Abstract
The paper focuses on the analysis of food security in the economic security system of the state and regions of Russia. The analysis of the views on food security among the Russian and foreign scholars allowed to develop a framework for assessing food security at the regional level of the economy. The methods of cognitive economic and mathematical modeling and the empirical model of statistical evaluation are the effective methods of the analysis of food security. The food security of the Volgograd region in 2017 is analyzed. The assessment is carried out using an integral indicator—the food security index (Ifs). In accordance with the established threshold values of the food security index (Ifs), it was determined that the food security of the region was at an acceptable level in 2017. The inconsistency of the food security index with the optimal value was associated with a high degree of differentiation of household incomes and a non-optimal structure of the consumer basket, in which a significant part of the expenditure is spent on food. The results of the analysis revealed the obstacles for ensuring the optimal food security level. The theoretical and methodological significance of the study and the proposed model of statistical assessment is to supplement the methodological tools and models of food safety analysis.
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Acknowledgements
This paper was prepared with the financial support of the Russian Federal Property Fund for the project 19-07-01132 “Creating an intelligent system for assessing and predicting food security in the context of import substitution based on a fuzzy cognitive approach.”
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Antamoshkina, E.N., Rogachev, A.F. (2020). The Model of Statistical Assessment of Food Security. In: Bogoviz, A. (eds) Complex Systems: Innovation and Sustainability in the Digital Age. Studies in Systems, Decision and Control, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-030-44703-8_51
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DOI: https://doi.org/10.1007/978-3-030-44703-8_51
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