International Congress on Eurasian Economies

International Conference on Eurasian Economies

17-18 September 2013 – St. Petersburg, RUSSIA

Paper detail

Paper ID : 816
Status : Paper published
Language : Turkish
Topic : Sectoral Analyses
Presenter: Asst. Prof. Dr. Selay Giray
Session : 4C Turizm I

Classification of Countries According to their Tourism Statistics via Different Cluster Analysis Methods and the Place of Turkey in this Structure
Ülkelerin Turizm İstatistikleri Bakımından Farklı Kümeleme Analizi Metotları ile Sınıflandırılması ve Türkiye’nin Bu Oluşumdaki Yeri

Abstract

The aim of this study is to classify the countries according to their tourism indicators via different cluster analysis methods and compare the findings. Using classical cluster analysis and fuzzy clustering together will be more appropriate to determine the World tourism structure. In this way the findings can be interpreted more detailed and comparatively. Data obtained from website of Worldbank (3 basic international tourism statistics of 159 countries for the year 2010) and findings are gained using NCSS (statistical software) 2007. According to the findings of fuzzy clustering method, Turkey belogs to a cluster which contains ABD, United Kingdom, China, Austria, France, Germany, Italy, Malaysia, Spain, Hong Kong, Russian Federation, and Ukraine. According to the findings of classical clustering method (k means), Turkey is in the same cluster with same countries except Hong Kong. Also the findings of two techniques are similar about Turkey. Such a result can be expected correspondingly grading the countries about international their tourism data in 2011. Different clustering methods findings are steady about Euroasian countries too. Except Russian Federation and Ukraine all of the other Euroasian countries are located together in same cluster depending upon two different clustering methods. In conclusion two different clustering methods provide consistent (similar) results about the classification of countries according their internatianol tourism statistics.

JEL codes: C38, C18

Giray, Selay (2013). "Classification of Countries According to their Tourism Statistics via Different Cluster Analysis Methods and the Place of Turkey in this Structure" in Proceedings of International Conference of Eurasian Economies 2013, pp.695-704, St. Petersburg, RUSSIA.

DOI: https://doi.org/10.36880/C04.00816

Full paper in PDF format.

Session 4C: Turizm I

Istanbul Beykent University Turkish Central Bank TIKA