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Zarar Önleme Modeli Kullanılarak Bitkisel Verim Sigortası için Ahlaki Tehlike Analizi

Year 2025, Volume: 33 Issue: 63, 87 - 102
https://doi.org/10.17233/sosyoekonomi.2025.01.04

Abstract

Çiftçiler tarımsal üretimde en önemli rolü oynarlar ve tarımsal üretime devam edebilmeleri için kendilerini bununla ilişkili risklere karşı korumaları gerekir. Bu teminat gereksinimini karşılamak üzere tasarlanmış bir sigorta planı sunmak çok önemlidir. Tarım sigortası ürünleri arasında, ekosistemin sürdürülebilirliğini destekleyen tarımsal üretimi belirli bir seviyede tutmayı amaçladığı için bitkisel ürün verim sigortası benzersiz bir role sahiptir. Çalışma, sigortacının çiftçinin çabaları hakkında tam bilgi sahibi olmaması nedeniyle asimetrik bilgi senaryolarını ele almaktadır. Optimum kayıp önleme çabası için çözümler sunmakta ve gözlemlenebilir ve gözlemlenemeyen çabalar arasındaki boşluğu doldurmayı önermektedir. Gözlemlenebilen ve gözlemlenemeyen çabalar ile optimal sözleşmeler karşılaştırıldığında, prim indirimindeki marjinal fayda gözlemlenemeyen çabalar için ihmal edilmektedir. Bu durum, ahlaki tehlikeyi vurgulamakta ve verimsiz ürün sigortası fiyatlandırmasına yol açmaktadır. Sonuçlar beklenen fayda teorisi kullanılarak elde edilmiştir. Kesinlik eşdeğeri yaklaşımı da sonuçları sayısal ve grafiksel olarak göstermek için kullanılmıştır.

References

  • Akerlof, G.A. (1970), “The market for lemons: Quality and the market mechanism. Quarterly”, Journal Economics, 84(3), 488-500.
  • Asai, Y. & M. Okura (2011), “How Do Cost and Regulation Change Loss Control Activities and Insurers' Monitoring?”, Journal of Insurance Issues, 34(2), 172-188.
  • Berg, E. (2002), “Assessing the farm level impacts of yield and revenue insurance: an expected value-variance approach”, Contributed Paper Submitted for the Xth Congress of the European Association of Agricultural Economists (EAAE), 28-31 August 2002 Zaragoza, Spain, (August), 28-31. Zaragoza, Spain.
  • Carter, M.R. et al. (2007), “Underwriting area-based yield insurance to crowd-in credit supply and demand”, Savings and Development, 31(3), 335-362.
  • Chambers, R.G. & J. Quiggin (2002), “Optimal producer behavior in the presence of area‐yield crop insurance”, American Journal of Agricultural Economics, 84(2), 320-334.
  • Chambers, R.G. (1989), “Insurability and moral hazard in agricultural insurance markets”, American Journal of Agricultural Economics, 71(3), 604-616.
  • Coble, K.H. et al. (1997), “An expected‐indemnity approach to the measurement of moral hazard in crop insurance”, American Journal of Agricultural Economics, 79(1), 216-226.
  • Coble, K.H. et al. (2000), “Implications of crop yield and revenue insurance for producer hedging”, Journal of Agricultural and Resource Economics, 25(2), 432-452.
  • De Donder, P. & J. Hindriks (2009), “Adverse selection, moral hazard and propitious selection”, Journal of Risk and Uncertainty, 38(1), 73-86.
  • Dionne, G. & L. Eeckhoudt (1985), “Self-insurance, self-protection and increased risk aversion”, Economics Letters, 17(1-2), 39-42.
  • Du, X. et al. (2015), “Marketing contracts and crop insurance”, American Journal of Agricultural Economics, 97(5), 1360-1370.
  • Eeckhoudt, L. & C. Gollier (2005), “The impact of prudence on optimal prevention”, Economic Theory, 26(4), 989-994.
  • Ehrlich, I. & G.S. Becker (1972), “Market Insurance, Self-Insurance, and Self-Protection”, Journal of Political Economy, 80(4), 623-648.
  • Goodwin, B.K. (1993), “An empirical analysis of the demand for multiple peril crop insurance”, American Journal of Agricultural Economics, 75(2), 425-434.
  • Gunnsteinsson, S. (2020), “Experimental identification of asymmetric information: Evidence on crop insurance in the Philippines”, Journal of Development Economics, 144, 102414.
  • Holmström, B. (1979), “Moral hazard and observability”, The Bell Journal of Economics, 10(1), 74-91.
  • Ligon, E. (2003), “Optimal risk in agricultural contracts”, Agricultural Systems, 75(2-3), 265-276.
  • Liu, J.W. & M.J. Browne (2007), “First‐Best Equilibrium in Insurance Markets with Transaction Costs and Heterogeneity”, Journal of Risk and Insurance, 74(4), 739-760.
  • Luckstead, J. & S. Devadoss (2019), “Implications of commodity programs and crop insurance policies for wheat producers”, Journal of Agricultural and Applied Economics, 51(2), 267-285.
  • Mahul, O. & B.D. Wright (2003), “Designing optimal crop revenue insurance”, American Journal of Agricultural Economics, 85(3), 580-589.
  • Martin-Boyer, M. & R. Peter (2020), “Insurance fraud in a Rothschild-Stiglitz world”, Journal of Risk and Insurance, 87(1), 117-142.
  • Raviv, A. (1979), “The design of an optimal insurance policy”, The American Economic Review, 69(1), 84-96.
  • Roll, K.H. (2019), “Moral hazard: the effect of insurance on risk and efficiency”, Agricultural Economics, 50(3), 367-375.
  • Rothschild, M. & J. Stiglitz (1978), “Equilibrium in competitive insurance markets: An essay on the economics of imperfect information”, in: Uncertainty in Economics (257-280), Elsevier.
  • Seog, S.H. & J. Hong (2024), “Moral hazard in loss reduction and state-dependent utility”, Insurance: Mathematics and Economics, 115, 151-168.
  • Shen, Z. & M. Odening (2013), “Coping with systemic risk in index‐based crop insurance”, Agricultural Economics, 44(1), 1-13.
  • Sherrick, B.J. et al. (2004), “Factors influencing farmers' crop insurance decisions”, American Journal of Agricultural Economics, 86(1), 103-114.
  • Smith, V.H. & B.K. Goodwin (1996), “Crop insurance, moral hazard, and agricultural chemical use”, American Journal of Agricultural Economics, 78(2), 428-438.
  • Stiglitz, J.E. (1977), “Monopoly, non-linear pricing and imperfect information: the insurance market”, The Review of Economic Studies, 44(3), 407-430.
  • Zhang, L. (2008), “Three essays on agricultural risk and insurance”, PhD Dissertation, Department of Economics, Iowa State University.

Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model

Year 2025, Volume: 33 Issue: 63, 87 - 102
https://doi.org/10.17233/sosyoekonomi.2025.01.04

Abstract

Farmers play the most critical role in agricultural production, and to keep producing, they must safeguard themselves against the associated risks. Offering an insurance plan designed to fulfil this coverage requirement is crucial. Among agricultural insurance products, crop yield insurance has a unique role since it aims to maintain agricultural production at a specific level, which promotes ecosystem sustainability. The study addresses scenarios of asymmetric information due to the insurer's need for more complete knowledge about the farmer's efforts. It provides solutions for optimal loss prevention efforts and suggests bridging the gap between observable and unobservable efforts. Comparing optimal contracts with observable and non-observable efforts, the marginal benefit in premium reduction is omitted for non-observable efforts. This highlights moral hazard, leading to inefficient crop insurance pricing. The results are generated using the expected utility theory. The certainty equivalent approach is also used to illustrate the results numerically and graphically.

References

  • Akerlof, G.A. (1970), “The market for lemons: Quality and the market mechanism. Quarterly”, Journal Economics, 84(3), 488-500.
  • Asai, Y. & M. Okura (2011), “How Do Cost and Regulation Change Loss Control Activities and Insurers' Monitoring?”, Journal of Insurance Issues, 34(2), 172-188.
  • Berg, E. (2002), “Assessing the farm level impacts of yield and revenue insurance: an expected value-variance approach”, Contributed Paper Submitted for the Xth Congress of the European Association of Agricultural Economists (EAAE), 28-31 August 2002 Zaragoza, Spain, (August), 28-31. Zaragoza, Spain.
  • Carter, M.R. et al. (2007), “Underwriting area-based yield insurance to crowd-in credit supply and demand”, Savings and Development, 31(3), 335-362.
  • Chambers, R.G. & J. Quiggin (2002), “Optimal producer behavior in the presence of area‐yield crop insurance”, American Journal of Agricultural Economics, 84(2), 320-334.
  • Chambers, R.G. (1989), “Insurability and moral hazard in agricultural insurance markets”, American Journal of Agricultural Economics, 71(3), 604-616.
  • Coble, K.H. et al. (1997), “An expected‐indemnity approach to the measurement of moral hazard in crop insurance”, American Journal of Agricultural Economics, 79(1), 216-226.
  • Coble, K.H. et al. (2000), “Implications of crop yield and revenue insurance for producer hedging”, Journal of Agricultural and Resource Economics, 25(2), 432-452.
  • De Donder, P. & J. Hindriks (2009), “Adverse selection, moral hazard and propitious selection”, Journal of Risk and Uncertainty, 38(1), 73-86.
  • Dionne, G. & L. Eeckhoudt (1985), “Self-insurance, self-protection and increased risk aversion”, Economics Letters, 17(1-2), 39-42.
  • Du, X. et al. (2015), “Marketing contracts and crop insurance”, American Journal of Agricultural Economics, 97(5), 1360-1370.
  • Eeckhoudt, L. & C. Gollier (2005), “The impact of prudence on optimal prevention”, Economic Theory, 26(4), 989-994.
  • Ehrlich, I. & G.S. Becker (1972), “Market Insurance, Self-Insurance, and Self-Protection”, Journal of Political Economy, 80(4), 623-648.
  • Goodwin, B.K. (1993), “An empirical analysis of the demand for multiple peril crop insurance”, American Journal of Agricultural Economics, 75(2), 425-434.
  • Gunnsteinsson, S. (2020), “Experimental identification of asymmetric information: Evidence on crop insurance in the Philippines”, Journal of Development Economics, 144, 102414.
  • Holmström, B. (1979), “Moral hazard and observability”, The Bell Journal of Economics, 10(1), 74-91.
  • Ligon, E. (2003), “Optimal risk in agricultural contracts”, Agricultural Systems, 75(2-3), 265-276.
  • Liu, J.W. & M.J. Browne (2007), “First‐Best Equilibrium in Insurance Markets with Transaction Costs and Heterogeneity”, Journal of Risk and Insurance, 74(4), 739-760.
  • Luckstead, J. & S. Devadoss (2019), “Implications of commodity programs and crop insurance policies for wheat producers”, Journal of Agricultural and Applied Economics, 51(2), 267-285.
  • Mahul, O. & B.D. Wright (2003), “Designing optimal crop revenue insurance”, American Journal of Agricultural Economics, 85(3), 580-589.
  • Martin-Boyer, M. & R. Peter (2020), “Insurance fraud in a Rothschild-Stiglitz world”, Journal of Risk and Insurance, 87(1), 117-142.
  • Raviv, A. (1979), “The design of an optimal insurance policy”, The American Economic Review, 69(1), 84-96.
  • Roll, K.H. (2019), “Moral hazard: the effect of insurance on risk and efficiency”, Agricultural Economics, 50(3), 367-375.
  • Rothschild, M. & J. Stiglitz (1978), “Equilibrium in competitive insurance markets: An essay on the economics of imperfect information”, in: Uncertainty in Economics (257-280), Elsevier.
  • Seog, S.H. & J. Hong (2024), “Moral hazard in loss reduction and state-dependent utility”, Insurance: Mathematics and Economics, 115, 151-168.
  • Shen, Z. & M. Odening (2013), “Coping with systemic risk in index‐based crop insurance”, Agricultural Economics, 44(1), 1-13.
  • Sherrick, B.J. et al. (2004), “Factors influencing farmers' crop insurance decisions”, American Journal of Agricultural Economics, 86(1), 103-114.
  • Smith, V.H. & B.K. Goodwin (1996), “Crop insurance, moral hazard, and agricultural chemical use”, American Journal of Agricultural Economics, 78(2), 428-438.
  • Stiglitz, J.E. (1977), “Monopoly, non-linear pricing and imperfect information: the insurance market”, The Review of Economic Studies, 44(3), 407-430.
  • Zhang, L. (2008), “Three essays on agricultural risk and insurance”, PhD Dissertation, Department of Economics, Iowa State University.
There are 30 citations in total.

Details

Primary Language English
Subjects Behavioural Economy, Insurance Economy, Agricultural Economics
Journal Section Articles
Authors

Güven Şimşek 0000-0003-1139-0596

Kasırga Yıldırak 0000-0002-0797-3505

Early Pub Date January 1, 2025
Publication Date
Submission Date March 26, 2024
Acceptance Date November 18, 2024
Published in Issue Year 2025 Volume: 33 Issue: 63

Cite

APA Şimşek, G., & Yıldırak, K. (2025). Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model. Sosyoekonomi, 33(63), 87-102. https://doi.org/10.17233/sosyoekonomi.2025.01.04
AMA Şimşek G, Yıldırak K. Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model. Sosyoekonomi. January 2025;33(63):87-102. doi:10.17233/sosyoekonomi.2025.01.04
Chicago Şimşek, Güven, and Kasırga Yıldırak. “Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model”. Sosyoekonomi 33, no. 63 (January 2025): 87-102. https://doi.org/10.17233/sosyoekonomi.2025.01.04.
EndNote Şimşek G, Yıldırak K (January 1, 2025) Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model. Sosyoekonomi 33 63 87–102.
IEEE G. Şimşek and K. Yıldırak, “Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model”, Sosyoekonomi, vol. 33, no. 63, pp. 87–102, 2025, doi: 10.17233/sosyoekonomi.2025.01.04.
ISNAD Şimşek, Güven - Yıldırak, Kasırga. “Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model”. Sosyoekonomi 33/63 (January 2025), 87-102. https://doi.org/10.17233/sosyoekonomi.2025.01.04.
JAMA Şimşek G, Yıldırak K. Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model. Sosyoekonomi. 2025;33:87–102.
MLA Şimşek, Güven and Kasırga Yıldırak. “Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model”. Sosyoekonomi, vol. 33, no. 63, 2025, pp. 87-102, doi:10.17233/sosyoekonomi.2025.01.04.
Vancouver Şimşek G, Yıldırak K. Moral Hazard Analysis for Crop Yield Insurance Using Loss Prevention Model. Sosyoekonomi. 2025;33(63):87-102.