IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v69y2024ipas1544612324011772.html
   My bibliography  Save this article

Perceived policy uncertainty and enterprise greenwashing risk

Author

Listed:
  • Sun, Haibo
  • Bai, Tonghuan
  • Liu, Zhonglu

Abstract

Using data of Chinese A-share listed enterprises from 2009 to 2022, this study analyzes the impact of perceived policy uncertainty on enterprise greenwashing risk. The research identifies a significant positive correlation between perceived policy uncertainty and greenwashing risk. The mechanism test shows that strong perceived policy uncertainty increases enterprise greenwashing risk by increasing financial risk and financing constraints. In addition, overcoming managerial myopia and encouraging green management innovation are key to avoiding enterprise greenwashing risk in an uncertain policy environment. The paper's conclusions offer the Chinese government information to improve policy coherence and prevent enterprise greenwashing risk.

Suggested Citation

  • Sun, Haibo & Bai, Tonghuan & Liu, Zhonglu, 2024. "Perceived policy uncertainty and enterprise greenwashing risk," Finance Research Letters, Elsevier, vol. 69(PA).
    • Handle: RePEc:eee:finlet:v:69:y:2024:i:pa:s1544612324011772
    DOI: 10.1016/j.frl.2024.106148
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324011772
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2024.106148?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 search for a different version of it.

    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:69:y:2024:i:pa:s1544612324011772. 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.