Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors
Based on economic-social-resource-environment perspective, which people’s welfare was considered compared with the traditional perspective, using SSU and PP model, spatial analysis method, spatial econometric model to study green economy efficiency (GRE) of 26 Cities in the Yangtze River Delta from...
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Taylor & Francis Group
2019
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oai:doaj.org-article:dc673e242f9a40018ee27c42b2187bc42021-12-02T17:55:39ZGreen economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors2332-887810.1080/20964129.2018.1559000https://doaj.org/article/dc673e242f9a40018ee27c42b2187bc42019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2018.1559000https://doaj.org/toc/2332-8878Based on economic-social-resource-environment perspective, which people’s welfare was considered compared with the traditional perspective, using SSU and PP model, spatial analysis method, spatial econometric model to study green economy efficiency (GRE) of 26 Cities in the Yangtze River Delta from 2005 to 2015. The results show the following: Corrected GRE is markedly lower than conventional efficiency; Stage characteristics are obvious of GRE. An overall spatial pattern has emerged of lower efficiency in the east and higher efficiency in the west, and exist clear signs of spatial agglomeration. The spatial Dubin model has abetter fitting effect. The biggest direct effect on local green economic efficiency and spatial spillover effects on nearby areas is proportion of tertiary industry.Zhenbo WangXinming WangLongwu LiangTaylor & Francis Grouparticlegreen economic efficiencymeasurement and calculationspatial characteristicsinfluencing factorsyangtze river delta urban agglomerationspatial econometricsEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 5, Iss 1, Pp 20-35 (2019) |
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DOAJ |
language |
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topic |
green economic efficiency measurement and calculation spatial characteristics influencing factors yangtze river delta urban agglomeration spatial econometrics Ecology QH540-549.5 |
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green economic efficiency measurement and calculation spatial characteristics influencing factors yangtze river delta urban agglomeration spatial econometrics Ecology QH540-549.5 Zhenbo Wang Xinming Wang Longwu Liang Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors |
description |
Based on economic-social-resource-environment perspective, which people’s welfare was considered compared with the traditional perspective, using SSU and PP model, spatial analysis method, spatial econometric model to study green economy efficiency (GRE) of 26 Cities in the Yangtze River Delta from 2005 to 2015. The results show the following: Corrected GRE is markedly lower than conventional efficiency; Stage characteristics are obvious of GRE. An overall spatial pattern has emerged of lower efficiency in the east and higher efficiency in the west, and exist clear signs of spatial agglomeration. The spatial Dubin model has abetter fitting effect. The biggest direct effect on local green economic efficiency and spatial spillover effects on nearby areas is proportion of tertiary industry. |
format |
article |
author |
Zhenbo Wang Xinming Wang Longwu Liang |
author_facet |
Zhenbo Wang Xinming Wang Longwu Liang |
author_sort |
Zhenbo Wang |
title |
Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors |
title_short |
Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors |
title_full |
Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors |
title_fullStr |
Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors |
title_full_unstemmed |
Green economic efficiency in the Yangtze River Delta: spatiotemporal evolution and influencing factors |
title_sort |
green economic efficiency in the yangtze river delta: spatiotemporal evolution and influencing factors |
publisher |
Taylor & Francis Group |
publishDate |
2019 |
url |
https://doaj.org/article/dc673e242f9a40018ee27c42b2187bc4 |
work_keys_str_mv |
AT zhenbowang greeneconomicefficiencyintheyangtzeriverdeltaspatiotemporalevolutionandinfluencingfactors AT xinmingwang greeneconomicefficiencyintheyangtzeriverdeltaspatiotemporalevolutionandinfluencingfactors AT longwuliang greeneconomicefficiencyintheyangtzeriverdeltaspatiotemporalevolutionandinfluencingfactors |
_version_ |
1718379138203516928 |