Journal
ENERGY ECONOMICS
Volume 51, Issue -, Pages 252-260Publisher
ELSEVIER
DOI: 10.1016/j.eneco.2015.07.009
Keywords
Carbon dioxide; Driving factors; PDA
Categories
Funding
- National Natural Foundation of China [71203151]
- Postdoctoral Science Foundation of China [2012M510139, 2013T60561]
- Social Science Foundation of Jiangsu Province [12GLC008]
- Qing Lan project
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Research on the driving factors behind carbon dioxide emission changes in China can inform better carbon emission reduction policies and help develop a low-carbon economy. As one of important methods, production-theoretical decomposition analysis (PDA) has been widely used to understand these driving factors. To avoid the infeasibility issue in solving the linear programming, this study proposed a modified PDA approach to decompose carbon dioxide emission changes into seven drivers. Using 2005-2010 data, the study found that economic development was the largest factor of increasing carbon dioxide emissions. The second factor was energy structure (reflecting potential carbon), and the third factor was low energy efficiency. Technological advances, energy intensity reductions, and carbon dioxide emission efficiency improvements were the negative driving factors reducing carbon dioxide emission growth rates. Carbon dioxide emissions and driving factors varied significantly across east, central and west China. (C) 2015 Elsevier B.V. All rights reserved.
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