IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v62y2024ipbs1544612324001934.html
   My bibliography  Save this article

Does digital inclusive finance promote regional green inclusive growth?

Author

Listed:
  • Li, Yuchen
  • Jin, Guangyi
  • Cui, Zhehao
  • Lv, Bishun
  • Xu, Zhejun

Abstract

Based on the construction of theoretical foundations, this study uses panel data from 30 provinces in China from 2011 to 2021, and employs regression analysis and mediation mechanism tests to explore the relationship between digital inclusive finance and regional green inclusive growth. The findings indicate that digital inclusive finance significantly enhances the level of regional green inclusive growth, and the results remain significant after addressing endogeneity issues and conducting robustness tests. The mechanism test reveals that digital inclusive finance effectively promotes regional green inclusive growth by improving the efficiency of financial services in supporting the real economy.

Suggested Citation

  • Li, Yuchen & Jin, Guangyi & Cui, Zhehao & Lv, Bishun & Xu, Zhejun, 2024. "Does digital inclusive finance promote regional green inclusive growth?," Finance Research Letters, Elsevier, vol. 62(PB).
  • Handle: RePEc:eee:finlet:v:62:y:2024:i:pb:s1544612324001934
    DOI: 10.1016/j.frl.2024.105163
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324001934
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2024.105163?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:62:y:2024:i:pb:s1544612324001934. 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.