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Journal of Energy
Volume 2013, Article ID 747516, 14 pages
http://dx.doi.org/10.1155/2013/747516
Research Article

Empirical Study of Decomposition of Emission Factors in China

1School of Energy and Power Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
2Faculty of Economics, Saitama University, Saitama 338-0875, Japan

Received 30 June 2013; Revised 20 September 2013; Accepted 21 September 2013

Academic Editor: Mattheos Santamouris

Copyright © 2013 Yadong Ning et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

China’s CO2 emissions increase has attracted world’s attention. It is of great importance to analyze China’s CO2 emission factors to restrain the CO2 rapid growing. The CO2 emissions of industrial and residential consumption sectors in China during 1980–2010 were calculated in this paper. The expanded decomposition model of CO2 emissions was set up by adopting factor-separating method based on the basic principle of the Kaya identities. The results showed that CO2 emissions of industrial and residential consumption sectors increase year after year, and the scale effect of GDP is the most important factor affecting CO2 emissions of industrial sector. Decreasing the specific gravity of secondary industry and energy intensity is more effective than decreasing the primary industry and tertiary industry. The emissions reduction effect of structure factor is better than the efficiency factor. For residential consumption sector, CO2 emissions increase rapidly year after year, and the economy factor (the increase of wealthy degree or income) is the most important factor. In order to slow down the growth of CO2 emissions, it is an important way to change the economic growth mode, and the structure factor will become a crucial factor.