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Optimal monitoring to implement clean technologies when pollution is random

Ines Macho-Stadler () and David Perez-Castrillo ()

UFAE and IAE Working Papers from Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC)

Abstract: We analyze a model where firms chose a production technology which, together with some random event, determines the final emission level. We consider the coexistence of two alternative technologies: a "clean" technology, and a "dirty" technology. The environmental regulation is based on taxes over reported emissions, and on penalties over unreported emissions. We show that the optimal inspection policy is a cut-off strategy, for several scenarios concerning the observability of the adoption of the clean technology and the cost of adopting it. We also show that the optimal inspection policy induces the firm to adopt the clean technology if the adoption cost is not too high, but the cost levels for which the firm adopts it depend on the scenario.

Keywords: Production technology; random emissions; environmental taxes; optimal monitoring policy. (search for similar items in EconPapers)
JEL-codes: K32 K42 D82 (search for similar items in EconPapers)
Pages: 31
Date: 2006-11-20
New Economics Papers: this item is included in nep-env, nep-ino and nep-law
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http://pareto.uab.es/wp/2006/67206.pdf (application/pdf)

Related works:
Journal Article: Optimal monitoring to implement clean technologies when pollution is random (2010) Downloads
Working Paper: Optimal monitoring to implement clean technologies when pollution is random (2007) Downloads
Working Paper: Optimal Monitoring to Implement Clean Technologies when Pollution is Random (2007) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:aub:autbar:672.06

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