IDEAS home Printed from https://ideas.repec.org/p/ags/feemcl/115734.html
   My bibliography  Save this paper

Economic Growth and the Environment with Clean and Dirty Consumption

Author

Listed:
  • Orecchia, Carlo
  • Tessitore, Maria Elisabetta

Abstract

This paper aims to verify the existence of the Environmental Kuznets Curve (EKC) or inverted U-shaped relationship between economic growth and environmental degradation in the context of endogenous growth. An important feature of this study is that the EKC is examined in the presence of pollution as a by product of consumption activities; also, pollution is a stock variable rather than a flow and tends to accumulate over time. In order to highlight the role of consumption on the environment, consumers do not consider directly pollution in the maximization problem and are assumed to choose between two different consumption types, characterized by a different impact on the environment (i.e. dirty and clean consumption). We find that substitution of dirty consumption with clean consumption alone is not sufficient to reduce environmental pollution. The result depends on the product differentiation and the cost to achieve it. From a social welfare perspective, more environmental awareness is unambiguously desirable when it generates less pollution. However, it could be that more environmental awareness leads to a lower level of social welfare depending on the costs of product differentiation and social marginal damage of pollution.

Suggested Citation

  • Orecchia, Carlo & Tessitore, Maria Elisabetta, 2011. "Economic Growth and the Environment with Clean and Dirty Consumption," Climate Change and Sustainable Development 115734, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemcl:115734
    DOI: 10.22004/ag.econ.115734
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/115734/files/NDL2011-057.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.115734?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Islam, Asif M. & López, Ramón E., 2015. "Government Spending and Air Pollution in the US," International Review of Environmental and Resource Economics, now publishers, vol. 8(2), pages 139-189, July.

    More about this item

    Keywords

    Environmental Economics and Policy;

    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:ags:feemcl:115734. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/feemmit.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.