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Revisiting the demand for agricultural insurance: the case of Spain

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  • Alberto Garrido
  • David Zilberman

Abstract

This paper seeks to characterize the factors that explain crop insurance participation. A stylized model of insurance demand, with a simple setup of one crop. CARA preferences, yield insurance, and PDfs for revenue and yeild with moment-generating functions, provides a number of hypotheses about the incentives to contract crop insurance. In the empirical model, we use the actual insurance records of 41,660 Spanish farmers and 12 years of data to estimate six probit models for the insuring versus non-insuring choice, based on individual loss ratios and the dispersion of indemnities, together with idiosyncratic and geographical variables. Results suggest that adverse selection is not a major source of inefficiency in the Spanish insurance system, nor is it the primary motivation to contract crop insurance. Premium subsidies are the leading factor that increases the probability of using insurance. Conclusions are applicable to very diverse farms in Spain.

Suggested Citation

  • Alberto Garrido & David Zilberman, 2008. "Revisiting the demand for agricultural insurance: the case of Spain," Agricultural Finance Review, Emerald Group Publishing, vol. 68(1), pages 43-66, May.
  • Handle: RePEc:eme:afrpps:v:68:y:2008:i:1:p:43-66
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    References listed on IDEAS

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    1. John C. Quiggin & Giannis Karagiannis & J. Stanton, 1993. "Crop Insurance And Crop Production: An Empirical Study Of Moral Hazard And Adverse Selection," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 37(2), pages 95-113, August.
    2. Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1996. "Modeling Farm-Level Crop Insurance Demand with Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 439-447.
    3. Bruce A. Babcock & David A. Hennessy, 1996. "Input Demand under Yield and Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 416-427.
    4. Barnett, Barry J., 2004. "Agricultural Index Insurance Products: Strengths And Limitations," Agricultural Outlook Forum 2004 32971, United States Department of Agriculture, Agricultural Outlook Forum.
    5. Vincent H. Smith & Barry K. Goodwin, 1996. "Crop Insurance, Moral Hazard, and Agricultural Chemical Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 428-438.
    6. Moschini, Giancarlo & Hennessy, David A., 2001. "Uncertainty, risk aversion, and risk management for agricultural producers," Handbook of Agricultural Economics,in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 2, pages 88-153 Elsevier.
    7. Goodwin, Barry K., 1994. "Premium Rate Determination In The Federal Crop Insurance Program: What Do Averages Have To Say About Risk?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(02), December.
    8. Nimon, R. Wesley & Mishra, Ashok K., 2001. "Revenue Insurance and Chemical Input Use Rates," 2001 Annual meeting, August 5-8, Chicago, IL 20669, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Robert Finger & Niklaus Lehmann, 2012. "The influence of direct payments on farmers’ hail insurance decisions," Agricultural Economics, International Association of Agricultural Economists, vol. 43(3), pages 343-354, May.
    2. Robert Aidoo & James Osei Mensah & Prosper Wie & Dadson Awunyo-vitor, 2014. "Prospects of Crop Insurance as a Risk Management Tool among Arable Crop Farmers in Ghana," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(3), pages 341-354, March.
    3. Liesivaara, Petri & Myyrä, Sami, 2017. "The demand for public–private crop insurance and government disaster relief," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 19-34.
    4. F. G. Santeramo & B. K. Goodwin & F. Adinolfi & F. Capitanio, 2016. "Farmer Participation, Entry and Exit Decisions in the Italian Crop Insurance Programme," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 639-657, September.
    5. Soliwoda, Michal, 2016. "Crop and livestock insurance in Poland reconsidered: challenges from the perspective of agricultural policy," 156th Seminar, October 4, 2016, Wagenigen, The Netherlands 249991, European Association of Agricultural Economists.
    6. Enjolras, Geoffroy & Capitanio, Fabian & Adinolfi, Felice, 2012. "The Demand for Crop Insurance: Combined Approaches for France and Italy," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), January.
    7. Xiaojuan Yang & Yuan Liu & Wei Bai & Buchun Liu, 2015. "Evaluation of the crop insurance management for soybean risk of natural disasters in Jilin Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 587-599, March.
    8. Liu, Xianglin & Tang, Yingmei & Miranda, Mario J., 2015. "Does Past Experience in Natural Disasters Affect Willingness-to-Pay for Weather Index Insurance? Evidence from China," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205374, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    9. Enjolras, Geoffroy & Sentis, P., 2008. "The Main Determinants of Insurance Purchase: An Empirical Study on Crop Insurance Policies in France," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44395, European Association of Agricultural Economists.
    10. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    11. Dolores Rey & Alberto Garrido & Javier Calatrava, 2016. "Comparison of Different Water Supply Risk Management Tools for Irrigators: Option Contracts and Insurance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(2), pages 415-439, October.
    12. Di Falco, Salvatore & Capitanio, Fabian & Adinolfi, Felice, 2011. "Natural Vs Financial Insurance in the Management of Weather Risk Exposure in the Italian Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114325, European Association of Agricultural Economists.
    13. Ramsey, Austin Ford & Santeramo, Fabio Gaetano, 2017. "Crop Insurance in the European Union: Lessons and Caution from the United States," MPRA Paper 79164, University Library of Munich, Germany.
    14. Dimitar Nikolov & Sergio Gomez-y-Paloma & Minka Chopeva & Marianne Lefebvre, 2014. "Main Factors of the Development and Attractiveness of the Insurance Market for the Agricultural Companies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 99-121.
    15. Dimitre NIKOLOV & Minka CHOPEVA, 2016. "Assessment Of Factors Influencing Farm Insurance In Bulgaria Through Probability Statistical Methods," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 13(1), pages 3-12.
    16. Garrido, Alberto & Bielza, Maria, 2008. "Income Stabilisation in a Changing Agricultural World: Policy and Tools," 108th Seminar, February 8-9, 2008, Warsaw, Poland 48108, European Association of Agricultural Economists.

    More about this item

    Keywords

    Agricultural insurance; Economic models; Insurance demand models; Spain;

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

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