Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach

As a special form of a cluster city, urban agglomeration has become an important platform to support national economic growth and to participate in international competition and cooperation, but it faces severe environmental problems. This research thus selects panel data of 60 cities in the Beijing...

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Autores principales:	Zhe Cui, Feng Yang, Fangrong Ren, Xuan Zhang, Zhiye Jing
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Efficiency evaluation Dynamic DEA Model Three main urban agglomerations Regional environmental quality Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/c11a41e5bb234c2f96be2f9287d28827
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id	oai:doaj.org-article:c11a41e5bb234c2f96be2f9287d28827
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spelling	oai:doaj.org-article:c11a41e5bb234c2f96be2f9287d288272021-12-01T04:58:51ZAssessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach1470-160X10.1016/j.ecolind.2021.108079https://doaj.org/article/c11a41e5bb234c2f96be2f9287d288272021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007445https://doaj.org/toc/1470-160XAs a special form of a cluster city, urban agglomeration has become an important platform to support national economic growth and to participate in international competition and cooperation, but it faces severe environmental problems. This research thus selects panel data of 60 cities in the Beijing-Tianjin-Hebei urban agglomeration (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) from 2013 to 2017. Based on the input–output perspective, labor and energy consumption per GDP are selected as input indicators, GDP, PM2.5, SO2, industrial smoke and dust emissions, and wastewater discharged as output indicators, and fixed assets as a carry-over variable in the dynamic DEA model to evaluate and analyze the environmental efficiencies of these three urban agglomerations. Findings show that their total environmental efficiency exhibits a wave-like development trend, and that the total efficiency score of BTH is better than that of PRD and YRD. From the viewpoint of a sub-efficiency index, PM2.5 is the lowest in unexpected output, where its average five-year efficiency score is 0.9847, while the average score of industrial smoke and dust emissions efficiency is the lowest at 0.6199. Finally, this paper offers suggestions for different problems facing the three urban agglomerations.Zhe CuiFeng YangFangrong RenXuan ZhangZhiye JingElsevierarticleEfficiency evaluationDynamic DEA ModelThree main urban agglomerationsRegional environmental qualityEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108079- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Efficiency evaluation Dynamic DEA Model Three main urban agglomerations Regional environmental quality Ecology QH540-549.5
spellingShingle	Efficiency evaluation Dynamic DEA Model Three main urban agglomerations Regional environmental quality Ecology QH540-549.5 Zhe Cui Feng Yang Fangrong Ren Xuan Zhang Zhiye Jing Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach
description	As a special form of a cluster city, urban agglomeration has become an important platform to support national economic growth and to participate in international competition and cooperation, but it faces severe environmental problems. This research thus selects panel data of 60 cities in the Beijing-Tianjin-Hebei urban agglomeration (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) from 2013 to 2017. Based on the input–output perspective, labor and energy consumption per GDP are selected as input indicators, GDP, PM2.5, SO2, industrial smoke and dust emissions, and wastewater discharged as output indicators, and fixed assets as a carry-over variable in the dynamic DEA model to evaluate and analyze the environmental efficiencies of these three urban agglomerations. Findings show that their total environmental efficiency exhibits a wave-like development trend, and that the total efficiency score of BTH is better than that of PRD and YRD. From the viewpoint of a sub-efficiency index, PM2.5 is the lowest in unexpected output, where its average five-year efficiency score is 0.9847, while the average score of industrial smoke and dust emissions efficiency is the lowest at 0.6199. Finally, this paper offers suggestions for different problems facing the three urban agglomerations.
format	article
author	Zhe Cui Feng Yang Fangrong Ren Xuan Zhang Zhiye Jing
author_facet	Zhe Cui Feng Yang Fangrong Ren Xuan Zhang Zhiye Jing
author_sort	Zhe Cui
title	Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach
title_short	Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach
title_full	Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach
title_fullStr	Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach
title_full_unstemmed	Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach
title_sort	assessing sustainability environmental performance of three urban agglomerations in china: an input–output modeling approach
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c11a41e5bb234c2f96be2f9287d28827
work_keys_str_mv	AT zhecui assessingsustainabilityenvironmentalperformanceofthreeurbanagglomerationsinchinaaninputoutputmodelingapproach AT fengyang assessingsustainabilityenvironmentalperformanceofthreeurbanagglomerationsinchinaaninputoutputmodelingapproach AT fangrongren assessingsustainabilityenvironmentalperformanceofthreeurbanagglomerationsinchinaaninputoutputmodelingapproach AT xuanzhang assessingsustainabilityenvironmentalperformanceofthreeurbanagglomerationsinchinaaninputoutputmodelingapproach AT zhiyejing assessingsustainabilityenvironmentalperformanceofthreeurbanagglomerationsinchinaaninputoutputmodelingapproach
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Assessing sustainability environmental performance of three urban agglomerations in China: An input–output modeling approach

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