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EN
Purpose: The purpose of this article is to compare the results of linear ordering conducted using various methods to assess the achievement level of the tenth sustainable development goal, i.e., reducing inequalities in European Union countries in 2022. A specific aim of the study is also to identify the technique that shows the greatest agreement with other forms of ordering. Design/methodology/approach: In this study, three methods of linear ordering were used to assess the diversity of inequality levels in the European Union. The reference methods include Hellwig's development measure and the classical TOPSIS method. A non-reference method was also used based on the averaged values of normalized features. The synthetic variables were computed using indicators of the tenth sustainable development goal, which were applied to assess progress in goal achievement in EU countries. To assess the consistency of the obtained rankings, Kendall's rank correlation coefficients were calculated, and similarity measure vectors were computed. Findings: The study addresses the issue of choosing a linear ordering method to determine the level of achievement of the 10th Sustainable Development Goal, which aims to reduce inequalities in the European Union countries in 2022. Based on the analysis, it can be concluded that the choice of synthetic variable construction procedure affects the ranking of the examined objects. Based on the similarity measure vectors of the rankings, it was found that the ranking constructed using the TOPSIS method with zero unitarization is the closest to all other rankings. Research limitations/implications: The authors acknowledge that the choice of variables for the study does not fully capture the level of socio-economic inequalities in EU countries. The study used only the indicators of the 10th Sustainable Development Goal, monitored and published by Eurostat, to assess the level of inequality. Additionally, the final ordering of objects within linear ordering methods depends on the variable selection and normalization method adopted by the researchers. Practical implications: The study's results may be useful for policymakers in the European Union countries. Using an aggregate synthetic measure to assess a multidimensional phenomenon can facilitate evaluating progress in achieving the goal. Additionally, the application of an appropriate method to identify the countries best achieving the goal provides an opportunity to identify processes contributing to success and apply them in countries with lower levels of goal achievement. Originality/value: The study proposes the use of a multi-criteria analysis approach, which is currently considered an effective method for measuring and describing multifactor phenomena. Several methods of variable aggregation often yield different results. Therefore, it seems appropriate to compare several methods of evaluating a given phenomenon and choose the one with the greatest agreement with others. This procedure is not commonly used as a standard quantitative tool in assessing the diversity of inequality levels in EU countries.
2
Content available remote Globalny Indeks Pokoju
PL
Autorzy zapoznają z metodologią szacowania Globalnego Indeksu Pokoju, rankingiem państw w ostatnich latach oraz przedstawiają miejsce Polski na tle innych krajów. Ukazują słabe i mocne strony naszego państwa w kształtowaniu tego indeksu. Podejmują próbę udoskonalenia Globalnego Indeksu Pokoju.
EN
The authors feature the measurement methodology for Global Peace Index (GPI), city ranking in the recent years and Poland's place on the list. They point to both weak and strong points of our country affecting the GPI. They suggest ideas to improve our GPI.
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