Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

• Main Authors: Bin Chen, Zhifeng Yang, Liang Chen
• Format: Article
• Language: English
• Published: MDPI AG 2013-04-01
• Series: Energies
• Subjects: decomposition analysis; energy-related industrial CO2 emissions; industrial discrepancy
• Online Access: http://www.mdpi.com/1996-1073/6/5/2319

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.