Measuring the social recreation per-day net benefit of the wildlife amenities of a national park: a count-data travel-cost approach

Detalhes bibliográficos
Autor(a) principal: Mendes, Isabel
Data de Publicação: 2011
Outros Autores: Proença, Isabel
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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spelling 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
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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)
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