IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v327y2025ics0360544225020547.html
   My bibliography  Save this article

An analysis of the relationship between economic complexity-energy and economic growth: evidence from method of moment quantile regression

Author

Listed:
  • Labidi, Mohamed Ali

Abstract

This study explores the effect of the conjunction of economic complexity and the renewable and the non-renewable energy on economic growth. Panel quantile regression approach was employed, this is in order to take account for asymmetry and heterogeneity of dataset and, furthermore, to specify the influence of different quantiles of economic complexity and the renewable and the non-renewable energy on different quantiles of economic growth. It utilizes an unbalanced panel dataset for 31 OECD countries spanning during 1995–2023. Our findings reveal the positive and significant effect of economic complexity and the negative and significant effect of energy consumption on economic growth. Moreover, the interweaving of economic complexity and renewable energies has a positive and significant effect on economic growth at the different quantiles retained. Regarding the implications of economic policies, our results suggest that economic complexity and renewable energy are the main determinants of economic growth. To control economic tensions and succeed in the energy transition, OECD economic policy must be based on decoupling economic growth from nonrenewable energy in favor of economic growth induced by economic complexity and renewable energy.

Suggested Citation

  • Labidi, Mohamed Ali, 2025. "An analysis of the relationship between economic complexity-energy and economic growth: evidence from method of moment quantile regression," Energy, Elsevier, vol. 327(C).
  • Handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020547
    DOI: 10.1016/j.energy.2025.136412
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225020547
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136412?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:energy:v:327:y:2025:i:c:s0360544225020547. 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.