Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach

被引：92

作者：

Long, Xingle ^{[1
,2
]}

Wu, Chao ^{[2
]}

Zhang, Jijian ^{[2
]}

Zhang, Jing ^{[2
]}

机构：

[1] Jiangsu Univ, Sch Management, Zhenjiang 212013, Peoples R China

[2] Jiangsu Univ, Sch Finance & Econ, Zhenjiang 212013, Peoples R China

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2018年 / 82卷

基金：

中国国家自然科学基金; 国家教育部科学基金资助; 中国博士后科学基金;

关键词：

Environmental efficiency; Metafrontier; Coal consumption intensity; DATA ENVELOPMENT ANALYSIS; NONRADIAL DEA APPROACH; MODELING UNDESIRABLE FACTORS; MALMQUIST-LUENBERGER INDEX; DISTANCE FUNCTION-APPROACH; CO2 EMISSION PERFORMANCE; WORLD CEMENT INDUSTRY; ECO-EFFICIENCY; ENERGY EFFICIENCY; PRODUCTIVITY GROWTH;

D O I：

10.1016/j.rser.2017.10.077

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This study investigated environmental efficiency considering heterogeneity for 192 thermal power plants in the Yangtze River Delta of China from 2009 to 2011. We evaluated environmental efficiency using metafrontier directional slacks-based measure. We also testify whether heterogeneity for environmental technology increased or decreased among different provinces. We proposed a regional, time, and coal intensity effects hypothesis to explore the determinants of environmental efficiency through bootstrapped truncated regression. We found that heterogeneity for environmental technology widened from 2010 to 2011. Shanghai had the highest environmental efficiency. Environmental efficiency increased from 2009 to 2010, and declined in 2011. Coal consumption intensity negatively impacted environmental efficiency. It is critical that we should decrease the rate of coal use, and expand technology spillover of production technology and environmental technology among different provinces and power plants.

引用

页码：3962 / 3971

页数：10

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