Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in China

This study employs 29 provincial-level administrative regions in China from 2013 to 2017 to evaluate the overall efficiency score of hydropower electricity generation in the three main regions of China. The EBM (Epsilon-based Measure) model with the DEA (Data Envelopment Analysis) method uses instal...

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Main Authors: Dong Liang, Ze Tian, Fangrong Ren, Jingjing Pan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fenrg.2020.00082/full
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spelling doaj-a1dfd35c12c043179ad9b81f4644d4262020-11-25T02:09:41ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2020-05-01810.3389/fenrg.2020.00082534859Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in ChinaDong Liang0Dong Liang1Ze Tian2Fangrong Ren3Fangrong Ren4Jingjing Pan5Business School, Hohai University, Nanjing, ChinaSchool of Economics and Trade, Changzhou Vocational Institute of Textile and Garment, Changzhou, ChinaBusiness School, Hohai University, Nanjing, ChinaBusiness School, Hohai University, Nanjing, ChinaBusiness School, Xi'an Innovation College of Yan'an University, Xi'an, ChinaBusiness School, Hohai University, Nanjing, ChinaThis study employs 29 provincial-level administrative regions in China from 2013 to 2017 to evaluate the overall efficiency score of hydropower electricity generation in the three main regions of China. The EBM (Epsilon-based Measure) model with the DEA (Data Envelopment Analysis) method uses installed capacity data, labor force data, and equipment utilization hours as input indicators and electricity generation and CO2 emission reduction as output indicators. By comparing the efficiency values of the two indices of installed capacity and CO2 emission reduction, we are able to analyze the differences between installed hydropower electricity generation capacity efficiency and carbon emission reduction efficiency in various provinces and cities. The findings show that the western region is the best, followed by the central region and then the eastern region in terms of the input-output index level, total efficiency score of hydropower, and comparison of installed capacity-carbon emission reduction efficiency. Natural water resources and geographical advantages have a great positive effect on hydropower efficiency, while economic development has little effect on it. China should promote the sustainable development of hydropower according to local conditions and formulate and adopt countermeasures in line with the different circumstances between regions.https://www.frontiersin.org/article/10.3389/fenrg.2020.00082/fullEBM modelefficiencyhydropower in Chinarenewable energyCO2 emission reduction
collection DOAJ
language English
format Article
sources DOAJ
author Dong Liang
Dong Liang
Ze Tian
Fangrong Ren
Fangrong Ren
Jingjing Pan
spellingShingle Dong Liang
Dong Liang
Ze Tian
Fangrong Ren
Fangrong Ren
Jingjing Pan
Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in China
Frontiers in Energy Research
EBM model
efficiency
hydropower in China
renewable energy
CO2 emission reduction
author_facet Dong Liang
Dong Liang
Ze Tian
Fangrong Ren
Fangrong Ren
Jingjing Pan
author_sort Dong Liang
title Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in China
title_short Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in China
title_full Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in China
title_fullStr Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in China
title_full_unstemmed Installed Hydropower Capacity and Carbon Emission Reduction Efficiency Based on the EBM Method in China
title_sort installed hydropower capacity and carbon emission reduction efficiency based on the ebm method in china
publisher Frontiers Media S.A.
series Frontiers in Energy Research
issn 2296-598X
publishDate 2020-05-01
description This study employs 29 provincial-level administrative regions in China from 2013 to 2017 to evaluate the overall efficiency score of hydropower electricity generation in the three main regions of China. The EBM (Epsilon-based Measure) model with the DEA (Data Envelopment Analysis) method uses installed capacity data, labor force data, and equipment utilization hours as input indicators and electricity generation and CO2 emission reduction as output indicators. By comparing the efficiency values of the two indices of installed capacity and CO2 emission reduction, we are able to analyze the differences between installed hydropower electricity generation capacity efficiency and carbon emission reduction efficiency in various provinces and cities. The findings show that the western region is the best, followed by the central region and then the eastern region in terms of the input-output index level, total efficiency score of hydropower, and comparison of installed capacity-carbon emission reduction efficiency. Natural water resources and geographical advantages have a great positive effect on hydropower efficiency, while economic development has little effect on it. China should promote the sustainable development of hydropower according to local conditions and formulate and adopt countermeasures in line with the different circumstances between regions.
topic EBM model
efficiency
hydropower in China
renewable energy
CO2 emission reduction
url https://www.frontiersin.org/article/10.3389/fenrg.2020.00082/full
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