Economic and Mathematical Analysis of Oil Crop Production
Samarets N. M., Kravets M. O.

Samarets, Nataliia M., and Kravets, Mykola O. (2018) “Economic and Mathematical Analysis of Oil Crop Production.” The Problems of Economy 4:360–370.
https://doi.org/10.32983/2222-0712-2018-4-360-370

Section: Mathematical methods and models in economy

UDC 004:311.21:338.43

Abstract:
The cultivation of oil crops and their processing are an important source of foreign currency incoming for the country and profits for agricultural producers. They are highly competitive, supply the food industry with valuable raw materials and nutritious feed for livestock. The carried out research aims at analyzing the current trends in the state of the market for oil crops in Ukraine and the contribution of the main categories of farms to it. The purpose of the article is to give a statistical assessment of the production of soybeans, sunflower and rape seeds by agricultural enterprises and households. In view of this, the corresponding economic and mathematical models are built, and the place of oil crops in the country’s export products as well as the latest technologies used in this economic sector are determined, the information of the State Statistics Service of Ukraine and the State Fiscal Service being used as empirical data. It is noted that the key function in the production of oil crops is performed by agricultural enterprises, which have more opportunities to increase their production volume. The ranking and clustering of the regions of Ukraine in terms of production of soybeans, sunflower and rape seeds demonstrates that 10 regions of Ukraine provide for the production of 61.9 % of oil crops; 8 regions — 30.7 %; 6 regions — 7.4 %. A significant role in the Ukrainian agro-industrial complex (AIC) and, in particular, in the formation of exports of oil crops is played by domestic agricultural holdings. The designed economic and mathematical models allowed to draw conclusions about the growth rate of the yield of oil crops and the coefficients of elasticity of the volumes of their production in terms of yield. The constructed trend lines and regression equations have fairly high predictive qualities, which makes it possible to take them into account when justifying alternatives of the future development of agricultural enterprises.

Keywords: agricultural enterprise, economic and mathematical modeling, coefficient of elasticity, innovation.

Fig.: 9. Tabl.: 7. Bibl.: 13.

Samarets Nataliia M. – Candidate of Sciences (Engineering), Associate Professor, Associate Professor, Department of Information Systems and Technologies, Dnipro State Agrarian and Economic University (25 Academician Serhiy Yefremov Str., Dnipro, 49027, Ukraine)
Email: samarets.n.m@dsau.dp.ua
Kravets Mykola O. – Lecturer, Department of Information Systems and Technologies, Dnipro State Agrarian and Economic University (25 Academician Serhiy Yefremov Str., Dnipro, 49027, Ukraine)
Email: kravets.m.o@dsau.dp.ua

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