Abstract
Purpose: The purpose of the work is to develop the scientific and methodological provision of globally oriented state management of a region for optimization of its socio-economic development.
Design/methodology/approach: The authors develop a method of determining the global orientation of state management of region’s economy, which reflects the effectiveness of managing the globalization factor in this process. The authors also use the method of building regression curve (regression analysis) for substantiating the positive influence of globally oriented state management of economies of the regions of the Volga Federal District of the Russian Federation on GDP per capita in these regions in 2018.
Findings: Approbation of the developed method by the example of regions of the Volga Federal District of the Russian Federation in 2018 showed that state management of these regions’ economy is globally oriented, but there are perspectives of increasing the effectiveness of management of the globalization factor.
Originality/value: For maximization of effectiveness of state management of socio-economic development of the regions of the Volga Federal District of the Russian Federation according to management of the globalization factor, it is recommended to increase global orientation of this management by 5.79 times. As among the indicators that are taken into account during assessment of global orientation of regions of the Volga Federal District of the Russian Federation the lowest value is observed with the indicator of economic security (dependence on import), it is recommended to pay main attention to the issues of development of import substitution.
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Tyurina, Y.G., Samorukov, A.A., Kolmykova, M.A., Seliverstova, N.I. (2020). Socio-economic Development of a Modern Region Based on Globally Oriented State Management. In: Popkova, E., Sergi, B. (eds) Artificial Intelligence: Anthropogenic Nature vs. Social Origin. ISC Conference - Volgograd 2020. Advances in Intelligent Systems and Computing, vol 1100. Springer, Cham. https://doi.org/10.1007/978-3-030-39319-9_13
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