Перегляд за Автор "Seheda, S."

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Financial support and forecasting of food production using economic description modeling methods
(FINTECHALLIANCE LLC, 2021) Rumyk, I.; Laptev, S.; Seheda, S.; Akimova, L.; Akimov, O.; Karpa, V.; Румик, Ігор Іванович; Лаптєв, Сергій Михайлович
The article considers the financial programs used by the state to support food production based on the use of methods of economic descriptive modeling. It is established that the interpretation of the essence and strategy of financing in practice has quite different approaches. It has been proven that the formation of an effective system of financing food production involves the relationship and effective redistribution between different sources of financial resources. It is substantiated that agriculture has all the prerequisites for productivity growth provided that investment in the Ukrainian agricultural sector increases and effective budget financing. In this regard, the features of food production based on the use of descriptive modeling capabilities using the software package Statgraphics XVII Centurion. Because of the analysis, it is established that the main parametric criterion, which depends on the level of food production in the country as a whole and individual regions, determines the indicator of agricultural production, quantitative parameters of which are taken as a basis for calculating self-sufficiency, import coverage, calories, consumption, profitability and others. Estimation of this indicator by means of modeling allowed to make the forecast of dynamics of change of its volumes for the next twelve time periods for the purpose of preliminary definition of level of food production. For this purpose, the economic and mathematical tools of estimation of forecast dynamics of change of volumes of agricultural production for the future periods are used. Modeling of the indicator of agricultural production per person per year was carried out by research on the normality of distribution using Kolmogorov Smirnov, Anderson - Darling compliance tests and a modified Kolmogorov - Smirnov test. According to the results of comparative analysis of seventeen different models and five compliance tests, it was found that most of the statistical tests are quadratic model, based on which the projected volumes of agricultural production per person per year and calculated for each forecast year (period) with a reliability of 95% lower and upper limits of the studied indicator. It is established that by 2030 in Ukraine with a high probability the growth trend of agricultural production will continue, and at a high rate. The article outlines the benefits of using economic modeling methods in the study of a particular problem