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Willingness to pay for agricultural crop insurance in the northern EU

Author

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  • Petri Liesivaara
  • Sami Myyrä

Abstract

Purpose - – The purpose of this paper is to investigate the demand for crop insurance. Moreover, farmer willingness to pay (WTP) for crop insurance was derived. Factors affecting the demand were also examined in a country where crop insurance products are not currently available. Sensitivity analysis was conducted by studying the price-anchoring effect. Design/methodology/approach - – Data from a choice experiment (CE) were analyzed with mixed logit models and the distribution of farmer WTP for crop insurance was derived. A split sample approach with varying premium vectors was used to analyze the price-anchoring effect. Findings - – Demand was revealed for crop insurance products in Finland. The demand was higher among younger farmers and farms with more arable land. WTP for crop insurance products was very sensitive to the premium interval presented in the CE design. Research limitations/implications - – The price-anchoring effect may disrupt the market development of crop insurance products, because insurance companies may take advantage of the lack of awareness among farmers of crop insurance pricing. Practical implications - – The insurance product expected indemnity was a more important factor than the deductible in determining farmer WTP for crop insurance. Therefore, the 30 percent deductible level set for subsidized crop insurance products is not an obstacle for the development of such products in the EU. Originality/value - – The study applied a well-known method (CE) to crop insurance in a country where these products are non-existent. The split sample approach was used to examine the price-anchoring effect on crop insurance.

Suggested Citation

  • Petri Liesivaara & Sami Myyrä, 2014. "Willingness to pay for agricultural crop insurance in the northern EU," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 74(4), pages 539-554, October.
    • Handle: RePEc:eme:afrpps:v:74:y:2014:i:4:p:539-554
    DOI: 10.1108/AFR-06-2014-0018
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    Citations

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    Cited by:

    1. Ahtiainen, Heini & Pouta, Eija & Zawadzki, Wojciech & Tienhaara, Annika, 2023. "Cost vector effects in discrete choice experiments with positive status quo cost," Journal of choice modelling, Elsevier, vol. 47(C).
    2. Fabio Gaetano Santeramo, 2018. "Imperfect information and participation in insurance markets: evidence from Italy," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 78(2), pages 183-194, February.
    3. Aditya, K.S. & Kishore, Avinash & Khan, Tajuddin, 2020. "Exploring farmers’ willingness to pay for crop insurance products: A case of weather-based crop insurance in Punjab India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 33(2), December.
    4. Pengfei Liu & Lingling Hou & Dongqing Li & Shi Min & Yueying Mu, 2021. "Determinants of Livestock Insurance Demand: Experimental Evidence from Chinese Herders," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 430-451, June.
    5. K C, Anirudh & K S, Aditya & Padmaja, Subash Surendran & Kuruvila, Anil, 2022. "Paddy farmers in Kerala are willing to pay more for a modified crop insurance product," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 35(1), June.
    6. Myyrä, Sami, 2016. "Latent farmer groups in yield insurance markets and implications for policy measures," 156th Seminar, October 4, 2016, Wageningen, The Netherlands 249986, European Association of Agricultural Economists.
    7. Sibiko, Kenneth W. & Veettil, Prakashan C. & Qaim, Matin, 2016. "Small Farmers’ Preferences for Weather Index Insurance: Insights from Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246399, African Association of Agricultural Economists (AAAE).
    8. Agudo-Domínguez, Alberto & Pérez-Blanco, C. Dionisio & Gil-García, Laura & Ortega, José Antonio & Dasgupta, Shouro, 2022. "Climate-sensitive hydrological drought insurance for irrigated agriculture under deep uncertainty. Insightful results from the Cega River Basin in Spain," Agricultural Water Management, Elsevier, vol. 274(C).
    9. Apurba Shee & Calum G. Turvey & Ana Marr, 2021. "Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 244-267, February.
    10. Nordmeyer, Eike Florenz & Danne, Michael & Mußhoff, Oliver, 2022. "Farmers' Preferences for Satellite-based and Precipitation-based Index Insurance: Insights from Germany," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329606, German Association of Agricultural Economists (GEWISOLA).
    11. Mbonane, Nobuhle Duduzile, 2018. "An analysis of farmers’ preferences for crop insurance: a case of maize farmers in Swaziland," Research Theses 334771, Collaborative Masters Program in Agricultural and Applied Economics.
    12. K.S. , A. & Khan, T. & Kishore, A., 2018. "Willingness to pay for Weather Based Crop Insurance in Punjab," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277516, International Association of Agricultural Economists.
    13. Gómez-Limón, José A. & Granado-Díaz, Rubén, 2023. "Assessing the demand for hydrological drought insurance in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 276(C).
    14. Nordmeyer, Eike Florenz, 2023. "German farmers' perceived usefulness of satellite-based index insurance - Insights from a transtheoretical model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334557, Agricultural Economics Society - AES.

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