IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v27y2025i6d10.1007_s10668-024-04504-w.html
   My bibliography  Save this article

Quantile dynamics of control of corruption, political stability, and renewable energy on environmental quality in the MENA region

Author

Listed:
  • Faik Bilgili

    (Erciyes University)

  • Mohamed Alsanusi

    (Erciyes University)

  • Muhammad Mansur Kabir

    (Erciyes University)

  • Ashar Awan

    (University of Azad Jammu and Kashmir
    Nisantasi University Graduate School)

Abstract

This study analyzes the quantile dynamics of control of corruption and political stability from an environmental perspective utilizing annual data for MENA countries spanning 2002–2018. Our findings, which were obtained through detailed quantile regression and bootstrap replications, show the significant moderating effects of political stability, renewable energy sources, and corruption control on environmental outcomes. The study also supports the environmental Kuznets curve hypothesis’ application to the MENA region. Particularly, political stability only becomes important at higher quantile levels of environmental degradation, whereas corruption control remains important at all quantile levels. The implications of the findings suggest that policymakers in the MENA region should take a holistic and integrated approach to environmental governance, which includes promoting renewable energy sources and ensuring environmental justice for all segments of society.

Suggested Citation

  • Faik Bilgili & Mohamed Alsanusi & Muhammad Mansur Kabir & Ashar Awan, 2025. "Quantile dynamics of control of corruption, political stability, and renewable energy on environmental quality in the MENA region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 14001-14021, June.
    • Handle: RePEc:spr:endesu:v:27:y:2025:i:6:d:10.1007_s10668-024-04504-w
    DOI: 10.1007/s10668-024-04504-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-024-04504-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-024-04504-w?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:spr:endesu:v:27:y:2025:i:6:d:10.1007_s10668-024-04504-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.