Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach
Autor(a) principal: | |
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Data de Publicação: | 2011 |
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/10400.5/28081 |
Resumo: | In this article, we apply count-data travel-cost methods to a truncated sample of visitors to estimate the Peneda-Gerês National Park (PGNP) average consumer surplus (CS) for each day of visit. The measurement of recreation demand is highly specific because it is calculated by number of days of stay per visit. We therefore propose the application of altered truncated count-data models or truncated count-data models on grouped data to estimate a single, on-site individual recreation demand function, with the price (cost) of each recreation day per trip equal to out-of-pocket and time travel plus out-of-pocket and on-site time costs. We further check the sensitivity of coefficient estimations to alternative models and analyse the welfare measure precision by using the delta and simulation methods by Creel and Loomis. With simulated limits, CS is estimated to be €194 (range €116 to €448). This information is of use in the quest to improve government policy and PNPG management and conservation as well as promote nature-based tourism. To our knowledge, this is the first attempt to measure the average recreation net benefits of each day of stay generated by a national park by using truncated altered and truncated grouped count-data travel-cost models based on observing the individual number of days of stay. |
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Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approachCount-Data ModelSocial Recreation BenefitsTravel CostWildlife AmenitiesIn this article, we apply count-data travel-cost methods to a truncated sample of visitors to estimate the Peneda-Gerês National Park (PGNP) average consumer surplus (CS) for each day of visit. The measurement of recreation demand is highly specific because it is calculated by number of days of stay per visit. We therefore propose the application of altered truncated count-data models or truncated count-data models on grouped data to estimate a single, on-site individual recreation demand function, with the price (cost) of each recreation day per trip equal to out-of-pocket and time travel plus out-of-pocket and on-site time costs. We further check the sensitivity of coefficient estimations to alternative models and analyse the welfare measure precision by using the delta and simulation methods by Creel and Loomis. With simulated limits, CS is estimated to be €194 (range €116 to €448). This information is of use in the quest to improve government policy and PNPG management and conservation as well as promote nature-based tourism. To our knowledge, this is the first attempt to measure the average recreation net benefits of each day of stay generated by a national park by using truncated altered and truncated grouped count-data travel-cost models based on observing the individual number of days of stay.Springer ScienceRepositório da Universidade de LisboaMendes, IsabelProença, Isabel2023-08-04T14:18:27Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/28081engMendes, Isabel and Isabel Proença .(2011). “Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach”. Environmental Management, Vol. 48: pp. 920–932 . DOI 10.1007/s00267-011-9733-1 . (Search PDF in 2023).10.1007/s00267-011-9733-1info: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:RCAAP2023-09-24T01:31:29Zoai:www.repository.utl.pt:10400.5/28081Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:26:55.898238Repositório 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 |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach |
title |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach |
spellingShingle |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach Mendes, Isabel Count-Data Model Social Recreation Benefits Travel Cost Wildlife Amenities |
title_short |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach |
title_full |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach |
title_fullStr |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach |
title_full_unstemmed |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach |
title_sort |
Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach |
author |
Mendes, Isabel |
author_facet |
Mendes, Isabel Proença, Isabel |
author_role |
author |
author2 |
Proença, Isabel |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Mendes, Isabel Proença, Isabel |
dc.subject.por.fl_str_mv |
Count-Data Model Social Recreation Benefits Travel Cost Wildlife Amenities |
topic |
Count-Data Model Social Recreation Benefits Travel Cost Wildlife Amenities |
description |
In this article, we apply count-data travel-cost methods to a truncated sample of visitors to estimate the Peneda-Gerês National Park (PGNP) average consumer surplus (CS) for each day of visit. The measurement of recreation demand is highly specific because it is calculated by number of days of stay per visit. We therefore propose the application of altered truncated count-data models or truncated count-data models on grouped data to estimate a single, on-site individual recreation demand function, with the price (cost) of each recreation day per trip equal to out-of-pocket and time travel plus out-of-pocket and on-site time costs. We further check the sensitivity of coefficient estimations to alternative models and analyse the welfare measure precision by using the delta and simulation methods by Creel and Loomis. With simulated limits, CS is estimated to be €194 (range €116 to €448). This information is of use in the quest to improve government policy and PNPG management and conservation as well as promote nature-based tourism. To our knowledge, this is the first attempt to measure the average recreation net benefits of each day of stay generated by a national park by using truncated altered and truncated grouped count-data travel-cost models based on observing the individual number of days of stay. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z 2023-08-04T14:18:27Z |
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/10400.5/28081 |
url |
http://hdl.handle.net/10400.5/28081 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Mendes, Isabel and Isabel Proença .(2011). “Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach”. Environmental Management, Vol. 48: pp. 920–932 . DOI 10.1007/s00267-011-9733-1 . (Search PDF in 2023). 10.1007/s00267-011-9733-1 |
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 |
Springer Science |
publisher.none.fl_str_mv |
Springer Science |
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) |
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 |
repository.mail.fl_str_mv |
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1817549900564398080 |