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

Detalhes bibliográficos
Autor(a) principal: Mendes, Isabel
Data de Publicação: 2009
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/10400.5/1827
Resumo: We applied count-data travel cost methods to a truncated sample of visitors, to estimate the average CS per each day of visit of an individual, visiting the Peneda-Gerês National Park to enjoy their natural facilities for recreation purposes. As the recreation demand was measured in number of days of stay in the park the behaviour of the dependent variable is very specific. To overcome this situation, we propose the use of altered truncated count data models or truncated count data models on grouped data because we found they were better adjusted to our data set. The average individual CS per day is estimated to be €194 varying between €116 and €448, with Simulated Limits. This information is useful in the formulation of government policy relating directly to national parks and conservation and the determination of future natural park management. To our knowledge this is the first attempt to measure the average recreation net benefits per each day of stay supported by a national park, by using truncated altered and truncated grouped count data Travel Cost Model based on the observation of individual (not household) number of days of stay.
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spelling Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approachSocial Recreation BenefitsWildlife AmenitiesCount Data ModelsTravel CostsWe applied count-data travel cost methods to a truncated sample of visitors, to estimate the average CS per each day of visit of an individual, visiting the Peneda-Gerês National Park to enjoy their natural facilities for recreation purposes. As the recreation demand was measured in number of days of stay in the park the behaviour of the dependent variable is very specific. To overcome this situation, we propose the use of altered truncated count data models or truncated count data models on grouped data because we found they were better adjusted to our data set. The average individual CS per day is estimated to be €194 varying between €116 and €448, with Simulated Limits. This information is useful in the formulation of government policy relating directly to national parks and conservation and the determination of future natural park management. To our knowledge this is the first attempt to measure the average recreation net benefits per each day of stay supported by a national park, by using truncated altered and truncated grouped count data Travel Cost Model based on the observation of individual (not household) number of days of stay.ISEG - Departamento de EconomiaRepositório da Universidade de LisboaMendes, IsabelProença, Isabel2010-04-14T15:51:05Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/1827engMendes, Isabel, Isabel Proença. 2009. "Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach". Instituto Superior de Economia e Gestão - DE working papers nº 35 - 2009/DE/SOCIUS.0874-4548info: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:RCAAP2023-03-06T14:33:04Zoai:www.repository.utl.pt:10400.5/1827Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:49:56.128481Repositório 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 wildlife amenities of a national park : a count-data travel cost approach
title Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach
spellingShingle Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach
Mendes, Isabel
Social Recreation Benefits
Wildlife Amenities
Count Data Models
Travel Costs
title_short Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach
title_full Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach
title_fullStr Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach
title_full_unstemmed Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach
title_sort Measuring the social recreation per-day net benefit of 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 Social Recreation Benefits
Wildlife Amenities
Count Data Models
Travel Costs
topic Social Recreation Benefits
Wildlife Amenities
Count Data Models
Travel Costs
description We applied count-data travel cost methods to a truncated sample of visitors, to estimate the average CS per each day of visit of an individual, visiting the Peneda-Gerês National Park to enjoy their natural facilities for recreation purposes. As the recreation demand was measured in number of days of stay in the park the behaviour of the dependent variable is very specific. To overcome this situation, we propose the use of altered truncated count data models or truncated count data models on grouped data because we found they were better adjusted to our data set. The average individual CS per day is estimated to be €194 varying between €116 and €448, with Simulated Limits. This information is useful in the formulation of government policy relating directly to national parks and conservation and the determination of future natural park management. To our knowledge this is the first attempt to measure the average recreation net benefits per each day of stay supported by a national park, by using truncated altered and truncated grouped count data Travel Cost Model based on the observation of individual (not household) number of days of stay.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2010-04-14T15:51:05Z
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/10400.5/1827
url http://hdl.handle.net/10400.5/1827
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Mendes, Isabel, Isabel Proença. 2009. "Measuring the social recreation per-day net benefit of wildlife amenities of a national park : a count-data travel cost approach". Instituto Superior de Economia e Gestão - DE working papers nº 35 - 2009/DE/SOCIUS.
0874-4548
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv ISEG - Departamento de Economia
publisher.none.fl_str_mv ISEG - Departamento de Economia
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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