Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/77096
Campo DC Valoridioma
dc.contributor.authorPérez Rodríguez, Jorge Vicenteen_US
dc.contributor.authorRachinger, Heikoen_US
dc.contributor.authorSantana Gallego,Mariaen_US
dc.date.accessioned2021-01-12T12:57:53Z-
dc.date.available2021-01-12T12:57:53Z-
dc.date.issued2020en_US
dc.identifier.issn1354-8166en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/77096-
dc.description.abstractIn this article, we analyse whether tourism promotes economic growth using a general dynamic panel data model that incorporates individual and interactive fixed effects and allows for contemporaneous correlation in model innovations. The empirical study is based on quarterly series of GDP and tourist arrivals for 14 European countries covering the period from 1995 to 2019. Results indicate that the case for a positive long-run relationship between tourism and economic growth is rather weak, being slightly stronger for the period prior to the global economic and financial crisis from 2007 to 2010. When applying panel fractional cointegration techniques, we find evidence in favour of the tourism-led growth hypothesis (TLGH) for the full sample mainly for North European countries. For the pre-crisis period, on the other hand, we find evidence in favour of the TLGH for the relevant tourist destinations Spain and France.en_US
dc.languageengen_US
dc.relation.ispartofTourism Economicsen_US
dc.sourceTourism Economics [ISSN 1354-8166], 3 enero 2021en_US
dc.subject531290 Economía sectorial: turismoen_US
dc.subject.otherFractional Integration And Cointegrationen_US
dc.subject.otherPanel Dataen_US
dc.subject.otherRecent Financial Crisisen_US
dc.subject.otherTourism-Led Growth Hypothesisen_US
dc.titleDoes tourism promote economic growth?: a fractionally integrated heterogeneous panel data analysisen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1177/1354816620980665en_US
dc.identifier.scopus85098713228-
dc.contributor.authorscopusid56216749800-
dc.contributor.authorscopusid56124406400-
dc.contributor.authorscopusid36119110700-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2020en_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,812
dc.description.jcr1,04
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.ssciSSCI
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-6738-9191-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNamePérez Rodríguez, Jorge Vicente-
crisitem.author.fullNameSantana Gallego,Maria-
Colección:Artículos
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