Abstract

The article discusses the peculiarities of calculating the regional human development index in Ukraine in different time periods. The index is calculated using indicators combined into six blocks (population reproduction; social status; comfortable life; welfare; decent work; education). The indicators of the block “Decent Work” (employment level of the population; unemployment rate; the share of workers whose salary is less than 1,5 of the subsistence minimums; the share of workers who work in conditions that do not meet sanitary and hygienic standards; the ratio of average and minimum salaries; the level of social insurance) are considered and that block is used to evaluate working conditions. The results of analysis of the block “Decent Work” indicators for Odesa, Zakarpattia and Dnipropetrovsk regions are presented. That regions are chosen for the analysis because they were leaders during the analyzed period. The analysis was carried out by graphic method – graphic construction of multangular of competitiveness. According to the analysis it can be concluded that the conditions for work at sufficiently high level have not been created in the leader regions according to the indicators of the block “Decent Work”. The result of analysis shows that Odesa region had pretty good meanings of all indicators and the best value of “unemployment rate” indicator. Dnipropetrovsk region had the worst values of the indicator “the share of workers who work in conditions that do not meet sanitary and hygienic standards”. So, it is necessary to pay attention to the improvement of sanitary and hygienic conditions, it will allow the region to take leading position among other regions. Zakarpattia region had the lowest values of all indicators, except the indicator “the share of workers who work in conditions that do not meet sanitary and hygienic standards”. Generalizing indicators confirmed the leading positions of the studied regions in the region rating of Ukraine, however, that happened due to compensation of indicators values: there were high values of some indicators and significantly worse values of other indicators.

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