IDEAS home Printed from https://ideas.repec.org/a/taf/rjusxx/v21y2017i3p282-299.html
   My bibliography  Save this article

Migrant workers’ choices of resettlements in the redevelopment of urban villages in China: the case of Beijing

Author

Listed:
  • Ning Chai
  • Mack Joong Choi

Abstract

In China, urban villages have provided low-cost housing for the workers who have migrated from rural area into a city, but confronted redevelopment as they have resulted in various urban problems. In comparison to the rural–urban migration, this study pays an attention to the second-stage migration caused by redevelopment of urban villages in which migrant workers have four choices of settlements: return to rural area, relocation to another urban village, relocation to urban area, resettlement in redeveloped urban village. Based on the field survey data collected from six urban villages of Beijing, it empirically analyses migrant workers’ choices for settlement options and the factors influencing the choices, using multinomial logistic regression model. The results show that the migrant workers take serious consideration of all four settlement options and their choices are affected by various personal characteristics as well as redevelopment characteristics. Based on the findings, this study suggests some policies to encourage resettlements of migrant workers from a viewpoint of sustainable development of Chinese cities.

Suggested Citation

  • Ning Chai & Mack Joong Choi, 2017. "Migrant workers’ choices of resettlements in the redevelopment of urban villages in China: the case of Beijing," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(3), pages 282-299, September.
    • Handle: RePEc:taf:rjusxx:v:21:y:2017:i:3:p:282-299
    DOI: 10.1080/12265934.2017.1290542
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/12265934.2017.1290542
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/12265934.2017.1290542?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaewon Lim & Jae Hong Kim, 2019. "Joint Determination of Residential Relocation and Commuting: A Forecasting Experiment for Sustainable Land Use and Transportation Planning," Sustainability, MDPI, vol. 11(1), pages 1-24, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rjusxx:v:21:y:2017:i:3:p:282-299. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rjus20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.