IDEAS home Printed from https://ideas.repec.org/a/bla/bstrat/v35y2026i1p167-178.html

The Role of Artificial Intelligence in Sustainable Transportation and Manufacturing: Empirical Findings From Southeast Asian Countries

Author

Listed:
  • Gamze Destek
  • Sercan Aydın
  • Nuh Okumuş
  • Mehmet Akif Destek

Abstract

Artificial intelligence is said to be able to lessen environmental harm in many sectors. In this regard, the research examines how the transportation and industrial sectors affect carbon emissions in Southeast Asian nations (China, India, Indonesia, Japan, South Korea, and Thailand) as well as how artificial intelligence may mitigate these impacts. According to the STIRPAT model, the novel panel CS‐ARDL approach is used in this context to assess an observation period spanning the years 2004–2022. The results demonstrate that carbon emissions are raised by energy use in the transportation and industrial sectors. In terms of moderating impacts, artificial intelligence applications in the transportation sector show beneficial environmental consequences, while their usage in the industrial sector has no discernible impact on emissions levels. In this regard, policy recommendations are presented for governments to require AI‐supported production facilities to use clean energy sources instead of fossil fuels.

Suggested Citation

  • Gamze Destek & Sercan Aydın & Nuh Okumuş & Mehmet Akif Destek, 2026. "The Role of Artificial Intelligence in Sustainable Transportation and Manufacturing: Empirical Findings From Southeast Asian Countries," Business Strategy and the Environment, Wiley Blackwell, vol. 35(1), pages 167-178, January.
    • Handle: RePEc:bla:bstrat:v:35:y:2026:i:1:p:167-178
    DOI: 10.1002/bse.70172
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/bse.70172
    Download Restriction: no
    File URL: https://libkey.io/10.1002/bse.70172?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
    ---><---

    More about this item

    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:bla:bstrat:v:35:y:2026:i:1:p:167-178. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-0836 .

    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.