Energy and carbon performance improvement in China's mining Industry: Evidence from the 11th and 12th five-year plan

被引:44
作者
Zhu, Runqing [1 ]
Lin, Boqiang [1 ]
机构
[1] Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, Sch Management, China Inst Studies Energy Policy, Xiamen 361005, Fujian, Peoples R China
关键词
China’ s mining industry; Energy and carbon performance; Technical efficiency change; Best practice gap change; Technological leadership; CO2 EMISSION PERFORMANCE; FUEL POWER-PLANTS; PRODUCTIVITY GROWTH; UNIFIED EFFICIENCY; SHADOW PRICE; PROGRESS; REDUCTION; PROVINCES; IMPACTS; OUTPUTS;
D O I
10.1016/j.enpol.2021.112312
中图分类号
F [经济];
学科分类号
02 ;
摘要
The mining industry is one of the basic industries in China that ensures energy security. However, the mining industry's energy consumption is huge. It is, therefore, significant to improve the mining industry's energy and carbon performance. This paper adopts the non-radial directional distance function (NDDF) to measure the energy and carbon performance (ECP) of China's mining industry. It uses the metafrontier Malmquist index (MML) to disassemble the mining industry's ECP into three components to explore the driving factors during the 11th and 12th five-year plan. The empirical results reflect that although the mining industry's ECP is improved during two plan periods, technological progress does not have an obvious contribution to the ECP improvement. This means the mining sector lacks the innovation effect. As for policymaking, the government should support the mining sector's technological innovation, reduce surplus capacity, and open mineral markets.
引用
收藏
页数:8
相关论文
共 58 条
[11]   Energy investment risk assessment for nations along China's Belt & Road Initiative [J].
Duan, Fei ;
Ji, Qiang ;
Liu, Bing-Yue ;
Fan, Ying .
JOURNAL OF CLEANER PRODUCTION, 2018, 170 :535-547
[12]   Productivity growth, technical progress and efficiency change in African agriculture [J].
Nkamleu, GB .
AFRICAN DEVELOPMENT REVIEW-REVUE AFRICAINE DE DEVELOPPEMENT, 2004, 16 (01) :203-222
[13]  
FARE R, 1989, REV ECON STAT, V71, P90
[14]  
Fare R., 2006, New Directions: Efficiency and Productivity
[15]   THE MEASUREMENT OF PRODUCTIVE EFFICIENCY [J].
FARRELL, MJ .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-GENERAL, 1957, 120 (03) :253-290
[16]  
Fukuyama H., 2009, Socio-Economic Planning Sciences, V43, P274, DOI [10.1016/j.seps.2008.12.001, DOI 10.1016/J.SEPS.2008.12.001]
[17]  
Goldsmith Raymond W., 1951, Studies in Income and Wealth, V14, P5
[18]   What comes after picking pollution intensive low-hanging fruits? Transfer direction of environmental regulation in China [J].
Ju, Keyi ;
Zhou, Dejin ;
Wang, Qunwei ;
Zhou, Dequn ;
Wei, Xiaozhuo .
JOURNAL OF CLEANER PRODUCTION, 2020, 258
[19]   Possible artifacts of data biases in the recent global surface warming hiatus [J].
Karl, Thomas R. ;
Arguez, Anthony ;
Huang, Boyin ;
Lawrimore, Jay H. ;
McMahon, James R. ;
Menne, Matthew J. ;
Peterson, Thomas C. ;
Vose, Russell S. ;
Zhang, Huai-Min .
SCIENCE, 2015, 348 (6242) :1469-1472
[20]   Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions [J].
Li, Aijun ;
Zhang, Aizhen ;
Huang, Huijie ;
Yao, Xin .
ENERGY, 2018, 152 :549-561