Sustainable Development Path of Poverty Alleviation for Migrants in Urban Centralized Resettlement Areas in China.

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Title: Sustainable Development Path of Poverty Alleviation for Migrants in Urban Centralized Resettlement Areas in China.
Authors: Wu, Jing1 (AUTHOR) 825464712@qq.com, Chen, Shaojun2 (AUTHOR) shaojun_chen@126.com, Xu, Langxing3 (AUTHOR) 429342334@qq.com
Source: Journal of Urban Planning & Development. Jun2026, Vol. 152 Issue 2, p1-11. 11p.
Subjects: Sustainable development, Involuntary relocation, Poverty reduction, Social capital, Internal migration, Social processes, Economic activity, Logistic regression analysis
Geographic Terms: Guizhou Sheng (China), China
Abstract: As an essential regional planning policy, poverty alleviation relocation significantly impacts the regional economy, environment, and social well-being and is critical for sustainable development in China. Based on the development of large urban centralized resettlement areas in Guizhou Province, this study improved the traditional sustainable livelihood analysis framework and constructed a livelihood capital evaluation system including natural, physical, financial, social, human, and cultural capital. Utilizing a logistic regression model, it examined the relationship between the mix of livelihood capital and the livelihood strategies employed by migrant families. Furthermore, it elucidates the key transition factors from short-term gig to long-term employment and self-management. The findings are as follows: (1) Overall, the livelihood capital of migrant families has improved to varying degrees under the three livelihood strategies following relocation. (2) Human capital exerts a significant positive influence on short-term gig-type livelihood strategies, whereas social capital demonstrates a notable negative effect. Conversely, all human, social, and cultural capital positively impact long-term employment-type livelihood strategies. Financial and cultural capital positively impact self-management-type livelihood strategies, whereas human capital demonstrates a notable negative effect. (3) Human capital is pivotal in facilitating the transition of livelihood strategies from short-term gig to long-term employment; key factors include the distance of the land, skill training situation, interpersonal communication, and extent of reliance on government support. Social capital is pivotal in facilitating the transition of livelihood strategies from short-term gig to self-management; key factors include the area of household forest land, total household savings, household head's education level, participation in public affairs, and extent of reliance on government support. Based on these findings and following the sustainable development pathway of factor identification → macrosupport → microsupport, systematic recommendations are provided for optimizing late-stage support mechanisms at both macro- and microlevels. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Urban Planning & Development is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Sustainable Development Path of Poverty Alleviation for Migrants in Urban Centralized Resettlement Areas in China.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Jing%22">Wu, Jing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 825464712@qq.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Shaojun%22">Chen, Shaojun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> shaojun_chen@126.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Langxing%22">Xu, Langxing</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> 429342334@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Urban+Planning+%26+Development%22">Journal of Urban Planning & Development</searchLink>. Jun2026, Vol. 152 Issue 2, p1-11. 11p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Sustainable+development%22">Sustainable development</searchLink><br /><searchLink fieldCode="DE" term="%22Involuntary+relocation%22">Involuntary relocation</searchLink><br /><searchLink fieldCode="DE" term="%22Poverty+reduction%22">Poverty reduction</searchLink><br /><searchLink fieldCode="DE" term="%22Social+capital%22">Social capital</searchLink><br /><searchLink fieldCode="DE" term="%22Internal+migration%22">Internal migration</searchLink><br /><searchLink fieldCode="DE" term="%22Social+processes%22">Social processes</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+activity%22">Economic activity</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Guizhou+Sheng+%28China%29%22">Guizhou Sheng (China)</searchLink><br /><searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: As an essential regional planning policy, poverty alleviation relocation significantly impacts the regional economy, environment, and social well-being and is critical for sustainable development in China. Based on the development of large urban centralized resettlement areas in Guizhou Province, this study improved the traditional sustainable livelihood analysis framework and constructed a livelihood capital evaluation system including natural, physical, financial, social, human, and cultural capital. Utilizing a logistic regression model, it examined the relationship between the mix of livelihood capital and the livelihood strategies employed by migrant families. Furthermore, it elucidates the key transition factors from short-term gig to long-term employment and self-management. The findings are as follows: (1) Overall, the livelihood capital of migrant families has improved to varying degrees under the three livelihood strategies following relocation. (2) Human capital exerts a significant positive influence on short-term gig-type livelihood strategies, whereas social capital demonstrates a notable negative effect. Conversely, all human, social, and cultural capital positively impact long-term employment-type livelihood strategies. Financial and cultural capital positively impact self-management-type livelihood strategies, whereas human capital demonstrates a notable negative effect. (3) Human capital is pivotal in facilitating the transition of livelihood strategies from short-term gig to long-term employment; key factors include the distance of the land, skill training situation, interpersonal communication, and extent of reliance on government support. Social capital is pivotal in facilitating the transition of livelihood strategies from short-term gig to self-management; key factors include the area of household forest land, total household savings, household head's education level, participation in public affairs, and extent of reliance on government support. Based on these findings and following the sustainable development pathway of factor identification → macrosupport → microsupport, systematic recommendations are provided for optimizing late-stage support mechanisms at both macro- and microlevels. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Urban Planning & Development is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1061/JUPDDM.UPENG-5954
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Sustainable development
        Type: general
      – SubjectFull: Involuntary relocation
        Type: general
      – SubjectFull: Poverty reduction
        Type: general
      – SubjectFull: Social capital
        Type: general
      – SubjectFull: Internal migration
        Type: general
      – SubjectFull: Social processes
        Type: general
      – SubjectFull: Economic activity
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Guizhou Sheng (China)
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Sustainable Development Path of Poverty Alleviation for Migrants in Urban Centralized Resettlement Areas in China.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Wu, Jing
      – PersonEntity:
          Name:
            NameFull: Chen, Shaojun
      – PersonEntity:
          Name:
            NameFull: Xu, Langxing
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 07339488
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              Value: 152
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              Value: 2
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            – TitleFull: Journal of Urban Planning & Development
              Type: main
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