A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
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/10198/25422 |
Resumo: | Recreational Ecosystem Services (RES) are among the most frequently evaluated ecosystem services. RES are seen as a major opportunity for sustainable development in areas of high ecological value resulting from the presence of emblematic species, habitats or scenery, often integrated in conservation areas, in particular in mountain areas affected by depopulation, rising environmental risks and poverty. Economically, the assessment of RES has been based on Contingent Valuation and Choice Experiments, methods with limitations related to their subjectivity. Alternatively, Input-Output (IO) models provide a very accurate and effective way of valuation of RES with regional information regarding interindustry transactions. Whilst data on nature tourist expenditure may be only available annually, tourism inflows have a strong seasonal behavior, which impacts the profitability of several local economic activities. In this paper, we firstly constructed a novel regionalized IO-model based on Cross-Industry Location Quotients using employment data and, secondly, based on Monte Carlo simulation, we estimated nature tourist expenditure monthly using data on nature tourism inflows. This method allowed for a more precise RES evaluation, estimating direct, indirect and induced monthly economic impacts of nature-based tourism. The method was applied to the Ordesa and Monte Perdido (OMP) National Park in the Spanish Pyrenees. To estimate the average tourist expenditure, we collected and analyzed spending on commerce, hospitality and restaurants, leisure, and transport of 385 visitors. Results suggest that using a regionalized IO model leads to a considerable reduction of over-estimation of the economic impact of tourist expenditure estimated by conventional methods. Taking into consideration the direct, indirect and induced effects of tourist expenditure in 2016-2018, the total annual output effect in the OMP National Park amounted to €208.8 million, while the total income effect amounted to €86.29 million. Also, a total of 2,429 jobs were created which indicates that for each thousand annual visitors to the National Park, 3.8 jobs are created in the surrounding area. Overall, the proposed methodology can be easily applied to the remaining National Parks in Spain or other regions in the world, making it a valuable tool to estimate the value of RES in areas affects by strong seasonality, to set priorities and support regional policies for mountain sustainable development. |
id |
RCAP_c6d5420f10f0c79b8689c4bc0141a68b |
---|---|
oai_identifier_str |
oai:bibliotecadigital.ipb.pt:10198/25422 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in SpainInput-outputMonte Carlo simulationLocation quotients;Recreational ecosystem servicesNature tourismSustainable mountain developmentRecreational Ecosystem Services (RES) are among the most frequently evaluated ecosystem services. RES are seen as a major opportunity for sustainable development in areas of high ecological value resulting from the presence of emblematic species, habitats or scenery, often integrated in conservation areas, in particular in mountain areas affected by depopulation, rising environmental risks and poverty. Economically, the assessment of RES has been based on Contingent Valuation and Choice Experiments, methods with limitations related to their subjectivity. Alternatively, Input-Output (IO) models provide a very accurate and effective way of valuation of RES with regional information regarding interindustry transactions. Whilst data on nature tourist expenditure may be only available annually, tourism inflows have a strong seasonal behavior, which impacts the profitability of several local economic activities. In this paper, we firstly constructed a novel regionalized IO-model based on Cross-Industry Location Quotients using employment data and, secondly, based on Monte Carlo simulation, we estimated nature tourist expenditure monthly using data on nature tourism inflows. This method allowed for a more precise RES evaluation, estimating direct, indirect and induced monthly economic impacts of nature-based tourism. The method was applied to the Ordesa and Monte Perdido (OMP) National Park in the Spanish Pyrenees. To estimate the average tourist expenditure, we collected and analyzed spending on commerce, hospitality and restaurants, leisure, and transport of 385 visitors. Results suggest that using a regionalized IO model leads to a considerable reduction of over-estimation of the economic impact of tourist expenditure estimated by conventional methods. Taking into consideration the direct, indirect and induced effects of tourist expenditure in 2016-2018, the total annual output effect in the OMP National Park amounted to €208.8 million, while the total income effect amounted to €86.29 million. Also, a total of 2,429 jobs were created which indicates that for each thousand annual visitors to the National Park, 3.8 jobs are created in the surrounding area. Overall, the proposed methodology can be easily applied to the remaining National Parks in Spain or other regions in the world, making it a valuable tool to estimate the value of RES in areas affects by strong seasonality, to set priorities and support regional policies for mountain sustainable development.We gratefully acknowledge financial support from the Organismo Autónomo de Parques Nacionales (Project V09-Cátedra de Parques Nacionales) to the development of this study. The authors would like to acknowledge the entire staff and the stakeholders of the Ordesa and Monte Perdido National Park for their support in this endeavor.Biblioteca Digital do IPBMartin Barroso, VíctorCastro-Pardo, Mónica deFernández Martínez, PascualAzevedo, João2022-05-09T10:37:55Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/25422engMartin Barroso, Víctor; Castro-Pardo, Mónica de; Fernández Martínez, Pascual; Azevedo, João (2022). A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain. Journal of Mountain Science. ISSN 1993-0321. 19;1, p. 1-171993-032110.1007/s11629-021-6911-31672-6316info: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:RCAAP2023-11-21T10:56:54Zoai:bibliotecadigital.ipb.pt:10198/25422Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:16:04.435314Repositório 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 |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain |
title |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain |
spellingShingle |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain Martin Barroso, Víctor Input-output Monte Carlo simulation Location quotients; Recreational ecosystem services Nature tourism Sustainable mountain development |
title_short |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain |
title_full |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain |
title_fullStr |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain |
title_full_unstemmed |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain |
title_sort |
A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain |
author |
Martin Barroso, Víctor |
author_facet |
Martin Barroso, Víctor Castro-Pardo, Mónica de Fernández Martínez, Pascual Azevedo, João |
author_role |
author |
author2 |
Castro-Pardo, Mónica de Fernández Martínez, Pascual Azevedo, João |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Martin Barroso, Víctor Castro-Pardo, Mónica de Fernández Martínez, Pascual Azevedo, João |
dc.subject.por.fl_str_mv |
Input-output Monte Carlo simulation Location quotients; Recreational ecosystem services Nature tourism Sustainable mountain development |
topic |
Input-output Monte Carlo simulation Location quotients; Recreational ecosystem services Nature tourism Sustainable mountain development |
description |
Recreational Ecosystem Services (RES) are among the most frequently evaluated ecosystem services. RES are seen as a major opportunity for sustainable development in areas of high ecological value resulting from the presence of emblematic species, habitats or scenery, often integrated in conservation areas, in particular in mountain areas affected by depopulation, rising environmental risks and poverty. Economically, the assessment of RES has been based on Contingent Valuation and Choice Experiments, methods with limitations related to their subjectivity. Alternatively, Input-Output (IO) models provide a very accurate and effective way of valuation of RES with regional information regarding interindustry transactions. Whilst data on nature tourist expenditure may be only available annually, tourism inflows have a strong seasonal behavior, which impacts the profitability of several local economic activities. In this paper, we firstly constructed a novel regionalized IO-model based on Cross-Industry Location Quotients using employment data and, secondly, based on Monte Carlo simulation, we estimated nature tourist expenditure monthly using data on nature tourism inflows. This method allowed for a more precise RES evaluation, estimating direct, indirect and induced monthly economic impacts of nature-based tourism. The method was applied to the Ordesa and Monte Perdido (OMP) National Park in the Spanish Pyrenees. To estimate the average tourist expenditure, we collected and analyzed spending on commerce, hospitality and restaurants, leisure, and transport of 385 visitors. Results suggest that using a regionalized IO model leads to a considerable reduction of over-estimation of the economic impact of tourist expenditure estimated by conventional methods. Taking into consideration the direct, indirect and induced effects of tourist expenditure in 2016-2018, the total annual output effect in the OMP National Park amounted to €208.8 million, while the total income effect amounted to €86.29 million. Also, a total of 2,429 jobs were created which indicates that for each thousand annual visitors to the National Park, 3.8 jobs are created in the surrounding area. Overall, the proposed methodology can be easily applied to the remaining National Parks in Spain or other regions in the world, making it a valuable tool to estimate the value of RES in areas affects by strong seasonality, to set priorities and support regional policies for mountain sustainable development. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-09T10:37:55Z 2022 2022-01-01T00:00:00Z |
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/10198/25422 |
url |
http://hdl.handle.net/10198/25422 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Martin Barroso, Víctor; Castro-Pardo, Mónica de; Fernández Martínez, Pascual; Azevedo, João (2022). A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain. Journal of Mountain Science. ISSN 1993-0321. 19;1, p. 1-17 1993-0321 10.1007/s11629-021-6911-3 1672-6316 |
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.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 |
|
_version_ |
1799135444883996672 |