Quantifying distortions from pollution in a R&D endogenous growth model

In this note we study the distortions in an endogenous growth model developed by Grimaud and Tournemaine (2007), where new pieces of knowledge are produced in a R & D sector and used to reduce pollution emissions. Using this model along with a realistic calibration, we conclude that the econ...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sequeira,Tiago Neves, Ferreira-Lopes,Alexandra
Lenguaje:English
Publicado: Universidad de Chile. Departamento de Economía 2014
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-52862014000100005
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0718-52862014000100005
record_format dspace
spelling oai:scielo:S0718-528620140001000052014-06-25Quantifying distortions from pollution in a R&D endogenous growth modelSequeira,Tiago NevesFerreira-Lopes,Alexandra Pollution environmental tax R & D economic growth subsidies In this note we study the distortions in an endogenous growth model developed by Grimaud and Tournemaine (2007), where new pieces of knowledge are produced in a R & D sector and used to reduce pollution emissions. Using this model along with a realistic calibration, we conclude that the economy strongly underinvests in R & D, such that the policy maker would need to implement a strong tax-subsidy scheme to correct it. We suggest that a subsidy to human capital can also decrease the gap between market and optimal allocations.info:eu-repo/semantics/openAccessUniversidad de Chile. Departamento de EconomíaEstudios de economía v.41 n.1 20142014-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-52862014000100005en10.4067/S0718-52862014000100005
institution Scielo Chile
collection Scielo Chile
language English
topic Pollution
environmental tax
R & D
economic growth
subsidies
spellingShingle Pollution
environmental tax
R & D
economic growth
subsidies
Sequeira,Tiago Neves
Ferreira-Lopes,Alexandra
Quantifying distortions from pollution in a R&D endogenous growth model
description In this note we study the distortions in an endogenous growth model developed by Grimaud and Tournemaine (2007), where new pieces of knowledge are produced in a R & D sector and used to reduce pollution emissions. Using this model along with a realistic calibration, we conclude that the economy strongly underinvests in R & D, such that the policy maker would need to implement a strong tax-subsidy scheme to correct it. We suggest that a subsidy to human capital can also decrease the gap between market and optimal allocations.
author Sequeira,Tiago Neves
Ferreira-Lopes,Alexandra
author_facet Sequeira,Tiago Neves
Ferreira-Lopes,Alexandra
author_sort Sequeira,Tiago Neves
title Quantifying distortions from pollution in a R&D endogenous growth model
title_short Quantifying distortions from pollution in a R&D endogenous growth model
title_full Quantifying distortions from pollution in a R&D endogenous growth model
title_fullStr Quantifying distortions from pollution in a R&D endogenous growth model
title_full_unstemmed Quantifying distortions from pollution in a R&D endogenous growth model
title_sort quantifying distortions from pollution in a r&d endogenous growth model
publisher Universidad de Chile. Departamento de Economía
publishDate 2014
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-52862014000100005
work_keys_str_mv AT sequeiratiagoneves quantifyingdistortionsfrompollutioninardendogenousgrowthmodel
AT ferreiralopesalexandra quantifyingdistortionsfrompollutioninardendogenousgrowthmodel
_version_ 1714205044486701056