Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal

Detalhes bibliográficos
Autor(a) principal: Botelho, Anabela
Data de Publicação: 2013
Outros Autores: Pinto, Lígia, Sousa, Patrícia Cristina Cruz de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/26355
Resumo: Wind energy is currently one the most important energy sources in the production of electricity. In this study, we use the CVM to elicit the monetary value attached to wind power’s environmental impacts from three different groups of individuals: local residents, residents in a nearby town, and residents outside the area of a wind farm located in Portugal, one of the top 10 countries in the world with the highest cumulative wind power capacity to date. In each case, our empirical analysis employs a novel likelihood function that is constructed to be appropriate for the type of data collected. The main results are supportive of a NYMBY effect, but also indicate that the amount needed to compensate local residents for the negative impacts caused by the wind farm can be raised by the constitution of a compensation fund paid by non-residents, thereby overcoming the inefficiency caused by the NYMBY effect.
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spelling Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in PortugalContingent valuationUncertaintyRenewable energyStochastic frontier modelsWillingness to pay/accepHypothetical biasWind energy is currently one the most important energy sources in the production of electricity. In this study, we use the CVM to elicit the monetary value attached to wind power’s environmental impacts from three different groups of individuals: local residents, residents in a nearby town, and residents outside the area of a wind farm located in Portugal, one of the top 10 countries in the world with the highest cumulative wind power capacity to date. In each case, our empirical analysis employs a novel likelihood function that is constructed to be appropriate for the type of data collected. The main results are supportive of a NYMBY effect, but also indicate that the amount needed to compensate local residents for the negative impacts caused by the wind farm can be raised by the constitution of a compensation fund paid by non-residents, thereby overcoming the inefficiency caused by the NYMBY effect.Fundação para a Ciência e a Tecnologia (FCT)The authors thank the participants at the 2013 XVI Applied Economics Meeting, Granada-Spain, for helpful comments. This research was funded by Fundação para a Ciência e a Tecnologia (FCT) through the Applied Microeconomics Research Unit (NIMA) and the project Economic valuation of environmental impacts of renewable energies (PTDC/EGE-ECO/122402/2010).Universidade do Minho. Núcleo de Investigação em Microeconomia Aplicada (NIMA)Universidade do MinhoBotelho, AnabelaPinto, LígiaSousa, Patrícia Cristina Cruz de2013-072013-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/26355enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:57:31Zoai:repositorium.sdum.uminho.pt:1822/26355Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:47:10.432089Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
title Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
spellingShingle Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
Botelho, Anabela
Contingent valuation
Uncertainty
Renewable energy
Stochastic frontier models
Willingness to pay/accep
Hypothetical bias
title_short Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
title_full Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
title_fullStr Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
title_full_unstemmed Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
title_sort Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
author Botelho, Anabela
author_facet Botelho, Anabela
Pinto, Lígia
Sousa, Patrícia Cristina Cruz de
author_role author
author2 Pinto, Lígia
Sousa, Patrícia Cristina Cruz de
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Botelho, Anabela
Pinto, Lígia
Sousa, Patrícia Cristina Cruz de
dc.subject.por.fl_str_mv Contingent valuation
Uncertainty
Renewable energy
Stochastic frontier models
Willingness to pay/accep
Hypothetical bias
topic Contingent valuation
Uncertainty
Renewable energy
Stochastic frontier models
Willingness to pay/accep
Hypothetical bias
description Wind energy is currently one the most important energy sources in the production of electricity. In this study, we use the CVM to elicit the monetary value attached to wind power’s environmental impacts from three different groups of individuals: local residents, residents in a nearby town, and residents outside the area of a wind farm located in Portugal, one of the top 10 countries in the world with the highest cumulative wind power capacity to date. In each case, our empirical analysis employs a novel likelihood function that is constructed to be appropriate for the type of data collected. The main results are supportive of a NYMBY effect, but also indicate that the amount needed to compensate local residents for the negative impacts caused by the wind farm can be raised by the constitution of a compensation fund paid by non-residents, thereby overcoming the inefficiency caused by the NYMBY effect.
publishDate 2013
dc.date.none.fl_str_mv 2013-07
2013-07-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/26355
url http://hdl.handle.net/1822/26355
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Minho. Núcleo de Investigação em Microeconomia Aplicada (NIMA)
publisher.none.fl_str_mv Universidade do Minho. Núcleo de Investigação em Microeconomia Aplicada (NIMA)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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