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

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.

Influence of environmental policies on waste treatment

“…Previous studies in the WM literature have grouped regions by means of cluster analysis (Castillo-Gimenez et al, 2019;İçöz and Er, 2020). Some authors, such as Onuferová et al (2020), use international economic and social indicators to identify homogeneous groups of EU members in order to shed light on existing weak spots and guide future political reforms. Following this line of research, the empirical analysis proposed here makes use of this methodology to identify groups of countries that are similar in terms of their participation in and compliance with environmental policies (Global Environmental Policy, Multilateral Environmental Agreements and Kyoto Participation and Achievements).…”

Corruption and Inflation in Agricultural Production: The Problem of the Chicken and the Egg

“…The Corruption Perception Index (CPI) is a multicriteria indicator (Onuferova et al 2020) that appears to be relevant for ranking countries worldwide (Clem 2011). Alternatively, the level of corruption may be measured through the Control of Corruption Index (Ruiz Morillas 2016).…”