IDEAS home Printed from https://ideas.repec.org/a/taf/chosxx/v31y2016i7p852-870.html
   My bibliography  Save this article

Housing in Chinese Urban Villages: The Dwellers, Conditions and Tenancy Informality

Author

Listed:
  • Fulong Wu

Abstract

While it is widely acknowledged that Chinese urban villages provide an important source of rental housing for low-income populations, the composition of their dwellers, housing conditions and rental contracts has not been adequately studied. Drawing from surveys of sixty urban villages in Beijing, Shanghai and Guangzhou, this study finds that housing in urban villages is more family oriented; that over half of dwellers work in the tertiary sector; and that although they have relatively stable jobs, few have job security with contracts. In predominantly rental housing, the housing unit is small. Tight control by the city government over housing development has led to quite expensive rentals measured by unit space as well as poorer housing conditions. Tenancy informality in terms of the absence of formal contracts is widespread and most severe in Shanghai. The lack of formal contracts is largely independent of the status of dwellers or their job status but is rather dependent upon the rent value.

Suggested Citation

  • Fulong Wu, 2016. "Housing in Chinese Urban Villages: The Dwellers, Conditions and Tenancy Informality," Housing Studies, Taylor & Francis Journals, vol. 31(7), pages 852-870, October.
  • Handle: RePEc:taf:chosxx:v:31:y:2016:i:7:p:852-870
    DOI: 10.1080/02673037.2016.1150429
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02673037.2016.1150429
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02673037.2016.1150429?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. Minhua Ling, 2021. "Container housing: Formal informality and deterritorialised home-making amid bulldozer urbanism in Shanghai," Urban Studies, Urban Studies Journal Limited, vol. 58(6), pages 1141-1157, May.
    2. Xingang Zhou & Zifeng Chen & Anthony GO Yeh & Yang Yue, 2021. "Workplace segregation of rural migrants in urban China: A case study of Shenzhen using cellphone big data," Environment and Planning B, , vol. 48(1), pages 25-42, January.
    3. Pan, Wenjian & Du, Juan, 2021. "Towards sustainable urban transition: A critical review of strategies and policies of urban village renewal in Shenzhen, China," Land Use Policy, Elsevier, vol. 111(C).
    4. Julia Gabriele Harten & Annette M Kim & J Cressica Brazier, 2021. "Real and fake data in Shanghai’s informal rental housing market: Groundtruthing data scraped from the internet," Urban Studies, Urban Studies Journal Limited, vol. 58(9), pages 1831-1845, July.
    5. Niu, Dongxiao & Sun, Weizeng & Zheng, Siqi, 2021. "The role of informal housing in lowering China’s urbanization costs," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    6. Ran Liu & Yuhang Jia, 2021. "Resilience and Circularity: Revisiting the Role of Urban Village in Rural-Urban Migration in Beijing, China," Land, MDPI, vol. 10(12), pages 1-13, November.
    7. Yanpeng Jiang & Paul Waley & Sara Gonzalez, 2018. "‘Nice apartments, no jobs’: How former villagers experienced displacement and resettlement in the western suburbs of Shanghai," Urban Studies, Urban Studies Journal Limited, vol. 55(14), pages 3202-3217, November.
    8. Zhao, Pengjun & Cao, Yushu, 2020. "Commuting inequity and its determinants in Shanghai: New findings from big-data analytics," Transport Policy, Elsevier, vol. 92(C), pages 20-37.
    9. Fulong Wu, 2018. "Planning centrality, market instruments: Governing Chinese urban transformation under state entrepreneurialism," Urban Studies, Urban Studies Journal Limited, vol. 55(7), pages 1383-1399, May.
    10. Hu, Lirong & He, Shenjing & Han, Zixuan & Xiao, He & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2019. "Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies," Land Use Policy, Elsevier, vol. 82(C), pages 657-673.

    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:chosxx:v:31:y:2016:i:7:p:852-870. 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/chos20 .

    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.