Interregional Differentiation and Heterogeneity of the Consequences of Pandemic Restrictions in Russia

Abstract

   The purpose of the study is to analyze the features of the economic development of Russian regions under the influence of various socio-economic factors and the differentiation of region groups depending on the implementation of state regulation of economic activity measures in them during the pandemic period.   The analysis was carried out using statistical methods (primarily methods of statistical groupings and correlation-regression analysis). The conceptual and methodological principles for assessing changes in economic activity in Russian regions after the introduction of restrictive measures of different levels of severity are outlined based on the study of Russian and foreign scientific publications on the issues under consideration. A regression model uses to identify the influence of the studied factors. To identify the impact of the studied factors, the authors built a regression model that included the following statistical indicators: index of industrial production, unemployment rate, share of the urban population, share of the region's gross value added (GVA), number of small and medium-sized enterprises (excluding micro-enterprises) per 10,000 population, share of the region in the production of all Russian mining enterprises, region openness coefficient, average per capita monetary income of the population, poverty level. The final part of the article presents the results of the study indicating that pandemic restrictions, depending on the degree of their severity, had a different impact on the economy of the regions. The authors emphasize the heterogeneity of changes in the factors determining the economic activity of regions under the influence of restrictive measures on the part of governments, particularly regional authorities.