A New Approach to Pollution Modelling in Models of the Environmental Kuznets Curve
Hannes Egli
Swiss Journal of Economics and Statistics (SJES), 2005, vol. 141, issue III, 459-473
Abstract:
Models of the Environmental Kuznets Curve, particularly those with an explicit abatement technology, often involve that pollution becomes negative in the long run. This, of course, is a highly implausible prediction. The paper at hand examines the problem of negative pollution by, first, critically discussing two approaches adopted in existing EKC models and, second, by proposing a new approach. Motivated by the debatable assumption of perpetually increasing returns to scale in abatement, the idea of fading increasing returns to scale is introduced. This procedure does not only constitute a solution to the theoretical problem of negative pollution, but also does well regarding the empirical plausibility of the abatement technology.
Keywords: Environmental Kuznets Curve; Negative Pollution; Abatement Technology; Increasing Returns to Scale (search for similar items in EconPapers)
JEL-codes: Q2 Q5 (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sjes.ch/papers/2005-III-7.pdf (application/pdf)
Related works:
Working Paper: A new approach to pollution modelling in models of the environmental Kuznets curve (2005) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ses:arsjes:2005-iii-7
Access Statistics for this article
Swiss Journal of Economics and Statistics (SJES) is currently edited by Marius Brülhart
More articles in Swiss Journal of Economics and Statistics (SJES) from Swiss Society of Economics and Statistics (SSES) Contact information at EDIRC.
Bibliographic data for series maintained by Kurt Schmidheiny ().