Abstract

FERNANDEZ LOPEZ, Reinier; VILALTA ALONSO, José Alberto; QUINTERO SILVERIO, Arely  and  CHAVEZ GOMIS, Rebeca María. Composite indicator through multivariate analysis of variance applied to the tourism sector. Coodes [online]. 2020, vol.8, n.1, pp. 68-82.  Epub Apr 02, 2020. ISSN 2310-340X.

At present, the process of measuring tourist indicators in Pinar del Río does not provide a composite indicator that offers a value as a measure of aggregation of the behavior of tourism indicators, since no procedure that considers several aspects simultaneously is used to obtain it; This causes the decision-making process to be affected. In this sense, the present work consists in developing a composite indicator for the different hotel chains through the use of Multivariate Analysis of Variance techniques, which allows obtaining a global measure to establish a ranking that supports the decision-making process in the different hotel chains in Pinar del Río. Statistical-mathematical methods were used, among others, in order to construct composite indicators.

Keywords : bootstrap; composite indicator; MANOVA; tourism.

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