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The impact of green behavior on spatial heterogeneity of city green development-the case of Yangtze River Delta city cluster.

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Title: The impact of green behavior on spatial heterogeneity of city green development-the case of Yangtze River Delta city cluster.
Authors: Zhang, Chao1,2 (AUTHOR) zhangchao16423@126.com, Tian, Lixin1,3 (AUTHOR) tianlx@ujs.edu.cn, Zhen, Zaili1,4 (AUTHOR) zhenzaili@ujs.edu.cn
Source: Environment, Development & Sustainability. Jul2026, Vol. 28 Issue 7, p15987-16014. 28p.
Subject Terms: *Green behavior, *Spatial variation, *Sustainable development, *Renewable energy industry, *Technological innovations, *Regional development, *Emission control
Geographic Terms: Nanjing (Jiangsu Sheng, China), Suzhou (Jiangsu Sheng, China), Yangtze River Delta (China), Hangzhou (China), Shanghai (China), Yangtze River (China)
Abstract: Based on the scenario of enterprises and residents actively practicing green behaviors, this paper constructs a spatial general equilibrium model driven by green behaviors, incorporates green products into production and consumption, analyzes the effects of green industry agglomeration, emission reduction research & development and technological innovation, and trade costs on city green development, and proposes a spatial and temporal variability index for city green development. The results of the study show that cities with a larger share of green industries have lower knowledge innovation costs and significant innovation effects; the difference in the level of actual benefits from innovation between cities increases with the increase in the difference in the share of green industries; and the increase in the cost of intra-regional trade prompts the clustering of green industries in cities with an advantage in green development. Further quantitative results show that the green development level of the Yangtze River Delta city cluster is not high, and the regional development differences are obvious, but the overall level gradually improves, the spatial heterogeneity decreases, and presents a spatial pattern with Shanghai and Suzhou as the "twin peaks", the regional central cities (Nanjing, Hangzhou, Hefei, and Ningbo) as the leading cities, and the metropolitan area effect is obvious. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194936969
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: The impact of green behavior on spatial heterogeneity of city green development-the case of Yangtze River Delta city cluster.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Chao%22">Zhang, Chao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhangchao16423@126.com</i><br /><searchLink fieldCode="AR" term="%22Tian%2C+Lixin%22">Tian, Lixin</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> tianlx@ujs.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhen%2C+Zaili%22">Zhen, Zaili</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> zhenzaili@ujs.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Jul2026, Vol. 28 Issue 7, p15987-16014. 28p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Green+behavior%22">Green behavior</searchLink><br />*<searchLink fieldCode="DE" term="%22Spatial+variation%22">Spatial variation</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainable+development%22">Sustainable development</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+industry%22">Renewable energy industry</searchLink><br />*<searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br />*<searchLink fieldCode="DE" term="%22Regional+development%22">Regional development</searchLink><br />*<searchLink fieldCode="DE" term="%22Emission+control%22">Emission control</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Nanjing+%28Jiangsu+Sheng%2C+China%29%22">Nanjing (Jiangsu Sheng, China)</searchLink><br /><searchLink fieldCode="DE" term="%22Suzhou+%28Jiangsu+Sheng%2C+China%29%22">Suzhou (Jiangsu Sheng, China)</searchLink><br /><searchLink fieldCode="DE" term="%22Yangtze+River+Delta+%28China%29%22">Yangtze River Delta (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Hangzhou+%28China%29%22">Hangzhou (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Shanghai+%28China%29%22">Shanghai (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Yangtze+River+%28China%29%22">Yangtze River (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Based on the scenario of enterprises and residents actively practicing green behaviors, this paper constructs a spatial general equilibrium model driven by green behaviors, incorporates green products into production and consumption, analyzes the effects of green industry agglomeration, emission reduction research & development and technological innovation, and trade costs on city green development, and proposes a spatial and temporal variability index for city green development. The results of the study show that cities with a larger share of green industries have lower knowledge innovation costs and significant innovation effects; the difference in the level of actual benefits from innovation between cities increases with the increase in the difference in the share of green industries; and the increase in the cost of intra-regional trade prompts the clustering of green industries in cities with an advantage in green development. Further quantitative results show that the green development level of the Yangtze River Delta city cluster is not high, and the regional development differences are obvious, but the overall level gradually improves, the spatial heterogeneity decreases, and presents a spatial pattern with Shanghai and Suzhou as the "twin peaks", the regional central cities (Nanjing, Hangzhou, Hefei, and Ningbo) as the leading cities, and the metropolitan area effect is obvious. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10668-024-05603-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 15987
    Subjects:
      – SubjectFull: Green behavior
        Type: general
      – SubjectFull: Spatial variation
        Type: general
      – SubjectFull: Sustainable development
        Type: general
      – SubjectFull: Renewable energy industry
        Type: general
      – SubjectFull: Technological innovations
        Type: general
      – SubjectFull: Regional development
        Type: general
      – SubjectFull: Emission control
        Type: general
      – SubjectFull: Nanjing (Jiangsu Sheng, China)
        Type: general
      – SubjectFull: Suzhou (Jiangsu Sheng, China)
        Type: general
      – SubjectFull: Yangtze River Delta (China)
        Type: general
      – SubjectFull: Hangzhou (China)
        Type: general
      – SubjectFull: Shanghai (China)
        Type: general
      – SubjectFull: Yangtze River (China)
        Type: general
    Titles:
      – TitleFull: The impact of green behavior on spatial heterogeneity of city green development-the case of Yangtze River Delta city cluster.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang, Chao
      – PersonEntity:
          Name:
            NameFull: Tian, Lixin
      – PersonEntity:
          Name:
            NameFull: Zhen, Zaili
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 1387585X
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Environment, Development & Sustainability
              Type: main
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