HIJERARHIJSKO GRUPISANJE ZEMALJA EU PREMA INDIKATORIMA CIRKULARNE EKONOMIJE

Circular economy indicators can be used for ranking countries and their hierarchical clustering. It shows the differences and similarities in the progress between individual countries, made toward the realization of the principles of the circular economy (CE). CE is a modern concept and the aspiration to preserve resources and protect the environment. The paper presents a cluster analysis at the level of the European Union (EU27) countries, based on the data of CE composite indicators, which is managed by the statistical office of the European Union (Eurostat). SPSS IBM 26.0 statistics software was used for cluster analysis, while the ANOVA method was applied to check the statistical significance of the obtained results. The most important results achieved in the paper are the classification into 6 clusters within the EU27 countries, with similar policies in the area of the circular economy. The best-ranked cluster is cluster 6 which consists of only 1 country, the Netherlands, the European leader in the circular economy. Accordingly, this paper aims to determine the similarities and differences between the EU member states in the implementation of circular economy postulates by dividing them into clusters. In this way, the highest mean values of the indicators within the cluster will be determined, and thus the circular economy model that other clusters should follow.Indikatoricirkularne ekonomije mogu se primeniti za rangiranje zemalja, kao i njihovo hijerargijsko grupisanje. To pokazuje razlike i sličnosti u napretku između pojedinih zemalja, ostvarenog ka realizaciji principa cirkularne ekonomije. Cirkularna ekonomija, je savremeni koncept sa težnjom ka očuvanju resursa i zaštiti životne sredine. U okviru rada prikazana je klaster analiza, na nivou zemalja Evropske unije (EU27) bazirana na podacima kompozitnih indikatora cirkularne ekonomije, koje vodi Evropska služba za statistiku (Eurostat). Softver za statistiku SPSS IBM 26.0 je korišćen za klaster analizu, dok je ANOVA metod primenjen za proveru statističke značajnosti dobijenih rezultata. Najvažniji rezultati do kojih se došlo u radu su klasifikacija na 6 klastera u okviru EU27 zemalja, sa sličnim politikama u oblasti cirkularne ekonomije. Najbolje rangirani klaster je klaster 6 koji čini samo 1 zemlja, Holandija, evropski lider u oblasti cirkularne ekonomije. Shodno tome, cilj ovog rada je utvrđivanje sličnosti i razlika između zemalja članica EU u implementaciji postulata cirkularne ekonomije njihovim deljenjem u klastere. Na ovaj način, biće utvrđene najviše srednje vrednosti indikatora u okviru klastera a samim tim i model cirkularne ekonomije koji bi ostali klasteri trebalo da slede