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The External Performance Appraisal of China Energy Regulation: An Empirical Study Using a TOPSIS Method Based on Entropy Weight and Mahalanobis Distance

机译:中国能源法规的外部绩效评估:基于熵权和马氏距离的TOPSIS方法实证研究

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摘要

In China’s industrialization process, the effective regulation of energy and environment can promote the positive externality of energy consumption while reducing negative externality, which is an important means for realizing the sustainable development of an economic society. The study puts forward an improved technique for order preference by similarity to an ideal solution based on entropy weight and Mahalanobis distance (briefly referred as E-M-TOPSIS). The performance of the approach was verified to be satisfactory. By separately using traditional and improved TOPSIS methods, the study carried out the empirical appraisals on the external performance of China’s energy regulation during 1999~2015. The results show that the correlation between the performance indexes causes the significant difference between the appraisal results of E-M-TOPSIS and traditional TOPSIS. The E-M-TOPSIS takes the correlation between indexes into account and generally softens the closeness degree compared with traditional TOPSIS. Moreover, it makes the relative closeness degree fluctuate within a small-amplitude. The results conform to the practical condition of China’s energy regulation and therefore the E-M-TOPSIS is favorably applicable for the external performance appraisal of energy regulation. Additionally, the external economic performance and social responsibility performance (including environmental and energy safety performances) based on the E-M-TOPSIS exhibit significantly different fluctuation trends. The external economic performance dramatically fluctuates with a larger fluctuation amplitude, while the social responsibility performance exhibits a relatively stable interval fluctuation. This indicates that compared to the social responsibility performance, the fluctuation of external economic performance is more sensitive to energy regulation.
机译:在中国的工业化进程中,对能源和环境的有效监管可以促进能源消费的积极外部性,同时减少负面外部性,这是实现经济社会可持续发展的重要手段。这项研究提出了一种改进的排序优先技术,它类似于基于熵权和马氏距离的理想解决方案(简称为E-M-TOPSIS)。经验证该方法的性能令人满意。通过分别使用传统的TOPSIS方法和改进的TOPSIS方法,该研究对1999年至2015年间中国能源监管的外部绩效进行了实证评估。结果表明,绩效指标之间的相关性导致E-M-TOPSIS评估结果与传统TOPSIS评估结果之间存在显着差异。与传统的TOPSIS相比,E-M-TOPSIS考虑了指标之间的相关性,并且通常会降低紧密度。此外,这使得相对接近度在小幅度内波动。结果符合中国能源法规的实际情况,因此E-M-TOPSIS非常适合用于能源法规的外部绩效评估。此外,基于E-M-TOPSIS的外部经济绩效和社会责任绩效(包括环境和能源安全绩效)表现出明显不同的波动趋势。外部经济绩效的波动幅度较大,而社会责任绩效的波动幅度相对稳定。这表明与社会责任绩效相比,外部经济绩效的波动对能源调控更为敏感。

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