IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v88y2026ics1544612325023323.html

Directors' and officers' liability insurance, information disclosure and corporate investment efficiency

Author

Listed:
  • Tang, Wenping
  • Yeung, Chak Ha
  • Lu, Xiao

Abstract

This paper selects data from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2012 to 2023 as a sample to study the impact of Directors' and Officers' Liability Insurance (D&O insurance) on corporate investment efficiency and its varying effects under different governance environments. The empirical results show that purchasing D&O insurance can significantly reduce the absolute value of corporate investment efficiency and enhance the overall investment efficiency of enterprises. Further sub-sample regressions reveal that D&O insurance is negatively correlated with over-investment, indicating that purchasing D&O insurance can significantly curb excessive investment behavior in enterprises. The mediating effect shows that D&O insurance not only directly affects corporate investment efficiency but also indirectly improves it by enhancing information disclosure quality. The results of heterogeneity analysis demonstrate that in a governance environment where board supervision is not lacking and the board's supervision and restraint over managers are effective, the external supervisory role of D&O insurance can be more effectively exerted, and its positive governance effect on investment efficiency is more pronounced.

Suggested Citation

  • Tang, Wenping & Yeung, Chak Ha & Lu, Xiao, 2026. "Directors' and officers' liability insurance, information disclosure and corporate investment efficiency," Finance Research Letters, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:finlet:v:88:y:2026:i:c:s1544612325023323
    DOI: 10.1016/j.frl.2025.109083
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325023323
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.109083?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:88:y:2026:i:c:s1544612325023323. 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.