Technical Papers
Jun 1, 2020

Environmental Efficiency of China’s Thermal Power Enterprises: A Bootstrapped Directional Distance Function with Metafrontier Approach

Publication: Journal of Energy Engineering
Volume 146, Issue 4

Abstract

China’s thermal power generation has attracted worldwide attention because of its significantly high amount of carbon emissions and environmental protection measures. The focus of efficiency studies has gradually shifted from the traditional technical and cost efficiency approaches to an environmental efficiency approach. This study employs a bootstrapped directional distance function approach to measure the environmental efficiency of 24 listed thermal power generation companies in China during the period 2011–2017. To consider the influence of heterogeneity, we divide the decision-making units into groups using a metafrontier method. In addition, we perform regression analysis to identify the causal effects of heterogeneity. The results show that an efficiency gap exists among China’s thermal power companies, and there is substantial room for improvement. Enterprise age, coal density, the amount of government subsidies, and carbon emission trading policies all have negative effects on the environmental efficiency of enterprises. However, enterprise ownership and installed capacity do not affect environmental efficiency significantly.

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Acknowledgments

The authors gratefully acknowledge financial support from the National Natural Science Foundation of China (Grant Nos. 71874121, 71373172, and 71431005), the National Key R&D Programme of China (Grant No. 2018YFC0704400), and Major projects of the National Social Science Fund (Grant No. 17ZDA065).

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Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 146Issue 4August 2020

History

Received: Sep 14, 2019
Accepted: Feb 18, 2020
Published online: Jun 1, 2020
Published in print: Aug 1, 2020
Discussion open until: Nov 1, 2020

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Associate Professor, College of Management and Economics, Tianjin Univ., Tianjin 300072, China. Email: [email protected]
Yi-Xuan Hao [email protected]
Master Student, College of Management and Economics, Tianjin Univ., Tianjin 300072, China. Email: [email protected]
Shuang Zhang [email protected]
Ph.D. Student, College of Management and Economics, Tianjin Univ., Tianjin 300072, China. Email: [email protected]
Ying-Zhi Deng [email protected]
Ph.D. Student, College of Management and Economics, Tianjin Univ., Tianjin 300072, China (corresponding author). Email: [email protected]
Bai-Chen Xie [email protected]
Professor, College of Management and Economics, Tianjin Univ., Tianjin 300072, China. Email: [email protected]

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