Modelling the Travel and Tourism Competitiveness Index 2015

dc.centroFacultad de Ciencias Económicas y Empresarialeses_ES
dc.contributor.authorBenítez-Márquez, María Dolores
dc.contributor.authorTrujillo-Aranda, Francisco
dc.contributor.authorSánchez-Teba, Eva María
dc.contributor.authorBermúdez-González, Guillermo José
dc.date.accessioned2023-01-12T09:59:29Z
dc.date.available2023-01-12T09:59:29Z
dc.date.created2023
dc.date.issued2022
dc.departamentoEconomía Aplicada (Estadística y Econometría)
dc.description.abstractThe Travel and Tourism Competitiveness Index measures the factors and policies that make attractive the development of the tourism sector in different countries, providing rankings. The World Economic Forum started its publication in 2007. In this sense, some academics such as Mazanec and Ring (2011) criticized the arbitrary approach of assigning equal weighting to the three subindexes and 13 pillars in order to form this index and have estimated several models for the Travel and Tourism Competitiveness Index. Their results present problems of multicollinearity and implausible negative sign for natural resources, among other results. However, this index changed in 2015, assigning again equal weighting to the four subindexes and 14 pillars. This work finished in 2015 constitutes modifications of the PLS-SEM model published by Mazanec and Ring in 2011. Two complementary partial least squares structural equation models tested the hypotheses of the postulated positive relationship between each pillar and this tourism competitiveness index. Our models consider other different nomograms trying mainly to avoid the problem of multicollinearity and to clarify the importance of the pillars in the index composition. In one of the models, the pillars with the greatest weight in tourism competitiveness are cultural resources and business travel and natural resources, according to the main competitiveness destinations models reviewed. In the other model, only two pillars human resources and TICs formed an exogenous composite explaining the competitiveness index’s variance. However, further research should be implemented on how to form the Travel and Tourism Competitiveness index.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.identifier.citationBenítez-Márquez, M.-D.; Trujillo Aranda, F.; Sánchez-Teba, E.M.; Bermúdez-González, G. (2022). Modelling the Travel and Tourism Competitiveness Index 2015. In Margarida Custódio Santos; José António C. Santos; Alexandra Rodrigues Gonçalves and Miguel Á. Solano-Sánchez (Eds). Book of abstracts. The TMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management Tourism Management Studies International Conference. 16-19 November 2022, Olhão, Portugal. doi: https://doi.org/10.34623/eryw-0423. http://www.esght.ualg.pt/tms2022/index.php/tms2022/TMS2022es_ES
dc.identifier.urihttps://hdl.handle.net/10630/25719
dc.language.isoenges_ES
dc.publisherTMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management (Tourism Management Studies International Conference)es_ES
dc.relation.eventdate16-19 November 2022es_ES
dc.relation.eventplaceOlhão, Portugales_ES
dc.relation.eventtitleTMS ALGARVE 2022: Sustainability Challenges in Tourism, Hospitality and Management (Tourism Management Studies International Conference)es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectTurismo - Congresoses_ES
dc.subject.otherThe Travel and Tourism Competitiveness Indexes_ES
dc.subject.otherpartial least square structural equation modellinges_ES
dc.subject.otherWorld Economic Forumes_ES
dc.subject.otherrankingses_ES
dc.subject.otherstructural equation modelling based on variancees_ES
dc.titleModelling the Travel and Tourism Competitiveness Index 2015es_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery64c295c8-1b06-43f9-98f3-de268194e344

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