Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint

Tight energy constraints and severe environmental pollution are two main problems affecting economic growth and sustainable development. As an important economic growth mode, green growth seeks to achieve both economic growth and environmental sustainability. Previous studies on the efficiency evalu...

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Autores principales:	Qingyuan Zhu, Xingchen Li, Feng Li, Jie Wu, Jiasen Sun
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Data envelopment analysis Green growth Sustainable development Energy and environment Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/96983d3b57b949cf97fdebed5ff5ef19
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spelling	oai:doaj.org-article:96983d3b57b949cf97fdebed5ff5ef192021-12-01T04:39:53ZAnalyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint1470-160X10.1016/j.ecolind.2020.107235https://doaj.org/article/96983d3b57b949cf97fdebed5ff5ef192021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311742https://doaj.org/toc/1470-160XTight energy constraints and severe environmental pollution are two main problems affecting economic growth and sustainable development. As an important economic growth mode, green growth seeks to achieve both economic growth and environmental sustainability. Previous studies on the efficiency evaluation of green growth ignored fixed-sum energy consumption; this is a significant omission because this constraint is general in China: the government has set targets to reduce energy consumption by 20% and 16% per unit of GDP during its the eleventh (2006-2010) and twelfth (2011-2015) five-year plans. To fill this gap, we propose a new data envelopment analysis (DEA) model to analyze the green growth degree of China’s industrial sectors. The proposed DEA model considers the constraint of total energy consumption in order to conform to the policy of energy and emission reduction. Previous theoretical studies on fixed-sum output construct the common equilibrium efficient frontier (CEEF) only by considering the minimal reduction strategy for the fixed-sum output of all decision making units (DMUs), while ignoring each DMU’s adjustment strategy for fixed-sum input/output. In this paper, we construct a new CEEF by considering each industrial sector’s adjustment of energy consumption. The new CEEF not only guides the industrial sectors to alter their energy consumption structure to achieve green growth but also allows a more accurate evaluation of the energy and environmental efficiency (EEE) of industrial sectors. Last, our proposed model is applied to analyze the green growth and EEE of 36 of China’s industrial sectors.Qingyuan ZhuXingchen LiFeng LiJie WuJiasen SunElsevierarticleData envelopment analysisGreen growthSustainable developmentEnergy and environmentEcologyQH540-549.5ENEcological Indicators, Vol 122, Iss , Pp 107235- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Data envelopment analysis Green growth Sustainable development Energy and environment Ecology QH540-549.5
spellingShingle	Data envelopment analysis Green growth Sustainable development Energy and environment Ecology QH540-549.5 Qingyuan Zhu Xingchen Li Feng Li Jie Wu Jiasen Sun Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint
description	Tight energy constraints and severe environmental pollution are two main problems affecting economic growth and sustainable development. As an important economic growth mode, green growth seeks to achieve both economic growth and environmental sustainability. Previous studies on the efficiency evaluation of green growth ignored fixed-sum energy consumption; this is a significant omission because this constraint is general in China: the government has set targets to reduce energy consumption by 20% and 16% per unit of GDP during its the eleventh (2006-2010) and twelfth (2011-2015) five-year plans. To fill this gap, we propose a new data envelopment analysis (DEA) model to analyze the green growth degree of China’s industrial sectors. The proposed DEA model considers the constraint of total energy consumption in order to conform to the policy of energy and emission reduction. Previous theoretical studies on fixed-sum output construct the common equilibrium efficient frontier (CEEF) only by considering the minimal reduction strategy for the fixed-sum output of all decision making units (DMUs), while ignoring each DMU’s adjustment strategy for fixed-sum input/output. In this paper, we construct a new CEEF by considering each industrial sector’s adjustment of energy consumption. The new CEEF not only guides the industrial sectors to alter their energy consumption structure to achieve green growth but also allows a more accurate evaluation of the energy and environmental efficiency (EEE) of industrial sectors. Last, our proposed model is applied to analyze the green growth and EEE of 36 of China’s industrial sectors.
format	article
author	Qingyuan Zhu Xingchen Li Feng Li Jie Wu Jiasen Sun
author_facet	Qingyuan Zhu Xingchen Li Feng Li Jie Wu Jiasen Sun
author_sort	Qingyuan Zhu
title	Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint
title_short	Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint
title_full	Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint
title_fullStr	Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint
title_full_unstemmed	Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint
title_sort	analyzing the sustainability of china’s industrial sectors: a data-driven approach with total energy consumption constraint
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/96983d3b57b949cf97fdebed5ff5ef19
work_keys_str_mv	AT qingyuanzhu analyzingthesustainabilityofchinasindustrialsectorsadatadrivenapproachwithtotalenergyconsumptionconstraint AT xingchenli analyzingthesustainabilityofchinasindustrialsectorsadatadrivenapproachwithtotalenergyconsumptionconstraint AT fengli analyzingthesustainabilityofchinasindustrialsectorsadatadrivenapproachwithtotalenergyconsumptionconstraint AT jiewu analyzingthesustainabilityofchinasindustrialsectorsadatadrivenapproachwithtotalenergyconsumptionconstraint AT jiasensun analyzingthesustainabilityofchinasindustrialsectorsadatadrivenapproachwithtotalenergyconsumptionconstraint
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Analyzing the sustainability of China’s industrial sectors: A data-driven approach with total energy consumption constraint

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