IDEAS home Printed from https://ideas.repec.org/p/ira/wpaper/202519.html

Environmental degradation, income and economic complexity: Evidence from European countries

Author

Listed:
  • Oscar Claveria

    (AQR-IREA, Universitat de Barcelona, Spain.)

  • Petar Soric

    (Faculty of Economics and Business, University of Zagreb, Croatia.)

Abstract

Recent energy tensions caused by conflicts in Ukraine and the Middle East have added to the pressure that global warming exerts for an energy transition towards low-carbon energy sources. This study combines two time series approaches with the aim of delving deeper into the relationship between environmental degradation and economic growth and to test the environmental Kuznets curve (EKC) hypothesis, using information from 20 European countries between 2007 and 2021. Overall, the obtained results suggest the existence of a N-shaped nexus between emissions and income per capita. Additionally, we evaluated stability of this nexus and the potential existence of an asymmetric adjustment. In most countries we find asymmetries in the adjustment of emissions to positive and negative changes in income, but not so much in economic complexity. However, notable differences are observed between countries, which could be indicating their differentiated phase in the EKC curve.

Suggested Citation

  • Oscar Claveria & Petar Soric, 2025. "Environmental degradation, income and economic complexity: Evidence from European countries," IREA Working Papers 202519, University of Barcelona, Research Institute of Applied Economics.
    • Handle: RePEc:ira:wpaper:202519
    as

    Download full text from publisher

    File URL: http://www.ub.edu/irea/working_papers/2025/202519.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ira:wpaper:202519. 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: Alicia García (email available below). General contact details of provider: https://edirc.repec.org/data/feubaes.html .

    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.