IDEAS home Printed from https://ideas.repec.org/a/eee/glofin/v61y2024ics1044028324000607.html
   My bibliography  Save this article

Digital finance, financing constraints, and green technological innovation: A spatial analysis

Author

Listed:
  • Li, Bo
  • Liu, Zhenya
  • Jia, Xuemei
  • Ma, Fengping

Abstract

This study investigates the role of financing constraints in mediating the influence of digital finance on green technological innovations by using the spatial Durbin model. Based on the panel data of 273 Chinese cities from 2011 to 2020, the empirical results demonstrate that local and neighboring financing constraints mediate more than 50% of the direct impact of local digital finance on the quantity and quality of green innovation. Moreover, these financing constraints completely mediate the indirect impact of neighbors' digitalization levels, one of the three indicators of digital finance. This underscores the importance of addressing financing constraints and fostering regional cooperation to enhance the efficacy of digital finance in advancing green technology.

Suggested Citation

  • Li, Bo & Liu, Zhenya & Jia, Xuemei & Ma, Fengping, 2024. "Digital finance, financing constraints, and green technological innovation: A spatial analysis," Global Finance Journal, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:glofin:v:61:y:2024:i:c:s1044028324000607
    DOI: 10.1016/j.gfj.2024.100988
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1044028324000607
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.gfj.2024.100988?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.

    More about this item

    Keywords

    Financing constraints; Digital finance; Green technological innovation; Spatial Durbin model;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:glofin:v:61:y:2024:i:c:s1044028324000607. 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/620162 .

    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.