Economic and Mathematical Modeling of Food Security of the Subjects of the Russian Federation

Abstract

The aim of the study is to use the methods of economic and mathematical modeling to assess food security. The article presents a methodological approach to the food security assessment, which enables one to determine a comprehensive indicator, i.e. food security index (I fs ). According to statistical data on the regions of the Southern Federal District, food security was assessed, it was found that in 2017 food security index was equal to 8 points, which corresponded to permissible level. The deviation from optimal level was due to a significant degree of income differentiation in the region and nonoptimal structure of the consumer basket. Theoretical relevance of developing a methodology and economic-mathematical model for assessing food security based on calculation of a complex multifactorial indicator is associated with the need to develop existing methodological approaches to assessing food security at macroeconomic level, with the analysis of systematic groups of factors affecting food security, as well as relevance of monitoring and evaluation of food security. The practical relevance of the presented approach to assessment of food security involves the possibility of using data obtained in the planning and development of agricultural policy, in order to improve its socioeconomic and financial efficiency in the field of food security in the regions of Russia.

The Impact of Socio-Economic Factors on the Regional Economic Security Indicator

“…The authors use the comparison method to assess developing human capital as a factor in ensuring economic security (German and Bobrovskaya, 2019) and to diagnose the state of the socio-economic system in terms of economic security (Fraymovich et al, 2021). Authors (Antamoshkina and Rogachev, 2020) use the expert method of analyzing hierarchies to assess the food security of the Russian Federation and its regions. Authors (Smirnova and Listopad, 2020) use the correlation method to assess the relationship between economic security indicators such as physical capital, investment in fixed assets, share manufacturing industry in the economy, life expectancy, R&D expenses, income level, inflation, crime rate, external and internal debt.…”