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Financial and economic evaluation of agricultural insurance market in Ukraine

Author

Listed:
  • Ivashkiv, Iryna
  • Korol, Svitlana
  • Lyashenko, Oksana
  • Sadovska, Iryna
  • Nadvynychnyy, Sergiy

Abstract

Purpose. The purpose of the article is to diagnose the financial and economic conditions of the agricultural insurance market in the context of transformational changes, which allows identifying the dependences of variables among the indicators of insurance in Ukraine. Methodology / approach. The final goal of diagnosis is to build models that describe the variables and allow assessing the impact of some insurance indicators on the number of insurance contracts, which allows conducting regression of projected and observed values among insurance indicators during 2005–2019. The direct selection was also applied, which allowed starting without variables in this model by checking the addition of each variable with the use of the selected criterion of conformity of the model; as well as the repeatedness of this process until the best state of the model. Results. The modelling results allowed us to determine that among the insurance indicators in the agricultural insurance market, the dependent variable is the indicator of the number of insurance contracts. As a result of the regression, it was stated that for the dependent variable the USD / UAH exchange rate and the subsidy, mln UAH, have a significant impact on the number of insurance contracts. Less importance had the area, thousand hectares, and the remaining variables did not determine such an impact. The obtained regression value of the predicted and observed value stated an adequate model, as the slope of the regression line is 45°. Originality / scientific novelty. The novelty is improvement of the diagnostic algorithm for assessing trends in the agricultural insurance market in terms of transformational changes, taking into account the regression which made it possible to establish the dependences of variables among insurance indicators; validity of the use of direct selection with repeatedness of which the best possible state of the model is achieved. Practical value / implications. The comparison of the studied insurance indicators in the agricultural insurance market allowed determining the relationship between variables with the separation of their weight, which affect insurance contracts, which confirms the adequacy of the application of diagnostics which will be used during the evaluation of insurance contracts at enterprises of the agricultural insurance market.

Suggested Citation

  • Ivashkiv, Iryna & Korol, Svitlana & Lyashenko, Oksana & Sadovska, Iryna & Nadvynychnyy, Sergiy, 2021. "Financial and economic evaluation of agricultural insurance market in Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 7(3), September.
    • Handle: RePEc:ags:areint:314163
    DOI: 10.22004/ag.econ.314163
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    References listed on IDEAS

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    1. King, Michael & Singh, Anuj Pratap, 2020. "Understanding farmers’ valuation of agricultural insurance: Evidence from Vietnam," Food Policy, Elsevier, vol. 94(C).
    2. Fahad, Shah & Jing, Wang, 2018. "Evaluation of Pakistani farmers’ willingness to pay for crop insurance using contingent valuation method: The case of Khyber Pakhtunkhwa province," Land Use Policy, Elsevier, vol. 72(C), pages 570-577.
    3. Fahad, Shah & Wang, Jing & Hu, Guangyin & Wang, Hui & Yang, Xiaoying & Shah, Ashfaq Ahmad & Huong, Nguyen Thi Lan & Bilal, Arshad, 2018. "Empirical analysis of factors influencing farmers crop insurance decisions in Pakistan: Evidence from Khyber Pakhtunkhwa province," Land Use Policy, Elsevier, vol. 75(C), pages 459-467.
    4. H. Holly Wang & Jesse B. Tack & Keith H. Coble, 2020. "Frontier studies in agricultural insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 1-4, January.
    5. Ephias Makaudze, 2018. "Malawi's Experience with Weather Index Insurance as Agricultural Risk Mitigation Strategy Against Extreme Drought Events 1," Chapters, in: Philip John Sallis (ed.), Extreme Weather, IntechOpen.
    6. Dercon, Stefan & Hill, Ruth Vargas & Clarke, Daniel & Outes-Leon, Ingo & Seyoum Taffesse, Alemayehu, 2014. "Offering rainfall insurance to informal insurance groups: Evidence from a field experiment in Ethiopia," Journal of Development Economics, Elsevier, vol. 106(C), pages 132-143.
    7. Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
    8. Isaboke, H. N. & Zhang, Q. & Nyarindo, W. N., 2016. "The effect of weather index based micro-insurance on food security status of smallholders," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(3), September.
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