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Problems of Development of the Agricultural Insurance Market in Ukraine

2023· article· en· W4385189088 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueПроблеми сучасних трансформацій Серія економіка та управління · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture Market Analysis Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianAgricultureBusinessIncome protection insuranceInsurance lawAgricultural economicsEconomic growthGeneral insuranceInsurance policyFinanceEconomicsGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.006
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.190
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it