IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v92y2026icp1049-1066.html

How data factor marketization reconstructs enterprise supply chain resilience?

Author

Listed:
  • Ma, Shuxia
  • Guo, Yichun

Abstract

How data factor marketization empowers enterprise to enhance supply chain resilience amid the deep integration of the digital economy and supply chain security has become an urgent research priority. Based on this, this paper uses the establishment of data trading platform as a quasi-natural experiment to systematically examine the mechanisms through which data factor marketization affects enterprise supply chain resilience.It is found that data factor marketization can significantly enhance enterprise supply chain resilience. The mechanism analysis shows that the policy effect is mainly realized through three parallel paths: enhancing the availability of corporate credit, improving the quantity and quality of corporate innovation, and reducing agency costs. Heterogeneity analysis indicates that the policy's stimulatory effect is particularly pronounced in firms with high levels of digital transformation, a large proportion of highly skilled personnel, high supply chain transparency, and high supply chain concentration, as well as in firms operating in environments characterized by intense industry competition and advanced regional financial development.This paper enriches the theoretical understanding of data economy and supply chain management from a factor marketization perspective, and offers empirical evidence and practical insights for governments to deepen data factor marketization reform and for firms to leverage data resources for supply chain resilience.

Suggested Citation

  • Ma, Shuxia & Guo, Yichun, 2026. "How data factor marketization reconstructs enterprise supply chain resilience?," Economic Analysis and Policy, Elsevier, vol. 92(C), pages 1049-1066.
    • Handle: RePEc:eee:ecanpo:v:92:y:2026:i:c:p:1049-1066
    DOI: 10.1016/j.eap.2026.06.051
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S031359262600247X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2026.06.051?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:1049-1066. 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.