IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v319y2025ics0360544225007194.html
   My bibliography  Save this article

Digitalization and renewable energy development: Analysis based on cross-country panel data

Author

Listed:
  • Zheng, Mingbo
  • Zhang, Xinyu

Abstract

This paper aims to estimate the impact of digitalization on renewable energy development by employing a panel fixed effects model and data from 140 countries from 2003 to 2020. The results show that the digitalization indeed leads to a positive influence on renewable energy development, after a series of robustness checks, including the Bartik-type instrument variable estimation. Specifically, the promotional effect of digitalization on renewable energy development is more pronounced in high-income countries, OECD members and countries with sound financial systems. The mechanism analysis suggests that digitalization works on renewable energy development through the improvement of green innovation and the accumulation of human capital. Based on the above findings, it is therefore recommended that governments develop digital infrastructure construction and foster digital transformation across industries, thereby accelerating the renewable energy transition.

Suggested Citation

  • Zheng, Mingbo & Zhang, Xinyu, 2025. "Digitalization and renewable energy development: Analysis based on cross-country panel data," Energy, Elsevier, vol. 319(C).
    • Handle: RePEc:eee:energy:v:319:y:2025:i:c:s0360544225007194
    DOI: 10.1016/j.energy.2025.135077
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225007194
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.135077?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

    Digitalization; Renewable energy development; Green innovation; Human capital;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy

    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:energy:v:319:y:2025:i:c:s0360544225007194. 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.journals.elsevier.com/energy .

    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.