IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v92y2026icp1226-1235.html

How does FinTech promote rural revitalization?

Author

Listed:
  • Tang, Yu
  • Jin, Hao

Abstract

Utilizing panel data spanning from 2012 to 2023 across 31 Chinese provinces (excluding Taiwan, Hong Kong, and Macao), this research applies a fixed-effects regression framework to scrutinize the impact and underlying mechanisms of financial technology (FinTech) and the penetration of artificial intelligence (AII) on rural revitalization (RR). The empirical results reveal that FinTech exerts a substantial positive effect on RR, while AII serves as a moderating factor in the nexus between FinTech and RR. Furthermore, FinTech contributes to RR by facilitating the rural digitalization process. Notably, the influence of FinTech on RR demonstrates significant regional disparities, contingent upon the varying levels of agricultural economic resilience across different regions.The research findings of this study hold significant theoretical and practical value: First, it verifies the moderating effect of AII in the relationship between FinTech and RR, expanding the theoretical boundaries of digital technology-driven rural development; Second, by identifying the mediating pathway of rural digitalization, this study provides policy implications for optimizing rural digital infrastructure deployment; Third, the results of heterogeneity analysis offer scientific references for formulating differentiated FinTech policies and achieving precision revitalization in regions with varying levels of agricultural economic resilience.

Suggested Citation

  • Tang, Yu & Jin, Hao, 2026. "How does FinTech promote rural revitalization?," Economic Analysis and Policy, Elsevier, vol. 92(C), pages 1226-1235.
  • Handle: RePEc:eee:ecanpo:v:92:y:2026:i:c:p:1226-1235
    DOI: 10.1016/j.eap.2026.07.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592626002638
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2026.07.012?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    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:eee:ecanpo:v:92:y:2026:i:c:p:1226-1235. 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.journals.elsevier.com/economic-analysis-and-policy .

    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.