中国火电企业生产效率评价与影响因素研究

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Abstract Based on provincial statistical data from 2008 to 2017, the production efficiency evaluation and influencing factors of China's thermal power enterprises were studied. Firstly, the DEA model modified by Bootstrap method was employed to study the static efficiency of thermal power enterprises; Secondly, the dynamic efficiency of thermal power enterprises by integrating the transitivity of the global reference Malmquist index was studied; Finally, Tobit model was used to study the factors affecting the production efficiency of thermal power enterprises, and the fixed effect model was used to verify the reliability of test results in consideration of robustness. The empirical results of efficiency evaluation show that neither was a single province's (autonomous region or municipality) production efficiency of thermal power enterprises at the production frontier from 2008 to 2017, nor did it continue to improve. The production efficiency of China's thermal power enterprises was relatively stable from 2008 to 2013, it presented a downward trend and the inter-provincial differences were gradually amplified from 2013 to 2016, and it rebounded in 2017. From 2008 to 2017, the efficiency and stability of thermal power enterprises in Eastern, Central, and Western China presented that the best in the east, followed by the central, and the worst in the west. The empirical results for influencing factors indicated that equipment performance, economic development speed and degree of market competition were three key factors determining the production efficiency of thermal power enterprise; government's emphasis on environmental pollution and the carbon emission trading market had limited impact on it.

Key words： thermal power enterprise bootstrap method DEA-Tobit model production efficiency influencing factor

Received: 24 April 2019

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	ZHANG Ji-gang
	YANG Hong-juan

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ZHANG Ji-gang,YANG Hong-juan. Study on production efficiency evaluation and influencing factors of China's thermal power enterprises[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(11): 4910-4920.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I11/4910

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