IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v89y2026ics1544612325025954.html

Can motivated funds mitigate ESG disagreement? Evidence from China

Author

Listed:
  • Huang, Xiaobei
  • Song, Yunling
  • Wu, Hao
  • Lin, Lirong

Abstract

This study investigates how motivated funds—defined as institutional investors holding firms in their top 10 % portfolio positions by market capitalization—mitigate ESG rating disagreement in China’s capital markets. Analyzing 16,116 A-share firm-year observations (2017–2021), we find that their ownership significantly reduces environmental, social, and governance (ESG) rating discrepancies, particularly among firms with superior information transparency or heightened external scrutiny. These funds concurrently enhance ESG disclosure quality, increasing the likelihood of voluntary reporting by 23.7 % while reducing textual similarity across sustainability reports. Critically, although ESG divergence exacerbates stock price volatility and synchronicity, the presence of motivated funds attenuates these distortions. Our results identify concentrated institutional investors as governance intermediaries that alleviate ESG information asymmetry, even in markets dominated by controlling shareholders, thereby providing regulators with actionable insights for advancing sustainable finance in emerging economies.

Suggested Citation

  • Huang, Xiaobei & Song, Yunling & Wu, Hao & Lin, Lirong, 2026. "Can motivated funds mitigate ESG disagreement? Evidence from China," Finance Research Letters, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:finlet:v:89:y:2026:i:c:s1544612325025954
    DOI: 10.1016/j.frl.2025.109346
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325025954
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.109346?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:finlet:v:89:y:2026:i:c:s1544612325025954. 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/frl .

    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.