IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v103y2025ics1059056025005350.html
   My bibliography  Save this article

Exploring the mitigating role of sustainable innovation in supply chain disruption risks under the digital economy

Author

Listed:
  • Bai, Haoyu
  • Chen, Yuntan
  • Zhang, Ziyu

Abstract

In light of the growing prominence of supply chain disruption risks, it has become increasingly important to examine how the digital economy can mitigate operational risks faced by enterprises. Using data from non-financial A-share listed companies in Shanghai and Shenzhen from 2008 to 2023, this study constructs a firm-level indicator of supply chain disruption risk by deriving from the MD&A text and empirically investigates the impact of urban digital economy development on such risks with fixed effect model. Furthermore, it explores the mediating role of sustainable innovation and the heterogeneous effects across different types of enterprises. The findings reveal that: (1) the digital economy significantly reduces firms’ supply chain disruption risk, with the results remaining robust under various tests; (2) both exploratory and exploitative sustainable innovations serve as significant mediators in the relationship between the digital economy and supply chain disruption risk; (3) the risk-mitigating effects of the digital economy vary depending on ownership structure, financial performance, and industry type, with more pronounced effects observed in non-state-owned, profitable, and manufacturing firms. These findings offer policy-relevant insights into how regional digital infrastructure and innovation policy can enhance supply chain resilience amid global uncertainties.

Suggested Citation

  • Bai, Haoyu & Chen, Yuntan & Zhang, Ziyu, 2025. "Exploring the mitigating role of sustainable innovation in supply chain disruption risks under the digital economy," International Review of Economics & Finance, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:reveco:v:103:y:2025:i:c:s1059056025005350
    DOI: 10.1016/j.iref.2025.104372
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025005350
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104372?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:reveco:v:103:y:2025:i:c:s1059056025005350. 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.