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The digitalization process is the subject of research both for national and foreign researchers. The papers specified describe and analyze both the economic and social aspects of this process. A slightly limited number of papers by Russian authors is dedicated to this subject. The practical application of the results obtained is complicated due to the line of objective factors. A hypothesis of this study is an assumption of a close relationship between the national economic system's digital development and the result of its functioning, together with the unemployment parameters in terms of education existing. The objective of this study is to form a model of interconnection between the categories specified. The methodical base was formed by grouping, analysis and synthesis methods, and the regression analysis. The approach offered is based on objective data of the official statistics. Initial data were divided into four categories, each of which reflects the individual features of the separate areas. Characteristics calculated allowed assessing the dynamics and trends of indicators change and determining several challenging directions. An assumption was made that the economic growth due to digitalization faced limitations of infrastructure and technology nature. Common dynamics of the aggregate indicator of the national economy digitalization is positive. With the purpose to confirm the hypothesis expressed, a regression model of interconnection between the digital economy development and gross domestic product development indicator, and in relation to the number of unemployed people in terms of the existing education, was built. The connection is very strong, which proven by the correlation factor calculation. The results obtained can be used by the state authorities of federal and regional levels and the methodical fundamentals in making managerial decisions in the part of developing and implementation of strategic planning documents in conditions of digitalization. Further direction of the study is seen as forming similar models on the regional level with regard to individual features. This will allow revealing the existing reserves and developing the strategy of their use. In addition, it is possible to form models in terms of the sector, that will allow forecasting the number of the unemployed in terms of education and, possibly, professions.

proceedings of the 2nd international scientific and practical conference “modern management trends and the digital economy: from regional development to global economic growth” (mtde 2020)

Digitalization of Economy as the Economic Growth and Unemployment Risk Decrease Factor