id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-336441-m6pur6td	Wang, Changjian	Features and drivers for energy-related carbon emissions in mega city: The case of Guangzhou, China based on an extended LMDI model	2019-02-11		.txt	text/plain	5186	282	45	title: Features and drivers for energy-related carbon emissions in mega city: The case of Guangzhou, China based on an extended LMDI model Based on the apparent energy consumption data, a systematic and comprehensive city-level total carbon accounting approach was established and applied in Guangzhou, China. g. Stochastic impacts by regression on population, affluence, and technology (STIRPAT) model) are the most commonly applied methods for the scientific evaluation and quantitative analysis of factors influencing city-level carbon emissions, especially the Logarithmic Mean Divisia Index (LMDI) method based on the IDA framework. [51] performed a multi-sectoral decomposition analysis of city-level greenhouse gas emissions in Tianjin from 2001 to 2009, including the agricultural, industrial, transportation, commercial and other sectors, and the results showed that economic growth was the most important driver for emissions increments while energy efficiency was primarily responsible for emissions reductions.	./cache/cord-336441-m6pur6td.txt	./txt/cord-336441-m6pur6td.txt