Uman NUH | today: 10/19/2024
| Author(s) |
Bechko P.K., Candidate of Economics, , Uman National University of Horticulture, Ukraine Бондаренко Н. В., , , Vlasyuk S.A., , , Uman National University of Horticulture Ролінський О. В., , , Нагорний В. І., , , |
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| Category | Economics | ||
| year | 2022 | issue | Issue number 101. Part 2 |
| pages | 219-233 | index UDK | 368:338.436 | DOI | 10.32782/2415-8240-2022-101-2-219-233 (Link) |
| Abstract | The paper focuses on the necessity of formation and anticipation of the credit resources market. A comprehensive system of agricultural lending has been set up, created with the participation of the government, which provides the most important mechanism for state regulation, development and improvement of elements of the national agrarian policy. It has been determined that the efficient operation of agricultural enterprises is largely dependent on the availability of financial resources. It was found that the proper functioning of agrarian enterprises indicates the inappropriateness of preference given to the sole source of funding for operating and investment activities. It was stated that the optimal balance of own funds and bank loans is a potential solution to the problem of financial support for agrarian businesses. It is determined that globalization of the economy complicates the relationship between the national economy and the world economy; it has a direct impact on the implementation of credit policy. At the same time, the importance of the mechanism of interaction of credit policy and competitiveness of agrarian businesses increases dramatically. Indicators of creditworthiness of agrarian business entities and a group of enterprises of Uman district of the Cherkasy region by the level of profitability in the average for 2017–2021 years have been characterized. At the same time, it was decided to apply the most promising direction of banking analysis when choosing a potential borrower – economic and mathematical modeling of the enterprise’s production activity. It was also revealed that the adequacy of model construction is determined by the specificity of the functioning of agricultural economic entities and the specificity of financial flow modeling. When assessing the creditworthiness of agrarian business entities in national practice, the use of regression and discriminant models, as well as scientific forecasting methods, is prescribed. The indicators of creditworthiness of agrarian businesses of the Cherkasy region by the area of land in use from 1000.1 to 2000.0 hectares have been analyzed and the impact of credits on the efficiency of agrarian businesses of the Uman district has been determined on average for 2017–2021 years. The results of the regression analysis of creditworthiness of agrarian business entities have been determined, which indicates not only a decrease in their financial condition, but also an inefficient use of circulating assets formed by both own and attracted (bank loans) sources of financing. It has been determined that the economic-mathematical model of assessment of creditworthiness of subjects of agrarian business allows not only to determine and evaluate trends in the borrower’s production activity, to predict its result for the future, taking into account the issued credit, but also promotes the efficiency of agricultural production and the targeted and effective use of its own funds and bank loans for operating and investment activities. | ||
| Key words | economic prognozation, credit market, creditworthiness, credit capacity | ||