Open AccessDecomposition Analysis of CO2 Emission in China’s Electric Power Industry
Author(s) -
Zequn Ding,
Kexian Li,
Hao Zhu,
Weiwei Zhou,
Junliang Liu,
Zhigang Bai
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/2/022023
Subject(s) - constructive , china , electricity , electric power , electricity generation , energy consumption , environmental science , consumption (sociology) , decomposition , electric power industry , scale (ratio) , environmental economics , fossil fuel , natural resource economics , power (physics) , environmental engineering , economics , waste management , engineering , computer science , chemistry , electrical engineering , political science , geography , social science , process (computing) , law , sociology , operating system , quantum mechanics , physics , organic chemistry , cartography
The electric power industry is a largest contributor to fossil energy consumption and CO 2 emissions in China. The LMDI-I method was selected and used to conduct the study in this paper. Decomposition analysis shows that the economic scale is the most important factor that affecting the electric power industrial CO 2 emission among the seven factors studied in this paper, the effects of the electricity consumption scale and energy structural factors also plays a significant role in increasing CO 2 emission. The generating efficiency factor and the ratio consumption to generation factor have played a key role in reducing CO 2 emissions. Finally, based on the results the constructive suggestions to reduce the CO 2 emissions has been put forward.