Valuing wind farms’ environmental impacts by geographical distance: a contingent valuation study in Portugal
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
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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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 |
eu_rights_str_mv |
openAccess |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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