删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gi

本站小编 Free考研/2020-04-17

文献详情
Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gini Criterion Approach
文献类型:期刊
通讯作者:Yu, YH (reprint author), Renmin Univ China, Sch Appl Econ, Beijing 100872, Peoples R China.
期刊名称:SUSTAINABILITY影响因子和分区
年:2019
卷:11
期:8
ISSN:2071-1050
关键词:environmental efficiency; industry; DEA; Gini coefficient; cluster analysis; China
摘要:While China's rapid industrialization has brought great pressure on environmental pollution, great variations appear in terms of environmental pollution levels among industries. The effective assessment of the environmental performance of different industries is not only conducive to identifying the major sources of pollution in China but also of great significance to the Chinese government in formulating differentiated industry environmental control policies in a targeted manner. Using data of ...More
While China's rapid industrialization has brought great pressure on environmental pollution, great variations appear in terms of environmental pollution levels among industries. The effective assessment of the environmental performance of different industries is not only conducive to identifying the major sources of pollution in China but also of great significance to the Chinese government in formulating differentiated industry environmental control policies in a targeted manner. Using data of 36 Chinese industries from 2006 to 2015 and a multiple data envelopment analysis (DEA) with a Gini criterion as well as a systematic clustering approach, this study first calculates the environmental efficiency score of Chinese industries and then identifies those pollution sources based on a ranking and clustering analysis. The main result indicates that the ranking of environmental efficiency of various industries overall varies greatly by time. In addition, using a clustering analysis, this study finds that 13 labor-intensive light industries and heavy chemical industries with high energy use and high emissions are medium- and high-pollution industries. Important policy implications are drawn to achieve green industrial development. ...Hide

DOI:10.3390/su11082294
百度学术:Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gini Criterion Approach
语言:外文
被引频次:
3
人气指数:2
浏览次数:2
基金:National Natural Science Foundation of ChinaNational Natural Science Foundation of China [71573074]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2018T110172]; National Social Science Foundation of China [15BJL099]
作者其他论文



The Role of China's Demand in Global Oil Price Dynamics.Yu, Yihua, Zhang, Wen,.EMERGING MARKETS FINANCE AND TRADE. 2019, 55(6), 1199-1215.
Factors Affecting the Intensity of Industrial Carbon Emissions: Empirical Evidence from Chinese Heterogeneous Subindustries.Xie, Li, Wang, Tengfei, Zhang, Tuo,.EMERGING MARKETS FINANCE AND TRADE. 2019, 55(6), 1357-1374.
Dynamic Assessment of Environmental Efficiency in Chinese Industry: A Multiple DEA Model with a Gini Criterion Approach.Xie, Li, Chen, Chunlin, Yu, Yihua,.SUSTAINABILITY. 2019, 11(8).
Characteristics of residential energy consumption in China: Findings from a household survey.Zheng, Xinye;Wei, Chu;Qin, Ping,等.ENERGY POLICY.2014,75,126-135.
Identifying the determinants and spatial nexus of provincial carbon intensity in China: a dynamic spatial panel approach.Zheng, Xinye;Yu, Yihua;Wang, Jing,等.REGIONAL ENVIRONMENTAL CHANGE.2014,14(4),1651-1661.

相关话题/文献 语言