中国全要素能源效率测算及其驱动因素

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Abstract In order to urge the improvement of total factor energy efficiency in China, Firstly, the panel data of 30 provinces, municipalities directly under the central government and autonomous regions of China (excluding Tibet, Hong Kong, Macao and Taiwan) were used to incorporate the energy footprint into the non-expected output indicators, aiming to make the total factor energy efficiency measures more scientific. Secondly, a dynamic stochastic non-parametric data envelopment analysis (StoNED), which is more suitable for panel data, was used to measure total factor energy efficiency, and the results are analysed at three levels: national, eight economic regions and sub-provinces. A spatial error panel Tobit regression model (SEM-Tobit) was constructed to investigate the effects of the drivers of total factor energy efficiency in China, and finally, policy recommendations are explored to improve total factor energy efficiency. The study finds that: in terms of total factor energy efficiency measurement results, from a national perspective, China's total factor energy efficiency generally shows a decreasing and then increasing distribution, from a regional perspective, the total factor energy efficiency of the eight comprehensive economic zones shows a gradual convergence from coastal to inland, from a provincial perspective, the total factor energy efficiency of coastal provinces is relatively high, but there are some differences in the level of total factor energy efficiency between different provinces in the same region. From the analysis of the drivers, environmental regulation and energy consumption structure have a significant negative effect on total factor energy efficiency, while industrial structure, population size, foreign trade and research funding have a positive effect on total factor energy efficiency.

Key words： total factor energy efficiency dynamic StoNED model spatial error panel-Tobit regression driver analysis

Received: 16 October 2021

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	Articles by authors
	CHEN Jing-quan
	LIAN Xin-yan
	MA Xiao-jun
	MI Jun

Cite this article:

CHEN Jing-quan,LIAN Xin-yan,MA Xiao-jun等. Total factor energy efficiency measurement and drivers in China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(5): 2453-2463.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I5/2453

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