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Total‐factor generation performance analysis of China's thermal power industry using meta‐frontier nonradial distance function approach.

Authors :
Meng, Ming
Pang, Tingting
Source :
Energy Science & Engineering; Jul2023, Vol. 11 Issue 7, p2668-2685, 18p
Publication Year :
2023

Abstract

Thermal power is the main source of China's electricity supply. Improving total‐factor generation performance (TFGP) is essential for the development of this industry in the current deteriorating operating environment. This study adopts the meta‐frontier nonradial direction distance function approach to measure the static and dynamic TFGPs of the thermal power industry in China's 30 provinces in 2011–2019, and then discusses the regional distribution characteristics and the impact factors using spatial econometric model and Tobit regression method, respectively. Empirical results show that: (I) The TFGPs in central and west China are relatively close, but both are remarkably lower than that in east China. (II) The TFGPs in central and west China have generally remained stable since 2011, whereas that in west China has declined mainly because this region is more susceptible to the situation of electricity supply‐demand. (III) A significant spatial positive correlation exists among provincial TFGPs. High TFGP provinces are mostly in the eastern seaboard region and low TFGP provinces are in southwest China. (IV) Economic development, power structure, fuel prices, and environmental regulation have positive impacts on China's TFGP, while the impacts of technological innovation and energy endowment are not significant. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20500505
Volume :
11
Issue :
7
Database :
Complementary Index
Journal :
Energy Science & Engineering
Publication Type :
Academic Journal
Accession number :
164780312
Full Text :
https://doi.org/10.1002/ese3.1468