Environmental Performance and Benchmarking Information for Coal-Fired Power Plants in China: A DEA Approach

Xiaohong Liu, Qingyuan Zhu (), Junfei Chu, Xiang Ji and Xingchen Li
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Xiaohong Liu: Anhui Business Vocational College
Qingyuan Zhu: University of Science and Technology of China
Junfei Chu: University of Science and Technology of China
Xiang Ji: University of Science and Technology of China
Xingchen Li: University of Science and Technology of China

Computational Economics, 2019, vol. 54, issue 4, No 2, 1287-1302

Abstract: Abstract The rapid economic development in China has intensified the country’s many problems, such as environmental pollution. Coal-fired power plants are a major source of environmental pollution. In order to effectively reduce environmental pollution, it is particularly important that China’s coal-fired power plants reach the best performance standards. In this paper, data envelopment analysis is used to evaluate the environmental efficiency of 27 coal-fired power plants in China. First, we develop a range adjusted measurement (RAM) efficiency measure based on farthest target which considers undesirable output to measure the environmental efficiency. Then, based on the fact that benchmarking information can offer a pivotal pathway for inefficient DMUs to achieve efficiency, another RAM environmental efficiency measure, based on closest target, is built to analyze the efficiency and give the closest benchmarking information. The empirical study shows that closest targets are more easily attainable and provide the most relevant solution to remove inefficiency.

Keywords: Data envelopment analysis; Performance measurement; Closest target; Benchmarking information (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10614-015-9560-1

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