Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources

China is the world's largest electricity producer and consumer, and the healthy development of the electricity industry contributes to its economic growth and social stability. Yangtze River Economic Belt (YREB) and non-YREB are two major economic engines of great strategic significance for Chi...

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Autores principales: Qin-Wen Xiao, Ze Tian, Fang-Rong Ren
Formato: article
Lenguaje:EN
Publicado: Elsevier 2022
Materias:
EBM
Acceso en línea:https://doaj.org/article/3f74e01e64444af8a72ca16157f6f089
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spelling oai:doaj.org-article:3f74e01e64444af8a72ca16157f6f0892021-12-04T04:33:53ZEfficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources2211-467X10.1016/j.esr.2021.100767https://doaj.org/article/3f74e01e64444af8a72ca16157f6f0892022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2211467X21001516https://doaj.org/toc/2211-467XChina is the world's largest electricity producer and consumer, and the healthy development of the electricity industry contributes to its economic growth and social stability. Yangtze River Economic Belt (YREB) and non-YREB are two major economic engines of great strategic significance for China with distinct differences in the external development environment of their power industry. A cross-regional comparison of electricity generation efficiency in China is meaningful to obtain a more accurate understanding of the power generation efficiency of YREB and non-YREB, but there is currently no literature in this area as well as none for comparing electricity generation efficiency between different energy sources. Therefore, this research uses the meta-frontier epsilon-based measure (EBM) data envelopment analysis (DEA) model to calculate the efficiency of different electricity generation energy in YREB and non-YREB for the period 2013–2017. The empirical results show that: 1) YREB's electricity industry has higher electricity generation efficiency than non-YREB's, and the efficiency gap is continuing to widen; 2) YREB's average thermal electricity generation efficiency is higher than non-YREB's; 3) YREB's clean energy power generation efficiency is always higher than non-YREB's; 4) regional differences in YREB are smaller than those in non-YREB; and 5) the efficiency value of clean energy power generation is lower than that of thermal power generation. From our analysis results, this paper presents some policy recommendations.Qin-Wen XiaoZe TianFang-Rong RenElsevierarticleChina's electricity industryElectricity generation efficiencyEBMMeta-frontierYangtze river economic beltEnergy industries. Energy policy. Fuel tradeHD9502-9502.5ENEnergy Strategy Reviews, Vol 39, Iss , Pp 100767- (2022)
institution DOAJ
collection DOAJ
language EN
topic China's electricity industry
Electricity generation efficiency
EBM
Meta-frontier
Yangtze river economic belt
Energy industries. Energy policy. Fuel trade
HD9502-9502.5
spellingShingle China's electricity industry
Electricity generation efficiency
EBM
Meta-frontier
Yangtze river economic belt
Energy industries. Energy policy. Fuel trade
HD9502-9502.5
Qin-Wen Xiao
Ze Tian
Fang-Rong Ren
Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources
description China is the world's largest electricity producer and consumer, and the healthy development of the electricity industry contributes to its economic growth and social stability. Yangtze River Economic Belt (YREB) and non-YREB are two major economic engines of great strategic significance for China with distinct differences in the external development environment of their power industry. A cross-regional comparison of electricity generation efficiency in China is meaningful to obtain a more accurate understanding of the power generation efficiency of YREB and non-YREB, but there is currently no literature in this area as well as none for comparing electricity generation efficiency between different energy sources. Therefore, this research uses the meta-frontier epsilon-based measure (EBM) data envelopment analysis (DEA) model to calculate the efficiency of different electricity generation energy in YREB and non-YREB for the period 2013–2017. The empirical results show that: 1) YREB's electricity industry has higher electricity generation efficiency than non-YREB's, and the efficiency gap is continuing to widen; 2) YREB's average thermal electricity generation efficiency is higher than non-YREB's; 3) YREB's clean energy power generation efficiency is always higher than non-YREB's; 4) regional differences in YREB are smaller than those in non-YREB; and 5) the efficiency value of clean energy power generation is lower than that of thermal power generation. From our analysis results, this paper presents some policy recommendations.
format article
author Qin-Wen Xiao
Ze Tian
Fang-Rong Ren
author_facet Qin-Wen Xiao
Ze Tian
Fang-Rong Ren
author_sort Qin-Wen Xiao
title Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources
title_short Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources
title_full Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources
title_fullStr Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources
title_full_unstemmed Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources
title_sort efficiency assessment of electricity generation in china using meta-frontier data envelopment analysis: cross-regional comparison based on different electricity generation energy sources
publisher Elsevier
publishDate 2022
url https://doaj.org/article/3f74e01e64444af8a72ca16157f6f089
work_keys_str_mv AT qinwenxiao efficiencyassessmentofelectricitygenerationinchinausingmetafrontierdataenvelopmentanalysiscrossregionalcomparisonbasedondifferentelectricitygenerationenergysources
AT zetian efficiencyassessmentofelectricitygenerationinchinausingmetafrontierdataenvelopmentanalysiscrossregionalcomparisonbasedondifferentelectricitygenerationenergysources
AT fangrongren efficiencyassessmentofelectricitygenerationinchinausingmetafrontierdataenvelopmentanalysiscrossregionalcomparisonbasedondifferentelectricitygenerationenergysources
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