IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i8p3308-d1630475.html
   My bibliography  Save this article

A Study on the Impact of Corporate Digital Transformation on Environmental, Social, and Governance (ESG) Performance: Mechanism Analysis Based on Resource Allocation Efficiency and Technological Gap

Author

Listed:
  • Yu Sang

    (Faculty of Business and Technology, University of Cyberjaya, Persiaran Bestari, Cyber 11, Cyberjaya 63000, Darul Ehsan, Malaysia)

  • Kannan Loganathan

    (Faculty of Business and Technology, University of Cyberjaya, Persiaran Bestari, Cyber 11, Cyberjaya 63000, Darul Ehsan, Malaysia)

  • Priya Sukirthanandan

    (Faculty of Business and Technology, University of Cyberjaya, Persiaran Bestari, Cyber 11, Cyberjaya 63000, Darul Ehsan, Malaysia)

Abstract

For a country like China, which places equal emphasis on economic development and environmental governance, the exploration of the potential of digital transformation to enhance corporate Environmental, Social, and Governance (ESG) performance is of paramount importance in achieving the carbon peak target by 2030. Accordingly, this paper employs a two-way fixed-effects model to analyze the impact of digital transformation on corporate ESG performance, based on annual data from Chinese listed companies from 2014 to 2023. On this basis, we established a theoretical framework and implemented a dual fixed-effects model. The findings argue that digital transformation materially enhances corporate ESG performance, primarily by enhancing resource allocation efficiency and narrowing the technological gap. The research results are confirmed to be valid through rigorous robustness testing and endogeneity analysis, with evident effects observed in large-scale, technology-intensive, asset-intensive, central–eastern regions, and high-tech enterprises. This research offers both theoretical foundations and practical insights for companies pursuing ESG performance enhancement through digital transformation while also providing a valuable point of reference for policymakers working toward green transformation and the carbon peaking target.

Suggested Citation

  • Yu Sang & Kannan Loganathan & Priya Sukirthanandan, 2025. "A Study on the Impact of Corporate Digital Transformation on Environmental, Social, and Governance (ESG) Performance: Mechanism Analysis Based on Resource Allocation Efficiency and Technological Gap," Sustainability, MDPI, vol. 17(8), pages 1-31, April.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:8:p:3308-:d:1630475
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/8/3308/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/8/3308/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:17:y:2025:i:8:p:3308-:d:1630475. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.