Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China

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.

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