fruit (acludliv citrus) 1 nuts 
 
 0 
 
 ooc ja« 
 
 0 
 
 oooni 0 
 
 000210 
 
 
 .300072 
 
 
 
 
 003001 
 
 
 OOOOTI J 
 
 OOfOOO 
 
 c 
 
 DOUOOO 
 
 
 
 
 
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 oooooo 0 
 
 oooooo 
 
 
 000300 
 
 
 oooooo 
 
 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 
 OG 0000 
 
 0 
 
 oooooo 
 
 B U 
 
 B 
 
 MlieeLluicoui a^ri. prorrtslnti 
 
 0 
 
 001 '5ft 0 
 
 000*96 
 
 
 
 
 000026 r 
 
 000002 
 
 
 ODCOOl 
 
 
 OOOOOO 0 
 
 OOOOOl 
 
 
 OOOOO ) 
 
 
 OOOOO t 
 
 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 
 OOOOO* 
 
 
 OOOOO) 
 
 n 15 
 
 
 CbaUcftl* and fertllliers 
 
 
 0021HS 0 
 
 009070 
 
 
 
 
 COQCf* 0 
 
 000005 
 
 0 
 
 000002 
 
 
 OOOOOl 0 
 
 OOOOO i 
 
 
 000006 
 
 
 000002 
 
 0 
 
 OOOOOl 
 
 
 OOOOO) 
 
 
 
 0 
 
 000007 
 
 N li] 
 
 B IT 
 
 PctroleuB 
 
 0 
 
 002881 3 
 
 ooso*e 
 
 0 
 
 001*38 
 
 0 
 
 000372 3 
 
 030005 
 
 J 
 
 OO0J02 
 
 
 300001 0 
 
 000002 
 
 
 00 0 0 0 7 
 
 
 000002 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOO) 
 
 
 OO.iOO* 
 
 0 
 
 000009 
 
 N 17 
 B IS 
 
 
 J»ibrlc»t«d Bet*lK and BBchlnery 
 
 
 002995 0 
 
 006867 
 
 
 
 
 0OJ065 J 
 
 OOOJOi 
 
 0 
 
 ooOuj; 
 
 
 OOOOOl 3 
 
 0O0UO2 
 
 
 000006 
 
 
 000002 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOO) 
 
 
 OOOOO* 
 
 0 
 
 000009 
 
 B 19 
 
 Aircraft and partT^ 
 
 D 
 
 000030 3 
 
 000062 
 
 
 OOOOll 
 
 
 OOCOOl 0 
 
 oinooo 
 
 0 
 
 OOOjOO 
 
 
 oooooo 0 
 
 
 3 
 
 ooouoo 
 
 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 0 
 
 OOk 000 
 
 0 
 
 oooooo 
 
 N 19 
 
 a 20 
 
 Prlaary wtaJ.a 
 
 0 
 
 OaO*T4 0 
 
 ooii*r 
 
 0 
 
 0OO203 
 
 0 
 
 00^:^11 c 
 
 000301 
 
 
 OOOOOO 
 
 0 
 
 oooooo 0 
 
 oooooo 
 
 
 OOOOOl 
 
 0 
 
 oooooo 
 
 
 OOOOOO 
 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 0 
 
 OOOOOl 
 
 B 20 
 
 B 21 
 
 Other BUaifacturlne 
 
 0 
 
 001*85 3 
 
 00*87} 
 
 
 001852 
 
 
 0003*6 3 
 
 30000) 
 
 0 
 
 jOOOOt 
 
 
 oooooo 3 
 
 003032 
 
 
 OOOOO* 
 
 
 OOOOOL 
 
 0 
 
 OOOUOl 
 
 0 
 
 000002 
 
 0 
 
 OOOOO) 
 
 0 
 
 000005 
 
 » 21 
 
 N » 
 
 
 0 
 
 000159 0 
 
 O0O39; 
 
 
 Otlu0 7a 
 
 C 
 
 OOCOl* 3 
 
 OObOOO 
 
 J 
 
 OOUOOO 
 
 
 oooooo 0 
 
 oooooo 
 
 0 
 
 oooooo 
 
 
 oooooo 
 
 
 oooooo 
 
 0 
 
 oooooo 
 
 
 OOL'dOD 
 
 0 
 
 oooooo 
 
 B 22 
 
 ■ 23 
 
 
 0 
 
 000958 0 
 
 00271 7 
 
 0 
 
 00C*S1 
 
 
 &0-327 0 
 
 000002 
 
 
 OOOOOl 
 
 
 oooooo 0 
 
 000301 
 
 
 000002 
 
 0 
 
 OOOOOl 
 
 p 
 
 oooooo 
 
 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 OOOOO) 
 
 " 23 
 
 H 21 
 
 9eleeted aerrlcea 
 
 0 
 
 000e»2 3 
 
 0D2O9* 
 
 0 
 
 OUI-J77 
 
 3 
 
 00(jC22 0 
 
 oojoo; 
 
 0 
 
 000301 
 
 0 
 
 300000 3 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 OOOOOl 
 
 0 
 
 oooooo 
 
 0 
 
 OOOOOl 
 
 0 
 
 000002 
 
 0 
 
 000003 
 
 B 2k 
 
 » 25 
 
 Trmda ud traniportatlon 
 
 0 
 
 00*r5] 3 
 
 OOftl 76 
 
 
 0012*1 
 
 0 
 
 00039* 0 
 
 QObOoa 
 
 0 
 
 OOOCiCl 
 
 0 
 
 OOOOOl 0 
 
 OOOOO* 
 
 
 000010 
 
 0 
 
 000003 
 
 0 
 
 000002 
 
 
 OOOOOft 
 
 0 
 
 00:010 
 
 0 
 
 OOCrOU 
 
 n 25 
 
 N ?6 
 
 Uikllaeated 
 
 0 
 
 005200 3 
 
 007511" 
 
 0 
 
 001**5 
 
 0 
 
 0 00 09 7 -J 
 
 000300 
 
 
 000301 
 
 0 
 
 OOOOOl 0 
 
 OOOOO* 
 
 D 
 
 000010 
 
 0 
 
 000003 
 
 0 
 
 000002 
 
 0 
 
 000006 
 
 
 OOuooa 
 
 0 
 
 000015 
 
 H 26 
 
 S 1 
 
 Itoat anljada wid products 
 
 0 
 
 000185 0 
 
 0012ft7 
 
 J 
 
 001B2* 
 
 
 U1J0S96 0 
 
 oeoi )* 
 
 0 
 
 000057 
 
 0 
 
 000020 0 
 
 00005* 
 
 
 oooisr 
 
 0 
 
 000057 
 
 0 
 
 000059 
 
 0 
 
 00012) 
 
 0 
 
 00012) 
 
 
 000525 
 
 S 1 
 
 5 S 
 
 PoulU^ and egga 
 
 0 
 
 0001 >2 0 
 
 000396 
 
 0 
 
 001915 
 
 0 
 
 0&U230 0 
 
 0003 18 
 
 0 
 
 OOOJlft 
 
 0 
 
 OOOOOb 3 
 
 000015 
 
 0 
 
 0000*2 
 
 0 
 
 000016 
 
 0 
 
 000016 
 
 0 
 
 00003) 
 
 0 
 
 0000)) 
 
 0 
 
 0001*1 
 
 
 S 3 
 
 Fv* dairy product! 
 
 0 
 
 ttOlb* 0 
 
 002100 
 
 
 001516 
 
 0 
 
 OOC)** U 
 
 000026 
 
 0 
 
 OOObl 2 
 
 0 
 
 00000* 0 
 
 00001* 
 
 
 00003* 
 
 0 
 
 000012 
 
 0 
 
 000006 
 
 0 
 
 00002) 
 
 0 
 
 000055 
 
 0 
 
 O000)ft 
 
 s 3 
 
 S l> 
 
 Food and feed giaina 
 
 
 00952* 3 
 
 000538 
 
 0 
 
 00)31* 
 
 0 
 
 00v261 
 
 000019 
 
 Q 
 
 
 0 
 
 000002 0 
 
 000008 
 
 
 000021 
 
 0 
 
 000008 
 
 0 
 
 OOOOO* 
 
 0 
 
 000010 
 
 0 
 
 000010 
 
 0 
 
 0000)3 
 
 
 S 5 
 
 
 0 
 
 000009 0 
 
 000013 
 
 
 OQCOOCi 
 
 0 
 
 000009 J 
 
 30300* 
 
 0 
 
 000009 
 
 0 
 
 OOOOO* 0 
 
 000006 
 
 0 
 
 000171 
 
 
 000009 
 
 0 
 
 000005 
 
 0 
 
 003010 
 
 0 
 
 OOOOO* 
 
 0 
 
 000008 
 
 S 5 
 
 S 6 
 
 ftSBtable* 
 
 
 000028 3 
 
 107828 
 
 0 
 
 00^*2) 
 
 
 COC06* 3 
 
 000306 
 
 0 
 
 000003 
 
 
 OOOOOl 0 
 
 
 3 
 
 000009 
 
 
 OOOOO) 
 
 0 
 
 OOOOCl 
 
 0 
 
 
 0 
 
 00301) 
 
 0 
 
 OOOOOB 
 
 S 6 
 
 S T 
 
 S 8 
 
 Prult (excludioe cltnis] i raite 
 Cltrua 
 
 0 
 0 
 
 000559 0 
 300003 0 
 
 
 0 
 
 0062 3* 
 OOJUIB 
 
 0 
 3 
 
 0002JT d 
 OObJOft 3 
 
 00001* 
 300301 
 
 0 
 0 
 
 0U0J05 
 OuCOOO 
 
 0 
 0 
 
 000002 3 
 
 oooooo 0 
 
 OOOCOft 
 OOOuOO 
 
 0 
 
 0OOU15 
 OOOOOl 
 
 0 
 0 
 
 000005 
 
 0 
 0 
 
 000002 
 
 0 
 3 
 
 000005 
 003000 
 
 0 
 0 
 
 000037 
 OOOOOl 
 
 0 
 0 
 
 000008 
 OOOOOl 
 
 s 7 
 s 8 
 
 3 9 
 
 
 0 
 
 05299ft 0 
 
 0009 1) 
 
 0 
 
 003955 
 
 0 
 
 00C261 3 
 
 0000)1 
 
 0 
 
 OOOvl* 
 
 0 
 
 000005 0 
 
 00031* 
 
 3 
 
 0000*6 
 
 
 00001* 
 
 D 
 
 00001 1 
 
 0 
 
 000026 
 
 3 
 
 003029 
 
 0 
 
 000096 
 
 3 9 
 
 3 10 
 
 KlaceUaiieou* agriculture 
 
 D 
 
 008ir8 0 
 
 0*6813 
 
 0 
 
 029*5; 
 
 
 011C20 3 
 
 000*96 
 
 0 
 
 000221 
 
 0 
 
 000076 0 
 
 0002)7 
 
 0 
 
 001529 
 
 
 00O'52 
 
 0 
 
 OOOOftl 
 
 0 
 
 0001 78 
 
 
 000071 
 
 0 
 
 0OC16I 
 
 3 10 
 
 E LI 
 
 (iralji Bill producta 
 
 0 
 
 032590 0 
 
 0050S2 
 
 0 
 
 0ID721 
 
 
 002 7 78 (j 
 
 00tl5) 
 
 0 
 
 000056 
 
 0 
 
 000018 3 
 
 OOOObft 
 
 0 
 
 000167 
 
 0 
 
 00006) 
 
 0 
 
 000021 
 
 0 
 
 000057 
 
 
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 0 
 
 0001 17 
 
 s u 
 
 S 12 
 
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 00130* 0 
 
 006892 
 
 u 
 
 0099 79 
 
 
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 000 729 
 
 
 000310 
 
 c 
 
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 0 
 
 000805 
 
 
 000309 
 
 
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 0 
 
 000669 
 
 
 00u66 7 
 
 3 
 
 00285ft 
 
 S 12 
 
 S 13 
 
 LBlry produetn 
 
 1 
 
 0(>r91T U 
 
 005*5J 
 
 0 
 
 00 )9>1 
 
 0 
 
 00:a?3 Q 
 
 oooofta 
 
 0 
 
 0000)2 
 
 
 DOOCll 3 
 
 0003)7 
 
 0 
 
 ooouafl 
 
 0 
 
 0000)1 
 
 
 000015 
 
 0 
 
 000059 
 
 0 
 
 0001*2 
 
 
 000091 
 
 s 13 
 
 S ll< 
 
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 0 
 
 ooo2e'> 1 
 
 01609* 
 
 0 
 
 30 19»l> 
 
 0 
 
 OOC'636 3 
 
 000052 
 
 0 
 
 00002ft 
 
 0 
 
 000009 0 
 
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 3 
 
 000080 
 
 
 00002* 
 
 0 
 
 000012 
 
 
 000051 
 
 0 
 
 00: 12b 
 
 0 
 
 000078 
 
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 0 
 
 OftO'ro 3 
 
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 0 
 
 000580 
 
 0 
 
 OOOIBO 0 
 
 000798 
 
 
 001837 
 
 0 
 
 000652 
 
 0 
 
 OOOlftft 
 
 0 
 
 000508 
 
 
 000)25 
 
 0 
 
 000879 
 
 s 15 
 
 S 16 
 
 Oieslcali and fertilLiera 
 
 0 
 
 038221 0 
 
 0*00*2 
 
 
 OHfti r 
 
 I 
 
 7 722bl 0 
 
 0522*5 
 
 0 
 
 019225 
 
 0 
 
 005801 3 
 
 022*30 
 
 0 
 
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 0 
 
 022929 
 
 0 
 
 00))*i 
 
 0 
 
 012817 
 
 0 
 
 00*392 
 
 0 
 
 00927* 
 
 s 16 
 
 S IT 
 
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 0 
 
 02020B 0 
 
 025278 
 
 0 
 
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 0 
 
 oofsar 1 
 
 
 0 
 
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 006107 0 
 
 02**5* 
 
 0 
 
 0113*7 
 
 0 
 
 0)9801 
 
 0 
 
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 0 
 
 01679) 
 
 
 033979 
 
 0 
 
 01072) 
 
 3 17 
 
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 0 
 
 029*29 0 
 
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 0 
 
 09*17* 0 
 
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 or*9** 
 
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 S 18 
 
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 0 
 
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 005681 
 
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 1 
 
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 0 
 
 IBI8 32 
 
 0 
 
 0090^1 
 
 0 
 
 018209 
 
 s 19 
 
 S 20 
 
 FrlaaiY aetala 
 
 0 
 
 005ft9ft 0 
 
 32*078 
 
 0 
 
 OOe>7*0 
 
 
 0179S5 i 
 
 009^80 
 
 0 
 
 157)67 
 
 
 0*5267 1 
 
 21*81* 
 
 
 028678 
 
 
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 0 
 
 01 60 92 
 
 0 
 
 00 1)12 
 
 0 
 
 00592 3 
 
 S 20 
 
 S 21 
 
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 0 
 
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 096*58 
 
 3 
 
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 0 
 
 065211 3 
 
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 36*1)6 
 
 0 
 
 011)70 0 
 
 0*)9)5 
 
 1 
 
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 0 
 
 063913 
 
 
 0)907a 
 
 0 
 
 07385) 
 
 0 
 
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 0 
 
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 3 22 
 
 
 0 
 
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 D 
 
 0187)8 
 
 I 
 
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 0 
 
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 0 
 
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 S 22 
 
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 0 
 
 OlfftO* 0 
 
 017111 
 
 
 015)30 
 
 
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 02962 7 
 
 
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 0 
 
 009509 0 
 
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 3 
 
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 019722 
 
 0 
 
 02 7289 
 
 0 
 
 020691 
 
 3 23 
 
 3 21. 
 
 Selected aervlcea 
 
 0 
 
 01866* 0 
 
 011905 
 
 
 01 1699 
 
 
 0I7S29 0 
 
 01267) 
 
 0 
 
 008258 
 
 0 
 
 O0)*lt 0 
 
 01028) 
 
 
 01 1686 
 
 0 
 
 00588) 
 
 
 00**1* 
 
 1 
 
 080197 
 
 
 02*186 
 
 
 0200*0 
 
 S 2I> 
 
 3 25 
 
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 1)111* 
 
 
 2***8* 
 
 0 
 
 151761 C 
 
 i 1 1620 
 
 
 CS9*ft( 
 
 0 
 
 3)391* 0 
 
 122085 
 
 0 
 
 108871 
 
 0 
 
 0622*2 
 
 0 
 
 0252)1 
 
 
 06*6)6 
 
 
 0*91*1 
 
 0 
 
 05312) 
 
 3 25 
 
 3 26 
 
 
 
 iiT9ar 3 
 
 
 
 1)1882 
 
 3 
 
 151112 0 
 
 2*2210 
 
 
 095191 
 
 0 
 
 0)1158 0 
 
 oa*9*i 
 
 0 
 
 08 5105 
 
 
 09*060 
 
 0 
 
 12*299 
 
 0 
 
 2t5a*o 
 
 
 186*99 
 
 
 I80*b) 
 
 s 26 
 
 a/ Eacti entry ahova doliara of dlr»ct plua Indirect re^ulrenenCa for producta of M. ralllomla or ~. CaJiromla Hated at the left per dollar of final d*oand for proilucts of B, California or nallforrla sector llateu at tOe top. 
 
LITERATURE CITED 
 
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 -93- 
 
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 -94- 
 
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 -95- 
 
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 -96- 
 
[57] U.S. Department of Agriculture, Agricultural Marketing Service, Federal- 
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 -97- 
 
[70] U.S. Department of Agriculture, Statistical Reporting Service, Crop 
 
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 98- 
 
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