IDEAS home Printed from https://ideas.repec.org/a/taf/chosxx/v36y2021i4p455-478.html
   My bibliography  Save this article

Housing affordability, subsidized lending and cross-city variation in the performance of China’s housing provident fund program

Author

Listed:
  • Lan Deng
  • Xiang Yan
  • Jie Chen

Abstract

This study examines the cross-city variation in the performance of China’s Housing Provident Fund (HPF) program, a collective saving scheme that provides subsidized lending to support participants’ home purchases. It finds that while the program as a whole is limited in both participation and benefit provision, the level of HPF activities has differed across localities. Panel-data analysis of HPF lending in seven cities reveals that local housing affordability was an important determinant of who benefited from the program. Rising housing price increased the demand for HPF loans. But if price rose too high relative to household income, the share of participants who used HPF loans declined. This shows that as the program currently operates, expanding HPF participation would only increase the inequality in the distribution of program benefits. Finally, we did not find evidence for the counter-cyclic effects that HPF lending was expected to have in relation to bank lending. These findings have important implications for the program’s future reform.

Suggested Citation

  • Lan Deng & Xiang Yan & Jie Chen, 2021. "Housing affordability, subsidized lending and cross-city variation in the performance of China’s housing provident fund program," Housing Studies, Taylor & Francis Journals, vol. 36(4), pages 455-478, June.
  • Handle: RePEc:taf:chosxx:v:36:y:2021:i:4:p:455-478
    DOI: 10.1080/02673037.2019.1585521
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02673037.2019.1585521
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02673037.2019.1585521?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. Chen, Jie & Wu, Fulong & Lu, Tingting, 2022. "The financialization of rental housing in China: A case study of the asset-light financing model of long-term apartment rental," Land Use Policy, Elsevier, vol. 112(C).

    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:36:y:2021:i:4:p:455-478. 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.