Study From Indicators of Tourist Competitiveness to Leave of Predictive Variable.
DOI:
https://doi.org/10.52579/diapi.vol4.i.a18677Keywords:
Tourism competitiveness, Competitiveness ranking, Competitiveness indicators, Predictive variablesAbstract
The competitiveness ranking of the World Economic Forum is based on the Tourism and Travel Competitiveness Index. A good location in the ranking provides good reputation and international prestige for any country. The edition in 2017 includes only 20 countries in Central America and the Caribbean; Cuba is not found. This is because indicators that are measured to determine the tourism and travel competitiveness index do not have an evaluation in these countries because they lack the relevant information. The objective of the research is to make, based on the available information, a study of tourism competitiveness indicators and select the variables that are potential predictors of the WEF's score, to subsequently establish a model in which the position of the countries that are not. The principal components analysis was used to reduce the number of variables. To ensure that the selected variables are good predictors of the ranking, Cluster Analysis will be used from case analysis. With the determination of the predictor variables of the tourist competitiveness index, a better management of tourist destinations (country destination) is provided.
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Copyright (c) 2023 Yudanys Román Almaguer, Maria Amparo León Sánchez, Marian García Cruz, Marislay García Cruz
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