BIO Web Conf.
Volume 32, 2021III International Scientific and Practical Conference “Problems and Prospects of Scientific and Innovative Support of the Agro-Industrial Complex of the Regions” 2021
|Number of page(s)||4|
|Section||Innovative development of the food and processing industry|
|Published online||13 August 2021|
Analysis of meat consumption on the market of the Kursk region
Associate professor, South-Western State University, 305004, 50 Let Oktyabrya str., 94, Kursk, Russia
2 Associate professor, M. Kozybayev North Kazakhstan University, north Kazakhstan region, Petropavlovsk, Abaya str., 9, Kazakhstan
The regional meat market is part of the all-Russian meat market and part of the agricultural and food markets. A market forecast is a scientific foresight of the prospects for the development of demand, supply and prices. Its main role is determined by the large volumes of manufacture and consumption of this group, as well as the importance of meat and meat products as the main sources of animal proteins in the human diet. The structure of meat consumption in Russia and in the Kursk region until 2020 was investigated. The consumption of basic food in thousand tons per capita per year was given, the provisions characterizing the meat market of the Kursk region were determined. The conjuncture of the meat market of the Kursk region is characterized by the ratio of supply and demand for meat and meat products, as well as by the level and ratio of prices. A market analysis of the meat market of the Kursk region was carried out, taking into account external factors (level and structure of income, national production, imports, etc.). The supply and demand curves of the meat market were obtained for the last 5 years. The interrelationship of demand for a product and its determinants is reflected by the general demand function and is presented in the form of a multiple regression model. The regressive addiction of the volume of demand was made up using the MathCADProfessional package. The solution to the system of linear equations is presented in matrix form. The vector of estimates of the regressive model was obtained and an additive function was compiled on the basis of this vector. The forecast оf the demand for meat in the Kursk region was obtained using neural networks (NN). The configured network was used for forecasting using the Neural Network Emulator softwares llike magnm, calciumesium, potassiu, zinc, copper, molybdenum, sodium and chlorine, increased.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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