IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2025_213.html

Hometown landholdings and rural migrants’ housing tenure choices in urban China: Evidence from CMDS

Author

Listed:
  • Jing Zou
  • Wang Baitao
  • Xiaoxuan Lan
  • Xiaojun Deng

Abstract

While rural migrant housing tenure choice is a major policy concern, little is known about the association between hometown landholdings and rural migrants’ housing tenure choices. Using national micro data from the 2017 China Migrants Dynamic Survey (CMDS), we examine the relationship between landholdings in places of origin and housing tenure choices by rural migrants in Chinese cities. By applying the probit model and the propensity score matching (PSM) method, the results clearly show that owning contracted land at hometown is positively associated with rural migrants’ housing tenure choices, while owning housing land in the place of origin is negatively associated with rural migrants’ housing tenure choices. When migrants own both types of land, the overall effect is negative. The possible mechanism is that contracted land affects rural migrants’ housing tenure choices through an economic effect, while housing land affects rural migrants’ housing tenure choice through emotional connection, which make migrants strengthen links with their hometown, interact more with fellow townspeople, and weaken their willingness to settle in the city, thus reduce the probability of buying houses. Further analysis shows that the relationship between hometown landholdings and housing tenure choices among rural migrants is highly heterogeneous across different generations and destination groups. The research conclusions of this paper are not only beneficial for improving China’s land and housing system but also have important reference significance for other countries.

Suggested Citation

  • Jing Zou & Wang Baitao & Xiaoxuan Lan & Xiaojun Deng, 2025. "Hometown landholdings and rural migrants’ housing tenure choices in urban China: Evidence from CMDS," ERES eres2025_213, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2025_213
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2025-213
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arz:wpaper:eres2025_213. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    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.