IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v90y2026ics1544612325026480.html

Managerial climate risk perception bias and corporate investment inefficiency: Evidence from Chinese listed firms

Author

Listed:
  • Zhao, Yifan
  • Li, Jialong

Abstract

This paper investigates how managerial biases in perceiving climate risk affect corporate investment inefficiency. Using a sample of Chinese A-share listed firms from 2010 to 2022, we measure investment inefficiency based on the Richardson model and construct a proxy for managerial climate risk perception bias through textual analysis of annual reports combined with objective climate risk indicators. The empirical results show that greater perception bias significantly increases investment inefficiency. The effect is more pronounced for firms operating in eastern regions of China. Mechanism analysis reveals that managerial climate risk perception bias increases investment inefficiency through two channels: exacerbating financing constraints and distorting innovation expenditure. This study enriches the literature on behavioral finance by integrating managerial cognitive biases into the analysis of corporate investment inefficiency and provides policy implications for improving managerial risk awareness and enhancing firms’ long-term investment decisions.

Suggested Citation

  • Zhao, Yifan & Li, Jialong, 2026. "Managerial climate risk perception bias and corporate investment inefficiency: Evidence from Chinese listed firms," Finance Research Letters, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:finlet:v:90:y:2026:i:c:s1544612325026480
    DOI: 10.1016/j.frl.2025.109399
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325026480
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.109399?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:90:y:2026:i:c:s1544612325026480. 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.