%0 Journal Article
%T Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China
%A Liang Chen
%A Zhifeng Yang
%A Bin Chen
%J Energies
%D 2013
%I MDPI AG
%R 10.3390/en6052319
%X Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China¡¯s energy-related industrial CO 2 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 CO 2 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 CO 2 emissions from industrial sectors. Meanwhile, CO 2 emissions reduction based on the efficiency of energy use still held a large space. (2) Various influencing factors imposed differential impacts on CO 2 emissions of six sectors.
%K decomposition analysis
%K energy-related industrial CO2 emissions
%K industrial discrepancy
%U http://www.mdpi.com/1996-1073/6/5/2319