IDEAS home Printed from https://ideas.repec.org/p/fem/femwpa/2003.83.html

Is the Discount Rate Relevant in Explaining the Environmental Kuznets Curve?

Author

Listed:
  • Giuseppe Di Vita

    (Faculty of Law, University of Catania, Italy)

Abstract

In this paper we use Pindyck’s model (2002) to show that the discount rate may play an important role in explaining for the income-pollution pattern observed in the real world. Low levels of income involve high values of discount rate, that are obstacles to the adoption of a pollution abatement policy. Only when the discount rate falls, as a consequence of growth, will it be possible to implement measures for emissions reduction. Thus we are able to derive an inverse U-shaped income-pollution pattern, making use of an argument that has never yet been introduced in the economic debate on this issue.

Suggested Citation

  • Giuseppe Di Vita, 2003. "Is the Discount Rate Relevant in Explaining the Environmental Kuznets Curve?," Working Papers 2003.83, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2003.83
    as

    Download full text from publisher

    File URL: https://feem-media.s3.eu-central-1.amazonaws.com/wp-content/uploads/NDL2003-083.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Alexandra-Anca Purcel, 2020. "New insights into the environmental Kuznets curve hypothesis in developing and transition economies: a literature survey," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(4), pages 585-631, October.
    2. Sethi, Pradeepta & Chakrabarti, Debkumar & Bhattacharjee, Sankalpa, 2020. "Globalization, financial development and economic growth: Perils on the environmental sustainability of an emerging economy," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 520-535.
    3. Jeyhun I. Mikayilov & Marzio Galeotti & Fakhri J. Hasanov, 2018. "The Impact of Economic Growth on CO2 Emissions in Azerbaijan," IEFE Working Papers 102, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    4. Jihuan Zhang, 2021. "Environmental Kuznets Curve Hypothesis on CO 2 Emissions: Evidence for China," JRFM, MDPI, vol. 14(3), pages 1-16, February.
    5. Massimiliano Mazzanti & Antonio Musolesi & Roberto Zoboli, 2006. "A Bayesian Approach to the Estimation of Environmental Kuznets Curves for CO2 Emissions," Working Papers 2006.121, Fondazione Eni Enrico Mattei.
    6. Kijima, Masaaki & Nishide, Katsumasa & Ohyama, Atsuyuki, 2010. "Economic models for the environmental Kuznets curve: A survey," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1187-1201, July.
    7. Pal, Debdatta & Mitra, Subrata Kumar, 2017. "The environmental Kuznets curve for carbon dioxide in India and China: Growth and pollution at crossroad," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 371-385.
    8. Di Vita, Giuseppe, 2008. "Differences in pollution levels among civil law countries: A possible interpretation," Energy Policy, Elsevier, vol. 36(10), pages 3774-3786, October.
    9. Massimiliano Mazzanti & Anna Montini & Roberto Zoboli, 2008. "Environmental Kuznets Curves for Air Pollutant Emissions in Italy: Evidence from Environmental Accounts (NAMEA) Panel Data," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 277-301.
    10. Di Vita, Giuseppe, 2009. "Legal families and environmental protection: Is there a causal relationship?," Journal of Policy Modeling, Elsevier, vol. 31(5), pages 694-707, September.
    11. Massimiliano Mazzanti & Anna Montini & Roberto Zoboli, 2007. "Economic Dynamics, Emission Trends and the EKC Hypothesis New Evidence Using NAMEA and Provincial Panel Data for Italy," Working Papers 2007.24, Fondazione Eni Enrico Mattei.
    12. Halkos, George E., 2011. "Nonparametric modelling of biodiversity: Determinants of threatened species," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 618-635, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

    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:fem:femwpa:2003.83. 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: Alberto Prina Cerai The email address of this maintainer does not seem to be valid anymore. Please ask Alberto Prina Cerai to update the entry or send us the correct address (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.