Problems of Development of the Agricultural Insurance Market in Ukraine
Bibliographic record
Abstract
Insurance is an effective tool for reducing financial risks for agricultural producers. Agricultural insurance allows to ensure a stable income for producers regardless reduce the risk of financial losses in case of negative impact of natural factors. The article explores the issues of agricultural insurance in Ukraine and in foreign countries. The authors analyze various aspects of agricultural insurance, from ensuring the financial stability of farmers to supporting sustainable agricultural development. The purpose of the article is to analyze the current state of agricultural insurance in Ukraine and determine the prospects for its development, as well as to compare the experience of other countries with agricultural insurance. The main scientific results of the study are an analysis of the activities and services of Ukrainian insurance companies, a review of the state support program for agricultural insurance in Ukraine, and a comparison of foreign experience in agricultural insurance in countries such as Germany, the United States, Canada, Spain, and Poland. The article uses scientific methods of analysis, synthesis and generalization to study the theoretical and practical aspects of the problem of agricultural insurance in Ukraine and the world. An analysis of foreign experience in this area was also conducted. The article examines the concept of "agri-insurance". A detailed analysis of the activities and services of the Ukrainian insurance companies ASKA, Universalna, Persha Insurance, and UPSK is carried out, and it is concluded that agricultural products are most often insured in Ukraine, and less often machinery and animals. The foreign experience of agricultural insurance in Germany, the USA, Canada, Spain and Poland is studied, their differences are identified, and the goal is to ensure the financial stability of farmers and support sustainable agricultural development, although each country uses different mechanisms to support agricultural insurance. The program of state support for agricultural insurance, which is currently being implemented by the Ukrainian government, is considered. The draft order "On a standardized insurance product for insurance of winter grain crops with state support against agricultural insurance risks for the entire period of cultivation" is analyzed. The study identifies prospects for the development of the Ukrainian agricultural insurance market, including the development of the insurance market, expansion of insurance coverage, use of the latest technologies, and development of new insurance products. The study is original in nature, as the authors consider the issue of agricultural insurance in a comprehensive manner and draw attention to its importance for the sustainable development of agriculture. The results of the study can be applied in decision-making practice for the development of agricultural insurance in Ukraine.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".