IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v106y2025ics1057521925006143.html
   My bibliography  Save this article

Digital transformation and green finance efficiency of tourism enterprises: The effect of credit ratings

Author

Listed:
  • Ye, Xincai
  • Miao, Lin

Abstract

With the growth of digital technologies, tourism companies have accelerated their digital transformation in recent years to improve efficiency and profitability. In this research, we explore the implications of digital transformation for tourism firms' green finance efficiency. Grounded in a comprehensive panel of publicly traded tourism enterprises from 2000 to 2024, this paper offers strong evidence that digital transformation has substantially boosted green finance efficiency of tourism firms, and this effect is even larger for tourism enterprises with lower credit ratings. Further research shows that information transparency and cost efficiency are vital economic channels. Our findings are consistent across multiple endogeneity and sensitivity analyses. Overall, this paper greatly advances the burgeoning studies on digital transformation, green finance, and tourism studies.

Suggested Citation

  • Ye, Xincai & Miao, Lin, 2025. "Digital transformation and green finance efficiency of tourism enterprises: The effect of credit ratings," International Review of Financial Analysis, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:finana:v:106:y:2025:i:c:s1057521925006143
    DOI: 10.1016/j.irfa.2025.104527
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925006143
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104527?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:finana:v:106:y:2025:i:c:s1057521925006143. 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/620166 .

    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.