IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v87y2025icp1058-1072.html
   My bibliography  Save this article

The influence of supply chain digitalization on enterprise ESG performance: A quasi-natural experiment based on pilot policies for supply chain innovation and application

Author

Listed:
  • Xu, Bin
  • Guo, Qin
  • Chen, Lingming

Abstract

This paper takes Chinese A-share listed companies from 2012 to 2022 as the research sample and uses the difference-in-differences model to analyze the impact of supply chain digitization on corporate Environmental, Social and Governance (ESG) performance and its mechanism. The study finds that supply chain digitization significantly improves corporate ESG performance. Heterogeneity analysis finds that supply chain digitization has a more significant role in improving ESG performance in state-owned enterprises, high-tech industries, and enterprises with a low level of risk-taking. Mechanism analysis shows that supply chain digitization improves corporate ESG performance by promoting green technology innovation and increasing supply chain information transparency. Further analysis reveals that there is a negative moderating effect of the supply chain innovation and application pilot policy in the process of the impact of enterprise digital transformation on enterprise ESG performance.This paper expands the relevant research on supply chain digitization and provides strong empirical evidence and inspiration for promoting the development of corporate ESG from the perspective of digital empowerment.

Suggested Citation

  • Xu, Bin & Guo, Qin & Chen, Lingming, 2025. "The influence of supply chain digitalization on enterprise ESG performance: A quasi-natural experiment based on pilot policies for supply chain innovation and application," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1058-1072.
    • Handle: RePEc:eee:ecanpo:v:87:y:2025:i:c:p:1058-1072
    DOI: 10.1016/j.eap.2025.06.037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592625002668
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2025.06.037?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:87:y:2025:i:c:p:1058-1072. 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.