Economic and statistical assessment of milk sales in the Central Black Earth region

Автор: Kitaev Yu.A.

Журнал: Вестник аграрной науки @vestnikogau

Рубрика: Экономические науки

Статья в выпуске: 6 (87), 2020 года.

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Milk plays a great role in the human diet and is a biologically complete food product. A feature of this type of product is that the milk produced by agricultural producers is not sold in full, but is partially used for feeding calves, selling to the population and other on-farm expenses. Therefore, along with the volume of milk production, an analysis of the volume of its sales should be carried out. The aim of the study is the economic and statistical assessment of the volume of milk sales in the Central Black Earth Region. The study was carried out on the basis of publicly available data provided by the Federal State Statistics Service. The methodological basis for the study is the methods of economic-statistical and regression analyses. The analysis made it possible to establish that for the period 2008-2019. there is a steady upward trend in milk sales in the Central Black Earth Region. Among the subjects of the Central Black Earth Region, the maximum volume of milk sales growth is noted in the Voronezh Region - 2.7 times. Also, during the study period, there is an increase in the quality of milk in the Central Black Earth Region, as evidenced by an increase in the share of premium milk from 30.7% to 80.1%. The maximum share of premium milk is noted in 2019 in the Belgorod Region - 92.3%. The calculation of the dynamics of the level of marketability of milk in the Central Black Earth Region showed that over 12 years the level of marketability increased by 26.0 percentage points. and amounted to 67.6%. This allows us to conclude that there is a reduction in on-farm milk consumption due to regional experience in organizing milk production in large agro-industrial enterprises of the holding type.

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Milk sales, central black earth region, dynamics, tendency, milk grade, sales structure, marketability level

Короткий адрес: https://sciup.org/147228890

IDR: 147228890   |   DOI: 10.17238/issn2587-666X.2020.6.100

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