IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v57y2025i60p11228-11241.html

Stochastic convergence behaviour in carbon dioxide emissions: Fourier panel unit root approach

Author

Listed:
  • Aygul Anavatan
  • M. Serdar Ispir

Abstract

This study examines the convergence of per capita carbon dioxide emissions using two Fourier-based panel unit root tests allowing for smooth transitions. Additional panel unit root tests without structural breaks and with sharp shifts were conducted for comparison. The analysis spans 68 countries from 1965 to 2019. Results reveal non-stationarity in emissions for low- and middle-income countries, while emissions in high-income countries were stationary under constant and trend components. Evidence indicates limited convergence, with constrained forms observed only in high-income nations. These findings align partially with the Environmental Kuznets Curve hypothesis. This study offers nuanced insights into global carbon dioxide emission dynamics and enriches the empirical discourse on environmental sustainability.

Suggested Citation

  • Aygul Anavatan & M. Serdar Ispir, 2025. "Stochastic convergence behaviour in carbon dioxide emissions: Fourier panel unit root approach," Applied Economics, Taylor & Francis Journals, vol. 57(60), pages 11228-11241, December.
  • Handle: RePEc:taf:applec:v:57:y:2025:i:60:p:11228-11241
    DOI: 10.1080/00036846.2025.2450385
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2025.2450385
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2025.2450385?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

    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:taf:applec:v:57:y:2025:i:60:p:11228-11241. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.