IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v100y2025ics1049007825001022.html
   My bibliography  Save this article

Open government data and personal default: Evidence from China

Author

Listed:
  • Wei, Qingfang
  • Liu, Yuan
  • Cai, Weixing
  • Wan, Jiangtao

Abstract

This paper employs a quasi-natural experiment and a double-difference model to explore the impact of Open Government Data (OGD) on personal default in China. Our findings demonstrate that OGD significantly reduces instances of personal default, highlighting its positive role in enhancing the social credit system. Mechanism analysis indicates that this reduction occurs primarily through the alleviation of entrepreneurial failure risk, improved risk management capabilities among banks, and the optimization of regional commercial credit environments. Heterogeneity analysis reveals that the influence of OGD is particularly pronounced in regions characterized by higher risk tolerance, greater economic policy uncertainty, enhanced information accessibility, and more mobile traditional factors. Additionally, the effect is more significant among young and middle-aged individuals. These findings contribute empirical insights that may inform the establishment of social credit systems particularly in developing countries.

Suggested Citation

  • Wei, Qingfang & Liu, Yuan & Cai, Weixing & Wan, Jiangtao, 2025. "Open government data and personal default: Evidence from China," Journal of Asian Economics, Elsevier, vol. 100(C).
  • Handle: RePEc:eee:asieco:v:100:y:2025:i:c:s1049007825001022
    DOI: 10.1016/j.asieco.2025.101978
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049007825001022
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.asieco.2025.101978?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

    ;
    ;
    ;

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    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:asieco:v:100:y:2025:i:c:s1049007825001022. 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/asieco .

    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.