FORECAST OF ECONOMIC EFFICIENCY OF MILK PRODUCTION IN THE CENTRAL BLACK EARTH REGION

Main Article Content

Юрий Александрович Китаёв http://orcid.org/0000-0001-5339-7425 Константин Семенович Терновых http://orcid.org/0000-0002-4990-6861

Abstract

The purpose of the study is to substantiate the forecast of the economic efficiency of milk production in the Central Black Earth Region until 2033. The forecast is based on the data presented in the UniSIS, by extrapolating the revealed patterns for the period of the forecasting horizon. The article presents the results of research on forecasting the economic efficiency of milk production in the Central Black Earth Region. The forecast of the level of demand, based on actual data on the level of per capita milk consumption in the subjects of the Central Black Earth Region, showed that in the Belgorod region in the period 2022-2033. demand for milk is expected to grow, in other regions a negative downward trend is observed. According to the forecast in the macroregion by the end of the forecast period, demand will amount to 1,616.5 thousand tons, which is 45.0 thousand tons less than its actual level in 2019. The forecast of milk import and export to the Central Black Region allows us to consider the region as a donor, since the forecast level of export exceeds import by more than 2.8 times. In all constituent entities, an increase in the unit production costs for milk production is forecasted. Their maximum level is noted by 2033 in the Tambov region - 30.5 thousand rubles. for 1 ton. For the same period, a forecast of growth in prices for raw milk was calculated, which allows us to assert that the maximum price level by 2033 will be reached in the Tambov region - 40.0 thousand rubles. per 1 ton, and the minimum is 30.1 thousand rubles. for 1 ton - in the Belgorod and Kursk regions. Taking into account the predicted dynamics of price growth, it can be argued that on average in the macroregion by 2033 the profitability in milk production will be 20.0%, and among the subjects of the Central Black Earth Region the maximum level - 31.2% - will be achieved in the Tambov region.

Article Details

Section
Статьи

References

1. Bagrinovsky, K.A. & Rozin, B.B. (1965) Opyt modelirovaniya i programmirovaniya planovo-ehkonomicheskikh zadach [Experience in modeling and programming economic planning tasks]. Novosibirsk: NSU. 306 p.
2. Vvezeno sel'skokhozyajstvennykh produktov na territoriyu sub"ekta Rossijskoj Federacii ot sel'skokhozyajstvennykh organizacij drugikh sub"ektov Rossijskoj Federacii [Imported agricultural products into the territory of a constituent entity of the Russian Federation from agricultural organizations of other constituent entities of the Russian Federation] (EMISS) [Electronic resource]. - Access mode: https://fedstat.ru/indicator/40546 (date of access 09/21/2021).
3. Vyvezeno sel'skokhozyajstvennykh produktov sel'skokhozyajstvennymi organizaciyami za predely sub"ekta Rossijskoj Federacii (vklyuchaya ehksport) [Exported agricultural products by agricultural organizations outside the constituent entity of the Russian Federation (including export)] (EMISS) [Electronic resource]. - Access mode: https://fedstat.ru/indicator/40547 (date of access 09/21/2021).
4. Kitaev, Yu.A. (2020) Tendencii razvitiya molochnogo skotovodstva v Rossii [Trends in the development of dairy cattle breeding in Russia] // Bulletin of the Voronezh State Agrarian University. Vol. 15. No. 3 pp. 182-187.
5. Kotova, T.N.& Khachaturian, R.E. (2014) Metody prognoznoj ehkstrapolyacii v tekhnicheskom servise [Methods of predictive extrapolation in technical service] // Achievements of university science. No. 8. pp. 242-249.
6. Lazhauninkas, Yu.V. & Karmazin, V.Yu. (2021) Postroenie i analiz srednesrochnykh prognozov na osnove ehkstrapolyacii linejnym trendom [Construction and analysis of medium-term forecasts based on extrapolation by a linear trend] // Economic and mathematical methods for analyzing the activities of agricultural enterprises. Materials of the V International Scientific and Practical Conference. Saratov: TseSain, pp. 158-162.
7. Naryshev, G.A. & Parkhomenko, N.V. (2000) Modificirovannyj metod ehkstrapolyacionnogo prognozirovaniya [Modified method of extrapolation forecasting] // Bulletin of GGTU im. ON. Sukhoi. No. 1 (1). pp. 99-105.
8. Nikulina, E.V. (2014) Ispol'zovanie metodov ehkonomicheskogo modelirovaniya i ehkstrapolyacii dlya issledovaniya byudzhetno-nalogovoj bezopasnosti regiona [Using methods of economic modeling and extrapolation for the study of budgetary and tax security of the region] // Economy. Computer science. No. 1-1 (172). pp. 12-15.
9. Potreblenie osnovnykh produktov pitaniya ( v raschete na dushu naseleniya) [Consumption of basic food products (per capita)] (EMISS) [Electronic resource]. - Access mode: https://fedstat.ru/indicator/31346 (date of access 09/21/2021).
10. Rozin, B.B., Marshak, V.D. & Suvorov B.P. (1988) Ehkonomiko-matematicheskie metody v planirovanii mnogootraslevykh kompleksov i otraslej [Economic and mathematical methods in the planning of diversified complexes and industries]. Novosibirsk: Science. Sib. department, 407 p.
11. Srednie ceny proizvoditelej sel'skokhozyajstvennoj produkcii, realizuemoj sel'skokhozyajstvennymi organizaciyami s 2017 g. [Average producer prices of agricultural products sold by agricultural organizations since 2017] (EMISS) [Electronic resource]. - Access mode: https://fedstat.ru/indicator/57693 (date of access 09/21/2021).
12. Shvaleva, A.V. & Altayeva, A.K. (2017) Metody ehkstrapolyacii v prognozirovanii [Extrapolation methods in forecasting] // Science and production of the Urals. No. 13. pp 106-108.
13. Bryant, C., Dudycha, D.J. & Preston R.E. (1992) Forecasting for Economic Development / // Economic Development Bulletin. vol. 9. pp. 1-30.
14. Fkirin, M. A. & Al-Turki I. (1991) Forecasting agricultural economic systems // Cybernetics and Systems. vol. 22. pp. 17-22.
15. Hewings, G. A (2005) Note on Forecasting the Economic Base // The Professional Geographer. vol. 1. pp. 315-318.
16. Hoch, J.C., Stern, A.S. & Maciejewski M.W. (2017) Linear Prediction Extrapolation // New Developments in NMR. vol. 1. pp. 49-59.