Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors

In order to objectively evaluate the current situation of wind power generation in China and identify the key factors, based on the data of 30 Chinese provinces from 2011 to 2014, this study use a meta-frontier data envelopment analysis (DEA) model and a symbolic regression method to study wind powe...

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Main Authors: Xiongfeng Pan, Jing Zhang, Changyu Li, Xianyou Pan
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2018-08-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/686
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spelling doaj-3abde40f3b584b23a75b2099699e01712021-02-17T20:58:03ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162018-08-017010.3303/CET1870256Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors Xiongfeng PanJing ZhangChangyu LiXianyou PanIn order to objectively evaluate the current situation of wind power generation in China and identify the key factors, based on the data of 30 Chinese provinces from 2011 to 2014, this study use a meta-frontier data envelopment analysis (DEA) model and a symbolic regression method to study wind power generation efficiency and its influencing factors. The results show: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The wind power generation efficiency in the eastern region has great room for improvement in internal management; the wind power generation efficiency in the central region and western region has great room for improvement not only at a technical level but also in internal management. (3) Technical progress has the most impact on wind power generation efficiency, followed by carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency. https://www.cetjournal.it/index.php/cet/article/view/686
collection DOAJ
language English
format Article
sources DOAJ
author Xiongfeng Pan
Jing Zhang
Changyu Li
Xianyou Pan
spellingShingle Xiongfeng Pan
Jing Zhang
Changyu Li
Xianyou Pan
Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors
Chemical Engineering Transactions
author_facet Xiongfeng Pan
Jing Zhang
Changyu Li
Xianyou Pan
author_sort Xiongfeng Pan
title Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors
title_short Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors
title_full Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors
title_fullStr Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors
title_full_unstemmed Analysis of China’s Regional Wind Power Generation Efficiency and its Influencing Factors
title_sort analysis of china’s regional wind power generation efficiency and its influencing factors
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2018-08-01
description In order to objectively evaluate the current situation of wind power generation in China and identify the key factors, based on the data of 30 Chinese provinces from 2011 to 2014, this study use a meta-frontier data envelopment analysis (DEA) model and a symbolic regression method to study wind power generation efficiency and its influencing factors. The results show: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The wind power generation efficiency in the eastern region has great room for improvement in internal management; the wind power generation efficiency in the central region and western region has great room for improvement not only at a technical level but also in internal management. (3) Technical progress has the most impact on wind power generation efficiency, followed by carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency.
url https://www.cetjournal.it/index.php/cet/article/view/686
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AT changyuli analysisofchinasregionalwindpowergenerationefficiencyanditsinfluencingfactors
AT xianyoupan analysisofchinasregionalwindpowergenerationefficiencyanditsinfluencingfactors
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