IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i5p2536-d1878569.html

Uncovering the Effect of Financial Globalization and Technological Innovation on Renewable Energy Consumption in Nigeria: An ARDL and Frequency Domain Causality Approach

Author

Listed:
  • Oluwatoyin Abidemi Somoye

    (Department of Economics, Near East University, Nicosia TR–10 99138, Türkiye)

Abstract

In recent times, countries have made it a point of duty to promote economic activities that will foster a sustainable environment following the Sustainable Development Goals (SDGs). One of the measures employed to achieve these goals, especially SDGs 7 and 13, is the adoption of renewable energy consumption. As a result, this research investigates the effect of financial globalization (FGLO) and technological innovation (TECH) on renewable energy consumption (RENC) in Nigeria from 1990 to 2020 using the Autoregressive Distributed Lag (ARDL) model. In addition, this research contributes to the existing literature by employing the Frequency Domain Causality Approach to capture long- and short-run causal relationships. Also, control variables such as financial development (FIND) and economic growth (GDP) were employed. The ARDL result is as follows: (1) The bounds test confirms a long-run association between the variables. (2) In the long-run, TECH and FIND spur RENC, while GDP reduces RENC. In addition, FGLO has a positive long-run coefficient, but the evidence is not strong enough to claim a clear long-run effect. (3) In the short-run, FGLO and FIND increase RENC, while GDP reduces RENC. Furthermore, the Frequency Domain Causality results confirm that TECH Granger causes RENC in the medium and long term, FIND Granger causes RENC in the medium and long term, while GDP Granger causes RENC in the short, medium, and long term. Based on these results, policies are recommended.

Suggested Citation

  • Oluwatoyin Abidemi Somoye, 2026. "Uncovering the Effect of Financial Globalization and Technological Innovation on Renewable Energy Consumption in Nigeria: An ARDL and Frequency Domain Causality Approach," Sustainability, MDPI, vol. 18(5), pages 1-18, March.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:5:p:2536-:d:1878569
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/5/2536/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/5/2536/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:18:y:2026:i:5:p:2536-:d:1878569. 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: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    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.