An empirical analysis of the influence of macroeconomic determinants on World tourism demand

Detalhes bibliográficos
Autor(a) principal: Martins, L. F.
Data de Publicação: 2017
Outros Autores: Gan, Y., Ferreira-Lopes, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/13104
Resumo: This paper considers three econometric models to determine the relationship between macroeconomic variables and tourism demand. Tourism demand is measured by the inbound visitor's population and also by on-the-ground expenditures. Macroeconomic determinants include the exchange rate, the relative domestic prices, and the World GDP per capita. The database is an unbalanced panel of 218 countries over the period 1995-2012. There is evidence that an increase in the World's GDP per capita, a depreciation of the national currency, and a decline of relative domestic prices do help boosting the number of arrivals and the correspondent expenditure level. The World's GDP per capita is more relevant when explaining arrivals, but relative prices become more important when we use expenditures as the proxy for tourism demand. In particular, we cannot reject the hypothesis of a relative prices unitary elasticity of expenditures. Additionally, we have also partitioned our data by income level and by continent. Results are robust in the first partition, but less robust in the second, although the main conclusions still hold.
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spelling An empirical analysis of the influence of macroeconomic determinants on World tourism demandExchange ratePanel data modelPoisson panel data modelRelative domestic pricesTourism demandWorld incomeThis paper considers three econometric models to determine the relationship between macroeconomic variables and tourism demand. Tourism demand is measured by the inbound visitor's population and also by on-the-ground expenditures. Macroeconomic determinants include the exchange rate, the relative domestic prices, and the World GDP per capita. The database is an unbalanced panel of 218 countries over the period 1995-2012. There is evidence that an increase in the World's GDP per capita, a depreciation of the national currency, and a decline of relative domestic prices do help boosting the number of arrivals and the correspondent expenditure level. The World's GDP per capita is more relevant when explaining arrivals, but relative prices become more important when we use expenditures as the proxy for tourism demand. In particular, we cannot reject the hypothesis of a relative prices unitary elasticity of expenditures. Additionally, we have also partitioned our data by income level and by continent. Results are robust in the first partition, but less robust in the second, although the main conclusions still hold.Elsevier2017-04-21T14:20:16Z2017-01-01T00:00:00Z20172019-03-22T09:43:31Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/13104eng0261-517710.1016/j.tourman.2017.01.008Martins, L. F.Gan, Y.Ferreira-Lopes, A.info: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:RCAAP2023-11-09T17:46:25Zoai:repositorio.iscte-iul.pt:10071/13104Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:22:18.989052Repositório 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 An empirical analysis of the influence of macroeconomic determinants on World tourism demand
title An empirical analysis of the influence of macroeconomic determinants on World tourism demand
spellingShingle An empirical analysis of the influence of macroeconomic determinants on World tourism demand
Martins, L. F.
Exchange rate
Panel data model
Poisson panel data model
Relative domestic prices
Tourism demand
World income
title_short An empirical analysis of the influence of macroeconomic determinants on World tourism demand
title_full An empirical analysis of the influence of macroeconomic determinants on World tourism demand
title_fullStr An empirical analysis of the influence of macroeconomic determinants on World tourism demand
title_full_unstemmed An empirical analysis of the influence of macroeconomic determinants on World tourism demand
title_sort An empirical analysis of the influence of macroeconomic determinants on World tourism demand
author Martins, L. F.
author_facet Martins, L. F.
Gan, Y.
Ferreira-Lopes, A.
author_role author
author2 Gan, Y.
Ferreira-Lopes, A.
author2_role author
author
dc.contributor.author.fl_str_mv Martins, L. F.
Gan, Y.
Ferreira-Lopes, A.
dc.subject.por.fl_str_mv Exchange rate
Panel data model
Poisson panel data model
Relative domestic prices
Tourism demand
World income
topic Exchange rate
Panel data model
Poisson panel data model
Relative domestic prices
Tourism demand
World income
description This paper considers three econometric models to determine the relationship between macroeconomic variables and tourism demand. Tourism demand is measured by the inbound visitor's population and also by on-the-ground expenditures. Macroeconomic determinants include the exchange rate, the relative domestic prices, and the World GDP per capita. The database is an unbalanced panel of 218 countries over the period 1995-2012. There is evidence that an increase in the World's GDP per capita, a depreciation of the national currency, and a decline of relative domestic prices do help boosting the number of arrivals and the correspondent expenditure level. The World's GDP per capita is more relevant when explaining arrivals, but relative prices become more important when we use expenditures as the proxy for tourism demand. In particular, we cannot reject the hypothesis of a relative prices unitary elasticity of expenditures. Additionally, we have also partitioned our data by income level and by continent. Results are robust in the first partition, but less robust in the second, although the main conclusions still hold.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-21T14:20:16Z
2017-01-01T00:00:00Z
2017
2019-03-22T09:43:31Z
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/10071/13104
url http://hdl.handle.net/10071/13104
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0261-5177
10.1016/j.tourman.2017.01.008
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 Elsevier
publisher.none.fl_str_mv Elsevier
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
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