期刊
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
卷 41, 期 -, 页码 1255-1266出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2014.09.021
关键词
Carbon emissions; Carbon emission intensity; LMDI; Decoupling index
资金
- National Natural Science Foundation of China [71001008, 71273028, 71322103, 71431008]
- Basic Research Fund of Beijing Institute of Technology [20122142008]
In order to find the efficient ways to reduce carbon emission intensity in China, we utilize the LMDI method to decompose the changes of China's carbon emissions and carbon emission intensity from 1996 to 2010, from the perspectives of energy sources and industrial structure respectively. Then we introduce the decoupling index to analyze the decoupling relationship between carbon emissions and economic growth in China. The results indicate that, on the one hand, economic growth appeared as the main driver of carbon emissions increase in the past decades, while the decrease of energy intensity and the cleaning of final energy consumption structure played significant roles in curbing carbon emissions; meanwhile, the secondary industry proved the principal source of carbon emissions reduction among the three industries and had relatively higher potential. On the other hand, when the decoupling relationship is considered, most years during the study period saw the relative decoupling effect between carbon emissions and economic growth, which indicated that the reduction effect of inhibiting factors of carbon emissions was less than the driving effect of economic growth, and the economy grew with increased carbon emissions; there appeared the absolute decoupling effect in 1997, 2000 and 2001, which implied that the economy grew while carbon emissions decreased; whereas no decoupling effect was identified in 2003 and 2004. (C) 2014 Elsevier Ltd. All rights reserved.
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