Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China

Abstract The three-stage super-efficiency slack-based measure and data envelopment analysis (SBM-DEA) model with undesirable outputs is used to calculate carbon emissions efficiency of industrial energy (CEEIE) of 30 provinces in China from 2000 to 2017. Then ArcGIS software is used to illustrate th...

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Autores principales:	Fang Liu, Lu Tang, Kaicheng Liao, Lijuan Ruan, Pingsheng Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/acb5fa2af0de4cd5bf7021e295add96f
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spelling	oai:doaj.org-article:acb5fa2af0de4cd5bf7021e295add96f2021-12-02T17:18:20ZSpatial distribution and regional difference of carbon emissions efficiency of industrial energy in China10.1038/s41598-021-98225-z2045-2322https://doaj.org/article/acb5fa2af0de4cd5bf7021e295add96f2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98225-zhttps://doaj.org/toc/2045-2322Abstract The three-stage super-efficiency slack-based measure and data envelopment analysis (SBM-DEA) model with undesirable outputs is used to calculate carbon emissions efficiency of industrial energy (CEEIE) of 30 provinces in China from 2000 to 2017. Then ArcGIS software is used to illustrate the spatial distribution of CEEIE, and Dagum Gini ratio is calculated to decompose the regional difference. The results show that the spatial distribution of CEEIE changes from disorder to order and provinces characterized with high or low CEEIE cluster in space over time. The total Dagum Gini coefficient indicates that the interprovincial difference in CEEIE across China is gradually expanding, which is mainly induced by the difference between regions. Our findings attach more importance to interregional integration policies for carbon emissions reduction in China.Fang LiuLu TangKaicheng LiaoLijuan RuanPingsheng LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fang Liu Lu Tang Kaicheng Liao Lijuan Ruan Pingsheng Liu Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
description	Abstract The three-stage super-efficiency slack-based measure and data envelopment analysis (SBM-DEA) model with undesirable outputs is used to calculate carbon emissions efficiency of industrial energy (CEEIE) of 30 provinces in China from 2000 to 2017. Then ArcGIS software is used to illustrate the spatial distribution of CEEIE, and Dagum Gini ratio is calculated to decompose the regional difference. The results show that the spatial distribution of CEEIE changes from disorder to order and provinces characterized with high or low CEEIE cluster in space over time. The total Dagum Gini coefficient indicates that the interprovincial difference in CEEIE across China is gradually expanding, which is mainly induced by the difference between regions. Our findings attach more importance to interregional integration policies for carbon emissions reduction in China.
format	article
author	Fang Liu Lu Tang Kaicheng Liao Lijuan Ruan Pingsheng Liu
author_facet	Fang Liu Lu Tang Kaicheng Liao Lijuan Ruan Pingsheng Liu
author_sort	Fang Liu
title	Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_short	Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_full	Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_fullStr	Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_full_unstemmed	Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_sort	spatial distribution and regional difference of carbon emissions efficiency of industrial energy in china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/acb5fa2af0de4cd5bf7021e295add96f
work_keys_str_mv	AT fangliu spatialdistributionandregionaldifferenceofcarbonemissionsefficiencyofindustrialenergyinchina AT lutang spatialdistributionandregionaldifferenceofcarbonemissionsefficiencyofindustrialenergyinchina AT kaichengliao spatialdistributionandregionaldifferenceofcarbonemissionsefficiencyofindustrialenergyinchina AT lijuanruan spatialdistributionandregionaldifferenceofcarbonemissionsefficiencyofindustrialenergyinchina AT pingshengliu spatialdistributionandregionaldifferenceofcarbonemissionsefficiencyofindustrialenergyinchina
_version_	1718381103742451712

Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China

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