Influencing Factors of Energy-Related CO2 Emissions in China: A Decomposition Analysis

被引:39
作者
Wang, Guokui [1 ,2 ]
Chen, Xingpeng [1 ]
Zhang, Zilong [1 ]
Niu, Chaolan [1 ]
机构
[1] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China
[2] Univ Toronto, Dept Geog, Mississauga, ON L5L 1C6, Canada
基金
中国国家自然科学基金;
关键词
CO2; emissions; industrial and household sector; logarithmic mean Divisia index; CARBON EMISSIONS; CONSUMPTION;
D O I
10.3390/su71014408
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China is the largest CO2 emitter in the world and is still reliant on energy consumption for economic growth. Research has focused on effective approaches of reducing and mitigating CO2 emissions. This paper undertakes a decomposition study of energy-related CO2 emissions from the industrial and household sectors during the period 1996-2012, with the objectives of investigating trends of the changes in energy-related CO2 emissions, the driving forces of these changes, and approaches of mitigating CO2 emission. Results show the following: (1) the expansion of economic activity is the dominant stimulatory factor of the increase of CO2 emissions in China and that a sustained increase in CO2 emissions can be expected; (2) the decline in energy intensity and the adjustment of energy mix and industrial structure effectively mitigate CO2 emissions; and (3) the government should give more attention to enhancing the energy utility efficiency and reducing CO2 emissions in rural households.
引用
收藏
页码:14408 / 14426
页数:19
相关论文
共 27 条
[1]   Decomposition analysis of the variations in residential electricity consumption in Brazil for the 1980-2007 period: Measuring the activity, intensity and structure effects [J].
Achao, Carla ;
Schaeffer, Roberto .
ENERGY POLICY, 2009, 37 (12) :5208-5220
[2]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[3]  
BP, Statistical review of world energy 2022
[4]   CO2 emissions in Greece for 1990-2002:: A decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques [J].
Hatzigeorgiou, Emmanouil ;
Polatidis, Heracles ;
Haralambopoulos, Dias .
ENERGY, 2008, 33 (03) :492-499
[5]  
He XG., 2012, CHINA IND EC, V1, P26, DOI [10.19581/j.cnki.ciejournal.2012.01.003, DOI 10.19581/J.CNKI.CIEJOURNAL.2012.01.003]
[6]   Comparing structural and index decomposition analysis [J].
Hoekstra, R ;
van der Bergh, JJCJM .
ENERGY ECONOMICS, 2003, 25 (01) :39-64
[7]  
Intergovernmental Panel on Climate Change (IPCC), 2006 IPCC GUIDELINES
[8]   Trends in road freight transportation carbon dioxide emissions and policies in China [J].
Li, Hongqi ;
Lu, Yue ;
Zhang, Jun ;
Wang, Tianyi .
ENERGY POLICY, 2013, 57 :99-106
[9]   Using LMDI method to analyzed the change of China's industrial CO2 emissions from final fuel use:: An empirical analysis [J].
Liu, Lan-Cui ;
Fan, Ying ;
Wu, Gang ;
Wei, Yi-Ming .
ENERGY POLICY, 2007, 35 (11) :5892-5900
[10]   China's changing energy intensity trend: A decomposition analysis [J].
Ma, Chunbo ;
Stern, David I. .
ENERGY ECONOMICS, 2008, 30 (03) :1037-1053