IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-04566118.html
   My bibliography  Save this paper

Demographic Factors and the Environmental Kuznets Curve: Global Plastic Pollution by 2050 Could Be 2 to 4 Times Worse than Projected

Author

Listed:
  • Yan Huijie

    (CEARC - Cultures, Environnements, Arctique, Représentations, Climat - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - CNRS - Centre National de la Recherche Scientifique)

  • Mateo Cordier

    (CEARC - Cultures, Environnements, Arctique, Représentations, Climat - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - CNRS - Centre National de la Recherche Scientifique)

  • Takuro Uehara

    (Ritsumeikan University)

Abstract

Since 2015, the detrimental effects of plastic pollution have attracted media, public, and governmental attention. Considering that economic growth is inevitable and a key driver of plastic contamination, it is worthwhile to analyze the environmental Kuznets curve (EKC) relationship between economic development and plastic pollution. To this end, we contribute by being the first to (i) use the stochastic impacts by regression on population, affluence, and technology model as the theoretical and analytical framework to investigate this EKC relationship; (ii) provide a comprehensive analysis of how demographic factors affect plastic pollution; and (iii) use certain panel model techniques to examine the drivers of plastic pollution. Our empirical results support an inverted U-shaped relationship between plastic pollution and income. The implied turning point, beyond which plastic pollution starts to fall as income rises, is relatively stable and not very sensitive to variations in model specifications. Our results reveal possible environmental benefits of economic growth and a meaningful response of demographic factors to plastic pollution. At current trends, global plastic pollution (that is, annual discard of inadequately managed plastic waste) is expected to grow from 52 million tons per year in 2020 to 257 million tons per year in 2050.

Suggested Citation

  • Yan Huijie & Mateo Cordier & Takuro Uehara, 2022. "Demographic Factors and the Environmental Kuznets Curve: Global Plastic Pollution by 2050 Could Be 2 to 4 Times Worse than Projected," Working Papers hal-04566118, HAL.
  • Handle: RePEc:hal:wpaper:hal-04566118
    DOI: 10.2139/ssrn.4231443
    Note: View the original document on HAL open archive server: https://hal.science/hal-04566118
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04566118/document
    Download Restriction: no

    File URL: https://libkey.io/10.2139/ssrn.4231443?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
    ---><---

    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:hal:wpaper:hal-04566118. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.