Delineating the Tourism Profile of the EU Countries in Terms of Length of Stay using the Correspondence Factor Analysis Method

Aivaz Kamer-Ainur ()
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Aivaz Kamer-Ainur: “Ovidius†University of Constanta

Ovidius University Annals, Economic Sciences Series, 2018, vol. XVIII, issue 1, 65-69

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.

Keywords: length of stay; correspondence factor analysis (CFA); resident tourists (search for similar items in EconPapers)
JEL-codes: C10 C38 J63 L83 Z33 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:xviii:y:2018:i:1:p:65-69

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