Ecological efficiency of coal cities in China: evaluation and influence factors

被引:19
作者
Wang, Delu [1 ]
Wan, Kaidi [1 ]
Yang, Jingyuan [1 ]
机构
[1] China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Ecological efficiency; Promotion potential; Coal city; Stochastic frontier analysis; China; ECO-EFFICIENCY; ENERGY EFFICIENCY; VULNERABILITY; PLANTS; MODEL;
D O I
10.1007/s11069-018-3441-6
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
China's energy consumption and environmental problems are becoming increasingly urgent issues as the nation's economy continues its rapid development. A further investigation of ecological efficiency would assist the healthy development of China's "coal cities.'' In this study, the stochastic frontier analysis based on the assumptions of the translog production function is employed to assess the ecological efficiency and potential promotion of 28 typical coal cities in China. The Tobit method is used to analyze the influence factors in ecological efficiency. The results show that the ecological efficiency of coal cities is not high but increased overall from 2007 to 2014. In regional terms, coal cities in the east have the highest ecological efficiency while coal cities in the west have the highest potential promotion; coal cities in the northeast have the lowest ecological efficiency and potential promotion. Moreover, ownership structure and environmental regulations have significant inhibitory effects on the improvement in ecological efficiency, while marketization level and technological innovation have significantly positive impacts.
引用
收藏
页码:363 / 379
页数:17
相关论文
共 22 条
[1]  
[Anonymous], 1992, J PROD ANALY, DOI DOI 10.1007/BF00158774
[2]  
Bi XH, 2012, PROCEEDING OF 2012 INTERNATIONAL SYMPOSIUM ON MANAGEMENT OF TECHNOLOGY (ISMOT'2012), P614, DOI 10.1109/ISMOT.2012.6679546
[3]   The energy efficiency of China's regional construction industry based on the three-stage DEA model and the DEA-DA model [J].
Chen, Yuan ;
Liu, Bingsheng ;
Shen, Yinghua ;
Wang, Xueqing .
KSCE JOURNAL OF CIVIL ENGINEERING, 2016, 20 (01) :34-47
[4]   Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis [J].
Du, Limin ;
Hanley, Aoife ;
Zhang, Ning .
RESOURCE AND ENERGY ECONOMICS, 2016, 43 :14-32
[5]   Study on eco-efficiency of industrial parks in China based on data envelopment analysis [J].
Fan, Yupeng ;
Bai, Bingyang ;
Qiao, Qi ;
Kang, Peng ;
Zhang, Yue ;
Guo, Jing .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 192 :107-115
[6]   Study of the Energy and Environmental Efficiency of the Chinese economy based on a DEA Model [J].
Jia, Y. P. ;
Liu, R. Z. .
18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM, 2012, 13 :2256-2263
[7]  
Jun-chao F, 2015, METALLURGICAL MINING, V7, P114
[8]   Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA [J].
Lampe, Hannes W. ;
Hilgers, Dennis .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 240 (01) :1-21
[9]   Comprehensive evaluation research on circular economic performance of eco-industrial parks [J].
Li Wenbo .
2010 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND DEVELOPMENT (ICEED2010), 2011, 5 :1682-1688