The Similarity Analysis of Industrial Development in EU Countries and Turkey Using the Hierarchical Cluster Technique
AbstractIndustrial activities have a notable percentage in whole national economies. Thus, it is necessaryto follow the development of the industrial activities to be able to review economic development.Identification of similarities or differences among countries provides the ability to notice more clearlythe level of regional development and its problems. However, it makes complex subject with a largenumber of data and with different national data methodology for each country and year. Statisticalanalysis is a proven tool to make it easier. The goal was to follow the developments since it has the abilityto summarize complex data. In this study, we found out similar characteristics among EU Countries(except Croatia which joined EU in 2013) and Turkey by using export and import rates, industrialproduction index, recent prices, percent of GDP of industry parameters in industrial sector variables.Squared Euclid distance, Pearson proximity matrix and Ward’s method were used to calculate distancesbetween different countries variables and to find out country groups which have similar developmentcharacteristics. The analyses were supported with dendogram and maps.
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