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Energies 2013, 6(5), 2319-2337; doi:10.3390/en6052319
Article

Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

,
*  and *
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
* Authors to whom correspondence should be addressed.
Received: 31 December 2012 / Revised: 7 April 2013 / Accepted: 7 April 2013 / Published: 25 April 2013
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Abstract

Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive driving factor for industrial CO2 emissions growth for all sectors in China, with the largest cumulative contribution value; Population (P), economic structure (YS) and energy structure (ES) also played a positive driving role, but with weak contributions. As the only negative inhibiting factor, energy intensity (EI) significantly reduced the energy-related CO2 emissions from industrial sectors. Meanwhile, CO2 emissions reduction based on the efficiency of energy use still held a large space. (2) Various influencing factors imposed differential impacts on CO2 emissions of six sectors.
Keywords: decomposition analysis; energy-related industrial CO2 emissions; industrial discrepancy decomposition analysis; energy-related industrial CO2 emissions; industrial discrepancy
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.

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Chen, L.; Yang, Z.; Chen, B. Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China. Energies 2013, 6, 2319-2337.

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