Tools for studying the digital development rates of economic systems at country and region level

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Abstract

National economy digitalization is a powerful economic growth engine and one of the key areas for developing and maintaining the competitiveness of the state. Digital economy potential lies in accelerating the pace of economic development of enterprises, industries, regions and countries, and in improving in living standards. Under the conditions of digitalization, a tool for assessing the pace of economic system development at the country, region, industry and enterprise level becomes a source of competitive advantages. Therefore, the relevance of the study is evident. The purpose of the study is to develop tools for studying digital development rates at country and region level. The database of the study was represented by the proceeding of well-known foreign and Russian scientists and statistical data on the main indices of the US and Chinese stock markets. The methodological base was represented by the ISPI (Information System Portfolio Investor) digital model. The effectiveness of the obtained results was verified using the PRM (Profitability-Risk model) tool. The result of the study was an analysis of digital development rates at the country level by the case of the United States and China. The analysis was based on the calculation of the main parameters of the portfolio theory: expected return, risk level, return-to-risk ratio. Scatterplots were constructed for the main US and Chinese stock market indices based on the fitted data. They show the mutual distribution of groups of main indices and allow to determine the most promising areas for investment, including digital development. The findings confirm the possibility of using the proposed tools to determine the most attractive sectors for investment in the world stock markets and countries, and/or countries and regions that need investment for their development, including digital one. The introduction of the proposed tools into practice at the enterprise, industry, region and country level will contribute to the further development of the digitalization in all aspects of society at the enterprise, industry, region and country level.

About the authors

Nina M. Baranova

RUDN University

Author for correspondence.
Email: baranova_nm@pfur.ru
ORCID iD: 0000-0002-7201-9435

PhD in Pedagogical Science, Associate Professor, Economic and Mathematical Modeling Department

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Sergey N. Larin

Central Economics and Mathematics Institute of Russian Academy of Science (CEMI RAS)

Email: larinsn@cemi.rssi.ru
ORCID iD: 0000-0001-5296-5865

Candidate of Technical Sciences, Leading Researcher at the Laboratory of Simulation Modeling of the Interaction of Economic Objects

47 Nakhimovsky prospect, Moscow, 117418, Russian Federation

Olga Yu. Basharina

Ural State University of Economics; Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences

Email: basharinaolga@mail.ru
ORCID iD: 0000-0002-7151-782X

Candidate of Technical Sciences, Associate Professor of the Department of Business Informatics, Ural State University of Economics. Researcher, Laboratory of Parallel and Distributed Computing Systems, Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of the Russian Academy of Sciences

62/45 8 March St / Narodnaya Volya St, Yekaterinburg, 620144, Russian Federation; 134 Lermontova St, Irkutsk, 664033, Russian Federation

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Copyright (c) 2023 Baranova N.M., Larin S.N., Basharina O.Y.

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