IDEAS home Printed from https://ideas.repec.org/a/eee/glofin/v67y2025ics1044028325000882.html
   My bibliography  Save this article

When ESG news talks: How media sentiment shapes corporate financial behavior in China

Author

Listed:
  • Tan, Weijie
  • Liu, Yiqian
  • Teng, Mingming

Abstract

News sentiment affects company practices. Using Baidu News reports spanning 2007–2022 on Chinese A-share listed companies as text data and machine learning and text analysis methods, this study measures environmental, social, and governance (ESG) news sentiment indices. This study examines the impact of ESG news sentiment on corporate financial asset allocation. Findings reveal that optimistic ESG news sentiment has a significant negative impact on corporate financial asset allocation. Mechanism analysis indicates that ESG news sentiment can restrain corporate financialization by facilitating corporate access to ESG-related financial support, reducing operational risks, and promoting real investments, which weakens risk aversion and profit-seeking motives. Further analysis reveals that the financialization governance function of ESG news sentiment is more prominent for private enterprises, during nonrecession periods, and for heavily polluting enterprises. Moreover, it is significant in regions with superior digital financial development and higher ESG governance intensity. From the perspective of ESG news content and information, the environmental and governance dimensions of news sentiment and neutral ESG news attention exhibit stronger financialization suppression effects. This study provides a new perspective for addressing financialization concerns and demonstrates the supervisory influence of the media on corporate sustainability.

Suggested Citation

  • Tan, Weijie & Liu, Yiqian & Teng, Mingming, 2025. "When ESG news talks: How media sentiment shapes corporate financial behavior in China," Global Finance Journal, Elsevier, vol. 67(C).
  • Handle: RePEc:eee:glofin:v:67:y:2025:i:c:s1044028325000882
    DOI: 10.1016/j.gfj.2025.101161
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1044028325000882
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.gfj.2025.101161?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:glofin:v:67:y:2025:i:c:s1044028325000882. 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/620162 .

    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.