Determinants of carbon emissions in 'Belt and Road initiative' countries: A production technology perspective

被引:130
作者
Fan, Jing-Li [1 ,2 ,3 ]
Da, Ya-Bin [4 ]
Wan, Si-Lai [1 ,5 ]
Zhang, Mian [1 ]
Cao, Zhe [1 ]
Wang, Yu [6 ]
Zhang, Xian [7 ]
机构
[1] China Univ Min & Technol, Sch Energy & Min Engn, Beijing CUMTB, Beijing 100083, Peoples R China
[2] China Univ Min & Technol, State Key Lab Coal Resources & Safe Min, Beijing 100083, Peoples R China
[3] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[4] Texas A&M Univ, Dept Agr Econ, College Stn, TX 77843 USA
[5] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
[6] Tsinghua Univ, Inst Energy Environm & Econ, Beijing 100084, Peoples R China
[7] Minist Sci & Technol MOST, ACCA21, Beijing 100038, Peoples R China
基金
中国国家自然科学基金;
关键词
'Belt and Road Initiative' countries; Carbon dioxide emissions; Production-theoretical decomposition analysis (PDA); Distance function; RESIDENTIAL ENERGY-CONSUMPTION; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; FUEL COMBUSTION; INPUT-OUTPUT; END-USE; CHINA; ELECTRICITY; DRIVERS; URBAN;
D O I
10.1016/j.apenergy.2019.01.201
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Little attention has been given to the carbon emissions issues of 'Belt and Road Initiative' countries although most countries have set explicit targets for Intended Nationally Determined Contributions. Taking advantage of the production theory, distance function, and data envelopment analysis, we employed a production-theoretical decomposition analysis to decompose the total carbon dioxide emission changes of the "Belt and Road Initiatives" countries from 2000 to 2014 into the contribution of seven driving factors and focused particularly on a production technology perspective. The main findings are as follows: (1) the economic development as proxied by the gross domestic product and the potential carbon emissions related to energy consumption were the two most important factors affecting carbon emission growth. The driving factor values for these two factors were 1.989 and 1.37. The average CO2 emissions of the "Belt and Road Initiatives" countries in 2014 were 1.425 times larger than those in 2000. (2) The carbon abatement technology changes and potential energy intensity changes were the two main inhibiting factors return with factor values of 0.775 and 0.793. Moreover, we divided all countries into four groups, namely China and three other groups based on the income level. The results showed that the three groups had similar characteristics in terms of the carbon abatement technology effect and the carbon dioxide abatement technological efficiency, whereas China exhibited larger fluctuations. The promoting effect of economic development is significantly higher in China than in the other three groups. In addition, this promoting effect exhibited a decrease over time, indicating a decoupling between economic development and CO2 emissions.
引用
收藏
页码:268 / 279
页数:12
相关论文
共 46 条
[1]   Potential of energy savings and CO2 emission reduction in China's iron and steel industry [J].
An, Runying ;
Yu, Biying ;
Li, Ru ;
Wei, Yi-Ming .
APPLIED ENERGY, 2018, 226 :862-880
[2]   Carbon intensity of electricity in ASEAN: Drivers, performance and outlook [J].
Ang, B. W. ;
Goh, Tian .
ENERGY POLICY, 2016, 98 :170-179
[3]  
Ang BW, 1997, ENERGY J, V18, P59
[4]   A new energy decomposition method: perfect in decomposition and consistent in aggregation [J].
Ang, BW ;
Liu, FL .
ENERGY, 2001, 26 (06) :537-548
[5]   CO2 emissions, research and technology transfer in China [J].
Ang, James B. .
ECOLOGICAL ECONOMICS, 2009, 68 (10) :2658-2665
[6]  
[Anonymous], INT PAN CLIM CHANG 5
[7]  
Boyd G., 1987, ENERG J, V8, P77, DOI DOI 10.5547/ISSN0195-6574-EJ-Vol8-No2-6
[8]   Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries [J].
Chapman, Andrew ;
Fujii, Hidemichi ;
Managi, Shunsuke .
SUSTAINABILITY, 2018, 10 (01)
[9]   Differential cryptanalysis of a novel image encryption algorithm based on chaos and Line map [J].
Chen, Lei ;
Ma, Bing ;
Zhao, Xiaohong ;
Wang, Shihong .
NONLINEAR DYNAMICS, 2017, 87 (03) :1797-1807
[10]   Assessment of low-carbon iron and steel production with CO2 recycling and utilization technologies: A case study in China [J].
Chen, Qianqian ;
Gu, Yu ;
Tang, Zhiyong ;
Wei, Wei ;
Sun, Yuhan .
APPLIED ENERGY, 2018, 220 :192-207