IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v101y2025ics1057521925001188.html
   My bibliography  Save this article

Nonlinear influence of digital finance on green economic efficiency

Author

Listed:
  • Liang, Guibao
  • Xia, Qiao
  • Zhang, Lijie

Abstract

Digital finance (DF) significantly improves green economic efficiency (GEE) by promoting technological innovation and the flow of factors with environmental friendliness. Using panel data from 30 provinces in China from 2011 to 2020, this study uses the super-efficiency Slack-Based Measure(SBM) model with undesirable outputs to measure provincial GEE. This study tests the nonlinear impact of DF on GEE and conducts a heterogeneity analysis. The findings show that (1) a significant, positive U-shaped nonlinear relationship exists between DF and GEE, validated by a robustness test and the instrumental variable model. (2) The U-shaped relationship between DF and GEE is significant in undeveloped regions. Meanwhile, the findings show a linear promoting effect in developed areas. (3) Mechanism research demonstrates that the regional technological innovation level is an effective mechanism of the U-shaped relationship. (4) The moderating effects test finds that environmental regulation can positively moderate the nonlinear relationship between DF and GEE. Therefore, the government should fully leverage the functions of DF to improve GEE.

Suggested Citation

  • Liang, Guibao & Xia, Qiao & Zhang, Lijie, 2025. "Nonlinear influence of digital finance on green economic efficiency," International Review of Financial Analysis, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:finana:v:101:y:2025:i:c:s1057521925001188
    DOI: 10.1016/j.irfa.2025.104031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925001188
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104031?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:finana:v:101:y:2025:i:c:s1057521925001188. 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.