Categorization of the EU Member States in the Context of Selected Multicriteria International Indices Using Cluster Analysis

Onuferová Erika (), Čabinová Veronika () and Matijová Mária ()
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Onuferová Erika: University of Prešov in Prešov, Faculty of Management, Department of Finance, Konštantínova 16, 080 01 Prešov, Slovak Republic
Čabinová Veronika: University of Prešov in Prešov, Faculty of Management, Department of Finance, Konštantínova 16, 080 01 Prešov, Slovak Republic
Matijová Mária: University of Prešov in Prešov, Faculty of Management, Department of Finance, Konštantínova 16, 080 01 Prešov, Slovak Republic

Review of Economic Perspectives, 2020, vol. 20, issue 3, 379-401

Abstract: The main aim of the paper was to analyse the economic and social development of the European Union (EU) member states (28 countries) on the basis of selected five multicriteria indices (the Global Competitiveness Index, the Economic Freedom Index, the Global Innovation Index, the Corruption Perceptions Index, the Human Development Index). To perform settled aim, a multidimensional classification of EU countries for years 2011 and 2018 using cluster analysis was realized. The purpose of the analysis was to categorize the individual EU countries into clusters and to find out to what extent the position of EU member states has changed in terms of selected international indices over the analysed period. Based on the findings, it is arguable that a major part of the EU member states cluster into the same groups based on the selected indices assessment, regardless of the time period. However, six countries (Czech Republic, Estonia, Germany, Latvia, Lithuania, and United Kingdom) improved their position during the period under review and ranked into the cluster of more prosperous countries in 2018. The rate of change (improvement) was quantified at the level of 21.43%. Based on the results, Latvia and Lithuania were the most similar countries in terms of economic prosperity (Euclidean distance reached the level of 3.08), while the least similar countries were Greece and Sweden (Euclidean distance reached the level of 70.8). Declining Euclidean distances indicate that economic disparities of the individual EU countries have decreased in the period under review. This paper aims at developing the research to find out how, besides hierarchy, we can analyse the EU member states from the perspective of various multicriteria indices. The four proposed clusters could be used as a starting point for future policy reforms, pointing to the weaknesses of various countries.

Keywords: Cluster analysis; economic development; EU member states; international indices; multidimensional classification (search for similar items in EconPapers)
JEL-codes: E60 O11 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:reoecp:v:20:y:2020:i:3:p:379-401:n:6

DOI: 10.2478/revecp-2020-0018

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