IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v95y2024ics1059056024004970.html
   My bibliography  Save this article

Does rural e-commerce improve the economic resilience of family farms?

Author

Listed:
  • Huang, Zengjian
  • Wang, Leyi
  • Meng, Jing

Abstract

E-commerce and other digital economies are emerging drivers for high-quality development in the Chinese economy. Based on the e-commerce plan in rural China, this paper investigates the effect of e-commerce development on the economic resilience of family farms, using data from 110,574 family farms in China from 2013 to 2021 and applying the staggered DID method. The results show that e-commerce development significantly enhances the resilience of family farms. Mechanism tests reveal that e-commerce policy substantially reduces the financing constraints of family farms and curbs underinvestment, thereby boosting their resilience. However, the effect on family farms with overinvestment is not significant. Additionally, the analysis of heterogeneity indicates that e-commerce has a greater impact on the resilience of family farms in areas with better institutional quality. Regarding the development status of the farm, the impact of e-commerce on resilience is greater in large-scale and capital-intensive family farms. Overall, this study sheds light on the actual impact of rural e-commerce in China on the economic resilience of family farms and offers valuable empirical insights for the revitalization of rural areas in developing countries.

Suggested Citation

  • Huang, Zengjian & Wang, Leyi & Meng, Jing, 2024. "Does rural e-commerce improve the economic resilience of family farms?," International Review of Economics & Finance, Elsevier, vol. 95(C).
  • Handle: RePEc:eee:reveco:v:95:y:2024:i:c:s1059056024004970
    DOI: 10.1016/j.iref.2024.103505
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056024004970
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2024.103505?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.

    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:eee:reveco:v:95:y:2024:i:c:s1059056024004970. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.