IDEAS home Printed from https://ideas.repec.org/a/spr/jenvss/v15y2025i3d10.1007_s13412-024-00958-6.html
   My bibliography  Save this article

Economic complexity and environmental sustainability: sectoral perspectives from OECD countries

Author

Listed:
  • Yusuf Ünsal

    (Anadolu University)

Abstract

This study explores the relationship between environmental pollution and sectoral economic complexity, focusing on the agricultural and industrial sectors in 35 OECD countries from 2002 to 2021. Utilizing the economic complexity index at the sectoral level, the research reveals that economic complexity significantly influences environmental pollution. Notably, this influence follows an inverted U-shaped pattern over the long term, aligning with the Environmental Kuznets Curve hypothesis. This suggests that while initial increases in economic complexity may heighten pollution, further advancements in complexity lead to the development of more efficient and cleaner technologies, ultimately reducing pollution. The findings have significant implications for policy formulation. They indicate that investments in enhancing economic complexity should be balanced with the environmental sustainability of the sectors. This balance is crucial for achieving long-term ecological and economic stability. The study highlights the need for policies that encourage innovation and technological advancement in both agricultural and industrial sectors, ensuring economic growth aligns with environmental preservation.

Suggested Citation

  • Yusuf Ünsal, 2025. "Economic complexity and environmental sustainability: sectoral perspectives from OECD countries," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 15(3), pages 516-529, September.
  • Handle: RePEc:spr:jenvss:v:15:y:2025:i:3:d:10.1007_s13412-024-00958-6
    DOI: 10.1007/s13412-024-00958-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13412-024-00958-6
    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/s13412-024-00958-6?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

    for a different version of it.

    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:spr:jenvss:v:15:y:2025:i:3:d:10.1007_s13412-024-00958-6. 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.