Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/112979
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dc.contributor.authorDorta González, Pabloen_US
dc.contributor.authorGonzález Betancor, Sara Maríaen_US
dc.date.accessioned2021-12-16T09:03:52Z-
dc.date.available2021-12-16T09:03:52Z-
dc.date.issued2021en_US
dc.identifier.issn2227-7390en_US
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/112979-
dc.description.abstractThis work analyzes the tourist sector, the employment generated by the tourism industries, and its relationship with tourism receipts. The hypothesis is that there are tourist subsectors with a potentially higher level of income. The article studies the impact of the distribution of the employed population in the different subsectors of the tourism industry, controlling for the most important economic variables, on the level of income per arrival in 24 OECD countries, using panel data for the period 2008 to 2018. As its main result, the model indicates that the labor force that increases most the receipts per arrival is the 'travel agencies and other reservation services', followed by the 'sports and recreation industry' labor force, while having a large labor force in the 'food and beverage' or 'cultural industry' operates in the opposite direction.en_US
dc.languageengen_US
dc.relation.ispartofMathematicsen_US
dc.sourceMathematics 9(22): 2844 (2021)en_US
dc.subject531290 Economía sectorial: turismoen_US
dc.subject530710 Teoría y modelos de empleoen_US
dc.subject.otherEmploymenten_US
dc.subject.otherHospitalityen_US
dc.subject.otherHuman resourcesen_US
dc.subject.otherTourismen_US
dc.subject.otherWorkforceen_US
dc.titleEmployment in tourism Industries: are there subsectors with a potentially higher level of income?en_US
dc.typeArticleen_US
dc.identifier.doi10.3390/math9222844en_US
dc.identifier.scopus2-s2.0-85119145776-
dc.identifier.isiWOS:000724173500001-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.identifier.issue22-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,538-
dc.description.jcr2,592-
dc.description.sjrqQ2-
dc.description.jcrqQ1-
dc.description.scieSCIE-
dc.description.miaricds10,4-
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Análisis interdisciplinar de retos sociales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0003-0494-2903-
crisitem.author.orcid0000-0002-2209-1922-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameDorta González, Pablo-
crisitem.author.fullNameGonzález Betancor, Sara María-
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