IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v82y2026ics0275531925005203.html

Corporate digitalization and ESG rating divergence: Evidence from China

Author

Listed:
  • Chen, Jingpeng
  • Lin, Haiying

Abstract

Different ESG rating agencies often produce significantly divergent assessments for the same firm, posing a substantial challenge for both stakeholders and firms. This divergence can mislead stakeholders, creating confusion and eroding trust in ESG assessments. Previous studies have primarily attributed ESG rating divergence to the lack of universal criteria among rating agencies. However, a more significant yet understudied factor is the information asymmetry between firms and rating agencies. Using a panel dataset of 22,314 firm-year observations from 4102 listed companies in China, we find support that explains how digitalization reduces ESG rating divergence. Drawing on signaling theory, we investigate the effect of firms' digitalization on ESG rating divergence. We argue that digitalization enables firms to reduce information asymmetry with rating agencies, thereby reducing ESG rating divergences. This effect is more pronounced for firms with greater media and analyst coverage. This study contributes to the literature on ESG reporting and information asymmetry, offering insights for practitioners to leverage digitalization to enhance ESG reporting transparency.

Suggested Citation

  • Chen, Jingpeng & Lin, Haiying, 2026. "Corporate digitalization and ESG rating divergence: Evidence from China," Research in International Business and Finance, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:riibaf:v:82:y:2026:i:c:s0275531925005203
    DOI: 10.1016/j.ribaf.2025.103264
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531925005203
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2025.103264?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:riibaf:v:82:y:2026:i:c:s0275531925005203. 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/ribaf .

    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.