The aim of the article is to identify a degree of inclusive growth and to examine the influence of determinants of inclusive growth in the European Union (EU-27) countries, with particular emphasis on factors related to the influence of governments and central banks. The study took advantage of the weight correlation method, which was used to build an inclusive growth measure for the EU-27 for the years 2000, 2008, and 2020. For the construction of the inclusive growth rate, 42 factors were

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... cted that affect inclusive growth in the economic, financial, and non-wage area. These determinants are found in the area of the influence of economic authorities, and mainly in the area of authorities responsible for conducting monetary and fiscal policy and general governance. On the basis of the built-up indicator of inclusive growth, it was noticed that among the 27 EU countries in the studied three years, only four countries distinguished themselves with the highest inclusive growth over the last 21 years, these are: Denmark, Luxembourg, Sweden, and Finland. On the other hand, invariably, three countries recorded the lowest inclusive growth, i.e., Bulgaria, Croatia, and Romania. The added value of the structure of the inclusive growth indicator was a possibility to observe which of the three areas: economic, financial, or non-wage, had a significant impact on the position of a given country in the compiled inclusive growth ranking.