QUANTITATIVE EVALUATION OF THE LIVING STANDARDS OF THE RUSSIAN FEDERATION REGIONS


UDC 519.237.8
DOI:10.26102/2310-6018/2020.29.2.014

N.A. Shchukina, A.V. Golub

The study is devoted to the issue of assessing the living standards and quality of the Russian Federation regions in 2010-2018. An integral indicator is formed on the basis of the values of 33 socio-economic indicators and acts as an indicator of assessing the living standards. Selected for the study indicators are combined into seven groups: the income level of the population, the level of development of the consumer market, the standard of housing and quality of housing conditions, level of development and availability of health and education, demographic indicators, employment and unemployment, as well as the environment. The information base of the study consists of official statistics for 2010-2018. Based on the results of the integral indicator calculations the distribution of Russian regions by the living standards is obtained. The changes dynamics in the average Russian integral indicator indicates a decrease in the living standards of over the period under review. To conduct a comparative analysis of changes in the living standard in the Russian Federation regions for each region, the total increments of the integral indicator and its components were obtained. These values formed a feature space for identifying homogeneous groups of regions by the total increment of each of the seven indicators using cluster analysis methods. As a result of the stable classification procedure, the Russian Federation regions were divided into three homogeneous groups and 13 atypical regions were identified. Atypical regions differ in subindex increments that are not typical for the selected groups. A significant disparity in the rate of change in the living standard was revealed. This characterizes the lack of effectiveness of state planning and implementation of social programs at the regional level.

Keywords: living standards, integral indicator, ranking, classification of regions, cluster analysis.

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