IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v103y2025ics1059056025005398.html
   My bibliography  Save this article

How does corporate unethical behavior affect corporate performance?

Author

Listed:
  • Xu, Ying
  • Zhang, Mengliu
  • Zhang, Huansen
  • Liu, Lili

Abstract

This paper uses data from Chinese listed companies from 2007 to 2022 as an empirical sample to conduct an in-depth and systematic investigation of the relationship between corporate unethical behavior, media sentiment, and corporate performance. Through rigorous empirical analysis, the study finds a significant negative correlation between corporate unethical behavior and corporate performance; media sentiment plays a mediating role in the relationship between corporate unethical behavior and corporate performance, with this mediating effect exhibiting notable heterogeneity between high-tech and non-high-tech enterprises. The quality of corporate information plays a crucial moderating role in the relationship between corporate unethical behavior and corporate performance. The negative correlation between corporate unethical behavior and corporate performance shows significant heterogeneity between loss-making and profit-making enterprises.

Suggested Citation

  • Xu, Ying & Zhang, Mengliu & Zhang, Huansen & Liu, Lili, 2025. "How does corporate unethical behavior affect corporate performance?," International Review of Economics & Finance, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:reveco:v:103:y:2025:i:c:s1059056025005398
    DOI: 10.1016/j.iref.2025.104376
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025005398
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104376?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:reveco:v:103:y:2025:i:c:s1059056025005398. 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/620165 .

    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.