Ovidius University Annals: Economic Sciences Series (Jan 2018)
Delineating the Tourism Profile of the EU Countries in Terms of Length of Stay using the Correspondence Factor Analysis Method
Abstract
It is well known that the international statistics provide us with different databases of Europeantourist traffic. The choice of certain statistical and mathematical methods and software forprocessing these databases can provide the framework for carrying out research covering the mostdiverse aspects, from the measurement of the tourist market and the analysis of its evolution on itstwo main components, tourism demand and supply, to the knowledge of the tourists’ behavior andidentification of similarities and/ or differences in the manifestation of their tourist activitiesaccording to their country of residence. This work is concerned with the application of the correspondence factor analysis (CFA)method, using the statistical software SPSS-Statistical Package for Social Sciences, which leads toa comparative study on the distribution of the number of domestic trips taken in 27 EU countries,in 2015.
