Main trends of government regulation of sectoral digitalization

Andrei Vladimirovich Glotko (), Aleksandra Grigorievna Polyakova, Aleksandra Grigorievna Polyakova, Mariya Yurievna Kuznetsova, Kseniya E. Kovalenko, Rustem Adamovich Shichiyakh () and Margarita V. Melnik
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Andrei Vladimirovich Glotko: Gorno-Altaisk State University, Russian Federation
Aleksandra Grigorievna Polyakova: Plekhanov Russian University of Economics, Russian Federation
Aleksandra Grigorievna Polyakova: Tyumen Industrial University, Russian Federation
Mariya Yurievna Kuznetsova: I.M. Sechenov First Moscow State Medical University, Russian Federation
Kseniya E. Kovalenko: Altai State University, Russian Federation
Rustem Adamovich Shichiyakh: Kuban State Agrarian University, Russian Federation
Margarita V. Melnik: Financial University under the Government of the Russian Federation, Russian Federation

Entrepreneurship and Sustainability Issues, 2020, vol. 7, issue 3, 2181-2195

Abstract: This paper examines the principal trends of the government regulation of the milk-producing industry. It focuses on the rationale of those trends for improving the government regulation of dairy industry parameters and the development of effective methods for their implementation in the context of transformation into the digital economy. The study explores theoretical positions, approaches, and principles of the government regulation of digitalization of the dairy industry. It also identifies the essence and forms of this regulation. The researchers developed an economic and mathematical model of the relationship between the dairy industry parameters through a multi-level chain of indirect parameter relationship. The researchers also worked out the methodological foundations for modeling the dairy industry using digital technologies. A reverse forecasting technique was developed to estimate the necessary volume of the government support required to achieve dairy industry target indicators at any level of regulation. The model was tested with various scenarios for forecasting the results of the government regulation of the dairy industry in order to achieve the target criteria.

Keywords: digital economy; government regulation efficiency; digital models; forecasting technique (search for similar items in EconPapers)
JEL-codes: Q16 Q18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:ssi:jouesi:v:7:y:2020:i:3:p:2181-2195

DOI: 10.9770/jesi.2020.7.3(48)

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