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Economic-Mathematical Model of the Structure of Nutrition of Population in the Region

Author

Listed:
  • Alina R. Battalova*

    (Kazan Federal University, Institute of Management, Economic and Finance, Russia)

  • Nadezhda A. Opokina

    (Kazan Federal University, Institute of Mathematics and Mechanics named after N.I. Lobachevsky, Candidate of Physical and Mathematical Sciences, Russia)

Abstract

The problem of food security has traditionally been at the centre of attention of domestic and foreign economic science and practice. It was connected with the challenges of world development and the growth of global contradictions. One of the most important areas of study of food security is the modelling of this socio-economic process. When making management decisions, not only expert, but also mathematical methods are used. The most common form of mathematical methods is economic and mathematical modelling. It is generally accepted, that mathematical model is a representation of certain processes, which occur in a real object, and are described using mathematical theorems, formulas and symbols. The essence of economic and mathematical modelling consists in the description of socio-economic systems and processes, in the form of economic and mathematical models. Based on the linear programming methods, the economic-mathematical model of food security has been developed in this paper, taking into account the specifics of the region, gender of the subject, his type of activity, lifestyle and age characteristics. This model helps to determine the optimal nutrition structure, which is a determining factor of food security. Cost minimization is the objective function in this model. Developed model of the structure of nutrition of population in the region is considered on the example of the Republic of Tatarstan of the Russian Federation.

Suggested Citation

  • Alina R. Battalova* & Nadezhda A. Opokina, 2018. "Economic-Mathematical Model of the Structure of Nutrition of Population in the Region," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 275-280:1.
    • Handle: RePEc:arp:tjssrr:2018:p:275-280
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    References listed on IDEAS

    as
    1. David G. Luenberger & Yinyu Ye, 2008. "Linear and Nonlinear Programming," International Series in Operations Research and Management Science, Springer, edition 0, number 978-0-387-74503-9, January.
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