Relevance. The coronavirus pandemic has lead to one of the most serious crises in the global economy. The significant disparities between Russian regions influenced the levels of morbidity and their strategies of containing the crisis. Research objective. The aim of this paper is to identify the factors of regional development which, during the pandemic and in the post-pandemic period, affected and will affect the economic stability of Russian regions. Materials and Methods. The research is based on the Rosstat data, industry reviews, materials from analytical and consulting firms, Russian and international research literature. The research methodology is based on the structuralist approach and the provisions of the new structural economics put forward by J. Lin. The methods of comparative, statistical, and structural analysis were also used. Results. The most significant factors in regional economic development are the structure of the economy and the quality of public administration at the national and regional levels. The high-tech sector in the structure of a regional economy plays a pivotal role in ensuring its stability in the times of crisis. The study shows the need for a transition to independent national value chains. It is also necessary to develop a long-term national strategy aimed at stimulating the structural transformation of regional economies. Conclusions. The study has demonstrated the importance of the two key factors in shaping the regions’ responses to the pandemic and the speed of their recovery – the structure of regional economy and the role of the government. These factors should be taken into account by the Strategy of the State Regional Industrial Policy.
Subject. The article focuses on contemporary trends in the industrial and socio-economic development of Russia during the technological transformation of its sectors.
Objectives. The study is an attempt to analyze what opportunities and difficulties may arise for the development of the industrial sectors in Russia. We also examine the dynamics of key development indicators of the industrial sectors, point out inhibitors of their competitiveness.
Methods. The methodological framework comprises general methods of systems, structural-functional and comprehensive approaches to analyzing economic phenomena. We applied graphic, economic-statistical methods of research, conventional methods of grouping, comparison and generalization, and the logic, systems and statistical analysis.
Results. We display how industrial sectors develop over time by type of economic activities. The article provides the rationale for structural rearrangements and further innovation-driven development of the industries. We display that the Russian industries technologically depend om imported production technologies. We substantiate the renewal of assets and technologies at industrial enterprises, and retain and develop human capital.
Conclusions and Relevance. Primarily, the Russian economy should be digitalized as a source of the long-term economic growth. Notably, industrial enterprises should replace their linear production method with that of the circular economy and implement resource-saving innovative technologies. The State evidently acts as the leading driver of technological retrofitting of the industrial sector. If the State holds the reasonable and appropriate industrial policy at the federal and regional levels and configure its tools to ensure the modern approach to developing the industries in a competitive fashion, the industrial complex will successfully transform into the innovative economy.
Subject. This article examines the factors that determine the level of human capital in the regions of Russia.
Objectives. The article aims to analyze the differentiation of the regions of Russia by level of human capital development.
Methods. For the study, we used the methods of horizontal statistical analysis, nonlinear regression modeling, and spatial econometrics based on Moran's I measure.
Results. The article confirms the opinion of some authors about the significant differentiation of the regions of Russia in terms of the level of human capital development and reveals a positive nonlinear relationship between the indicators of the gross regional product and the level of human capital of the region.
Conclusions. Improving the quality of human capital in the region has a direct strong impact on the level of its economic development. A nonlinear form of the simulated dependence shows that there will come a time of marginal return on the use of human capital.
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