2026-06-06T19:09:15Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/257192026-02-03T11:53:25Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Benítez-Márquez, María Dolores
author
Trujillo-Aranda, Francisco
author
Sánchez-Teba, Eva María
author
Bermúdez-González, Guillermo José
2023-01-12T09:59:29Z
2023-01-12T09:59:29Z
2022
Benítez-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/TMS2022
https://hdl.handle.net/10630/25719
The 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.
eng
Turismo - Congresos
Modelling the Travel and Tourism Competitiveness Index 2015
conference output
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