Development and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect

Industrial ecology (IE) was defined as a dynamic evolution process characterized by the coupling coordination relationship between ecological efficiency and industrial efficiency. This paper used data envelopment analysis and technique for order preference by similarity to ideal solution method to e...

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Autores principales: Yifang Sun, Ninglian Wang
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/66ef82dd8dbc4389b0ed81694395bd6d
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spelling oai:doaj.org-article:66ef82dd8dbc4389b0ed81694395bd6d2021-12-01T05:02:53ZDevelopment and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect1470-160X10.1016/j.ecolind.2021.108332https://doaj.org/article/66ef82dd8dbc4389b0ed81694395bd6d2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009973https://doaj.org/toc/1470-160XIndustrial ecology (IE) was defined as a dynamic evolution process characterized by the coupling coordination relationship between ecological efficiency and industrial efficiency. This paper used data envelopment analysis and technique for order preference by similarity to ideal solution method to explore the spatiotemporal evolution of ecological efficiency and industrial efficiency in China’s loess plateau region (LPR) from 2006 to 2017. Based on the definition, LPR’s IE development and spatial correlations were studied separately using coupling evaluation model and social network analysis. Findings include: Although eco-efficiency and industrial efficiency were mutually promoted, and both have improved during the study period, LPR’s human-earth relation was still facing uncertainties. There were significant disparities in industrial efficiency, ecological efficiency, and IE levels among cities. The evolutionary patterns of cities were classified as coordinated development mode and professional development mode. The IE interactive network was characterized by “scale-free” and “small world,” where provincial capitals and big cities functioned as growth poles and intermediaries. The correlations of IE brought challenges as well as favorable conditions for setting up a cross-regional coordination mechanism. This paper provided a new perspective to understand IE and a “quantity and structure” driven development idea for policymakers.Yifang SunNinglian WangElsevierarticleIndustrial efficiencyEcological efficiencyData envelopment analysisCoupling coordinationSocial networkEcologyQH540-549.5ENEcological Indicators, Vol 132, Iss , Pp 108332- (2021)
institution DOAJ
collection DOAJ
language EN
topic Industrial efficiency
Ecological efficiency
Data envelopment analysis
Coupling coordination
Social network
Ecology
QH540-549.5
spellingShingle Industrial efficiency
Ecological efficiency
Data envelopment analysis
Coupling coordination
Social network
Ecology
QH540-549.5
Yifang Sun
Ninglian Wang
Development and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect
description Industrial ecology (IE) was defined as a dynamic evolution process characterized by the coupling coordination relationship between ecological efficiency and industrial efficiency. This paper used data envelopment analysis and technique for order preference by similarity to ideal solution method to explore the spatiotemporal evolution of ecological efficiency and industrial efficiency in China’s loess plateau region (LPR) from 2006 to 2017. Based on the definition, LPR’s IE development and spatial correlations were studied separately using coupling evaluation model and social network analysis. Findings include: Although eco-efficiency and industrial efficiency were mutually promoted, and both have improved during the study period, LPR’s human-earth relation was still facing uncertainties. There were significant disparities in industrial efficiency, ecological efficiency, and IE levels among cities. The evolutionary patterns of cities were classified as coordinated development mode and professional development mode. The IE interactive network was characterized by “scale-free” and “small world,” where provincial capitals and big cities functioned as growth poles and intermediaries. The correlations of IE brought challenges as well as favorable conditions for setting up a cross-regional coordination mechanism. This paper provided a new perspective to understand IE and a “quantity and structure” driven development idea for policymakers.
format article
author Yifang Sun
Ninglian Wang
author_facet Yifang Sun
Ninglian Wang
author_sort Yifang Sun
title Development and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect
title_short Development and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect
title_full Development and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect
title_fullStr Development and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect
title_full_unstemmed Development and correlations of the industrial ecology in China’s Loess Plateau: A study based on the coupling coordination model and spatial network effect
title_sort development and correlations of the industrial ecology in china’s loess plateau: a study based on the coupling coordination model and spatial network effect
publisher Elsevier
publishDate 2021
url https://doaj.org/article/66ef82dd8dbc4389b0ed81694395bd6d
work_keys_str_mv AT yifangsun developmentandcorrelationsoftheindustrialecologyinchinasloessplateauastudybasedonthecouplingcoordinationmodelandspatialnetworkeffect
AT ninglianwang developmentandcorrelationsoftheindustrialecologyinchinasloessplateauastudybasedonthecouplingcoordinationmodelandspatialnetworkeffect
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