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Factors differentiating the level of crop insurance at Polish farms

Author

Listed:
  • Adam Wąs
  • Pawel Kobus

Abstract

Purpose - The purpose of this paper is to identify the factors that determine demand for crop insurance in Poland. Design/methodology/approach - To examine the determinants of decisions regarding crop insurance, the authors used logistic regression. The base source of data for the analysis was the 2013 FADN sample. The scale of yield losses, the indemnities received and the Arrow-Pratt risk aversion coefficient were examined in a representative sample of farms in consecutive years in the period 2004-2013. Findings - Losses are the major determinants of crop insurance uptake. Additionally, it was observed that the economic determinants are in line with the expected utility theory, while contrary to expectations, farmer’s characteristics such as education level, age or even risk aversion did not prove to have any influence on crop insurance uptake. Research limitations/implications - The FADN sample is representative as regards the type of farming, economic size of farm and location of the farm. Every farm in the sample represents a specific number of similar farms in the population. However, it must be emphasised that the representativeness of the sample with respect to other determinants, e.g., yield losses in previous years, using crop insurance or the farmers’ age and education has not been verified due to lack of data characterizing the general population with regard to these factors. Practical implications - It could be argued that the system of crop insurance subsidies should be targeted to encourage the farmers who previously had not used insurance to join the system. Originality/value - The paper presents the analysis of crop insurance uptake in a country with a strongly polarised agriculture. The Polish farm sector consists of 1.4 million farms with sizes ranging from 1 ha to over a few thousands hectares. The research is based on a data set of 5,202 farms which contains data from ten years (2004-2013). The novelty of the methodological approach is that it includes information on the number of farms represented by every farm in the FADN sample in the Horvitz-Thompson estimator in order to achieve results which are valid for the general population of Polish farms.

Suggested Citation

  • Adam Wąs & Pawel Kobus, 2018. "Factors differentiating the level of crop insurance at Polish farms," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 78(2), pages 209-222, March.
    • Handle: RePEc:eme:afrpps:afr-06-2017-0054
    DOI: 10.1108/AFR-06-2017-0054
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    Citations

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    Cited by:

    1. Vigani, Mauro & Khafagy, Amr & Berry, Robert, 2024. "Public spending for agricultural risk management: Land use, regional welfare and intra-subsidy substitution," Food Policy, Elsevier, vol. 123(C).
    2. Giampietri, Elisa & Yu, Xiaohua & Trestini, Samuele, 2020. "The role of trust and perceived barriers on farmer’s intention to adopt risk management tools," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(1), April.
    3. Ruggiero Rippo & Simone Cerroni, 2023. "Farmers' participation in the Income Stabilisation Tool: Evidence from the apple sector in Italy," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 273-294, February.
    4. Fabio G., Santeramo & Ilaria, Russo & Emilia, Lamonaca, 2022. "Italian subsidised crop insurance: what the role of policy changes," MPRA Paper 115299, University Library of Munich, Germany.
    5. Coletta, Attilio & Giampietri, Elisa & Santeramo, Fabio Gaetano & Severini, Simone & Trestini, Samuele, 2018. "A preliminary test on risk and ambiguity attitudes, and time preferences in decisions under uncertainty: towards a better explanation of participation in crop insurance schemes," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 7(3), December.
    6. Donatella Porrini & Giulio Fusco & Pier Paolo Miglietta, 2019. "Post-Adversities Recovery and Profitability: The Case of Italian Farmers," IJERPH, MDPI, vol. 16(17), pages 1-12, September.
    7. Dragos, Cristian Mihai & Dragos, Simona Laura & Mare, Codruta & Muresan, Gabriela Mihaela & Purcel, Alexandra-Anca, 2023. "Does risk assessment and specific knowledge impact crop insurance underwriting? Evidence from Romanian farmers," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 343-358.
    8. Trestini, Samuel & Giampietri, Elisa & Smiglak-Krajewska, Magdalena, 2018. "Farmer behaviour towards the agricultural risk management tools provided by the CAP: a comparison between Italy and Poland," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271978, European Association of Agricultural Economists.

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