IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v86y2025ipcs1544612325017908.html

Can digital inclusive finance simultaneously enhance carbon productivity and green total factor productivity?

Author

Listed:
  • Huang, Xiao
  • Yang, Hong

Abstract

Utilizing panel data spanning 2010–2023 across 31 Chinese provincial-level administrative regions (excluding Taiwan, Hong Kong, and Macao), this study implements a fixed effects regression framework to analyze how Digital Inclusive Finance (DIF) adoption influences regional carbon productivity and Green Total Factor Productivity (GTFP). The study finds that: DIF significantly enhances regional carbon productivity; DIF significantly improves regional GTFP; DIF can enhance regional carbon productivity by promoting green technological innovation; DIF can also improve regional GTFP through fostering green technological innovation(GTI); furthermore, the effects of DIF on regional carbon productivity and GTFP exhibit heterogeneity across different regions.

Suggested Citation

  • Huang, Xiao & Yang, Hong, 2025. "Can digital inclusive finance simultaneously enhance carbon productivity and green total factor productivity?," Finance Research Letters, Elsevier, vol. 86(PC).
    • Handle: RePEc:eee:finlet:v:86:y:2025:i:pc:s1544612325017908
    DOI: 10.1016/j.frl.2025.108536
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325017908
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2025.108536?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:86:y:2025:i:pc:s1544612325017908. 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.