Journal of Yaşar University

Yazarlar: Oktay EMIR, İbrahim KILIC

Konular:-

DOI:10.19168/jyu.26264

Anahtar Kelimeler:Tourism indicators,Tourism development index,Tourism statistics,Multivariate analysis

Özet: In the studies that compare countries in terms of tourism indicators, countries are usually evaluated with reference to only one indicator. However, in this evaluation, two important factors such as their population and economic size are usually ignored. Moreover, a standardization which is comprised by different units of measurement (number, time, ratio, etc.) is not applied. This situation causes countries to be wrongly compared in terms of tourism statistics. In this study, it is aimed to rank and classify 47 countries that have examples from almost every region in the world in terms of 9 indicators containing the tourism data between 2004 and 2009 by using multivariate statistical methods. Principal component analysis has been used in order to create the tourism development index for ranking the countries, cluster analysis for classifying, and multidimensional scaling analysis for their place in two-dimensional space. The findings of both standardized and non-standardized data have been provided in order them to be compared. According to the “the tourism development index”, the first 3 countries for non-standardized data is USA, France and Spain; nevertheless, this ranking has changed as USA, Egypt and Jamaica for standardized data. On the other hand, it has been observed that the countries have clustered in the best two groups in terms of similarity and/or difference levels for both data sets.

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