A Decomposition Analysis on Influencing Factors of energy-related CO2 emissions in China
Decomposition analysis has been popular in the study on influencing factors of CO2 emissions. This paper analyzes the change of sectoral CO2 emissions from the three main industries in China over the period 1980-2007 based on a complete decomposition approach—the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO2 emissions. The research shows that economic activity effect is the main influence factor for CO2 emission increase in China over the entire period, China has achieved a considerable theoretical decrease in CO2 emissions mainly due to the improved of energy intensity. In addition, the change of industrial structure, CO2 emission coefficient and population exhibit positive effect to the CO2 emissions increase. According to research, the author suggests CO2 emission reduction strategies should aim at accelerate technological innovation and industrial structural adjustments; diversify energy supply with preference on renewable energy and perfect environment protection management system.
co2 emissions logarithmic mean divisia index decomposition method(lmid) structural effect efficiency effect
Xiao-li Liu Yong-xiu He
School of Business Administration,North China Electric Power University,Beijing, China
国际会议
成都
英文
354-359
2010-07-09（万方平台首次上网日期，不代表论文的发表时间）