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

机译:中国燃煤电厂的环境绩效及基准信息:DEA方法

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摘要

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.
机译:中国的快速经济发展加剧了该国的许多问题,如环境污染。燃煤发电厂是环境污染的主要来源。为了有效减少环境污染,尤为重要的是,中国的燃煤电厂达到最佳性能标准。本文采用数据包络分析来评估中国27型燃煤电厂的环境效率。首先,我们开发基于最远目标的调整测量(RAM)效率度量,这考虑了不希望的输出来测量环境效率。然后,基于基准信息可以提供低效DMU的幂态通路来实现效率,基于最接近目标的另一RAM环境效率测量来分析效率并提供最接近的基准测试信息。实证研究表明,最接近的目标更容易获得,并提供最相关的解决方案以消除低效率。

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