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The natalist bias of pollution control

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  • de la Croix, David
  • Gosseries, Axel

Abstract

For a given technology, two ways are available to achieve low polluting emissions: reducing production per capita or reducing population size. This paper insists on the tension between the former and the latter. Controlling pollution either through Pigovian taxes or through tradable quotas schemes encourages agents to shift away from production to tax free activities such as procreation and leisure. This natalist bias will deteriorate the environment further, entailing the need to impose ever more stringent pollution rights per person. However, this will in turn gradually impoverish the successive generations: population will tend to increase further and production per capita to decrease as the generations pass. One possible solution consists in capping population too.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Environmental Economics and Management.

Volume (Year): 63 (2012)
Issue (Month): 2 ()
Pages: 271-287

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Handle: RePEc:eee:jeeman:v:63:y:2012:i:2:p:271-287

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Web page: http://www.elsevier.com/locate/inca/622870

Related research

Keywords: Overlapping generations; Environmental policy; Endogenous fertility; Quantity–quality tradeoff; Population control;

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Citations

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Cited by:
  1. Nguyen Thang Dao & Julio Dávila, 2013. "Can geography lock a society in stagnation?," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne 13037, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  2. DEVOLDER, Olivier, 2011. "Stochastic first order methods in smooth convex optimization," CORE Discussion Papers, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) 2011070, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. Emeline Bezin, 2013. "The dynamics of environmental concern and the evolution of pollution," Working Papers SMART - LERECO, INRA UMR SMART 13-09, INRA UMR SMART.

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