Optimal growth in overlapping generations with a directly polluting sector and an indirect one
AbstractWe study the optimal growth path and its decentralization in an overlapping generations model with two consumption goods and pollution effect. We consider two production sector i.e. one with a direct effect of pollution and the other with an indirect pollution effect by using energy. In the presence of externalities, decentralization of an optimal path needs some specific taxes in addition to lump-sum transfers. The introduction of a market for pollution permits, concerning only the polluting sector, neutralizes the external environmental effects. We show that there is a unique management of permits such that the equilibrium coincides with the optimal path: all permits should be auctioned i.e. no free permits to firms. This conclusion is in contradiction with the usual practice of grandfathering.
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Bibliographic InfoPaper provided by University of Paris West - Nanterre la Défense, EconomiX in its series EconomiX Working Papers with number 2006-1.
Length: 19 pages
Date of creation: 2006
Date of revision:
Optimal growth; environment; market of permits.;
Find related papers by JEL classification:
- D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
- D9 - Microeconomics - - Intertemporal Choice and Growth
- Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-02-17 (All new papers)
- NEP-DGE-2007-02-17 (Dynamic General Equilibrium)
- NEP-ENE-2007-02-17 (Energy Economics)
- NEP-ENV-2007-02-17 (Environmental Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- de la Croix,David & Michel,Philippe, 2002.
"A Theory of Economic Growth,"
Cambridge University Press, number 9780521001151.
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