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Agricultural insurances based on meteorological indices: realizations, methods and research challenges

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  • Antoine Leblois

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Philippe Quirion

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, LMD - Laboratoire de Météorologie Dynamique (UMR 8539) - UPMC - Université Pierre et Marie Curie - Paris 6 - INSU - CNRS - Institut national des sciences de l'Univers - X - École polytechnique - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - Département des Géosciences - ENS Paris - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris sciences et lettres)

Abstract

In many low-income countries, agriculture is mostly rainfed and crop yield depends highly on climatic factors. Furthermore, farmers have little access to traditional crop insurance, which suffers from high information asymmetry and transaction costs. Insurances based on meteorological indices could fill this gap since they do not face such drawbacks. However, a full-scale implementation has been slow so far. In this article, the most advanced projects that have taken place in developing countries using these types of crop insurances are described. Following this, the methodology that has been used to design such projects in order to choose the meteorological index, the indemnity schedule and the insurance premium, is described. Finally the main research issues are discussed. In particular, more research is needed on implementation, assessment of benefits, how to deal with climate change, spatial variability of weather and interactions with other hedging methods.

Suggested Citation

  • Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
    • Handle: RePEc:hal:journl:hal-00656778
    DOI: 10.1002/met.303
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    2. Antoine Leblois & Philippe Quirion & Agali Alhassane & Seydou Traoré, 2014. "Weather Index Drought Insurance: An Ex Ante Evaluation for Millet Growers in Niger," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(4), pages 527-551, April.
    3. Isaboke, Hezron Nyarindo & Qiao, Zhang & Nyarindo, Wilckyster Nyateko & Ke, Wang, 2016. "Explaining The Perception Of Smallholders Towards Weather Index Micro-Insurance Alongside Risks And Coping Strategies," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(4), pages 1-19, October.
    4. Alvin M. Igobwa & Jeremy Gachanja & Betsy Muriithi & John Olukuru & Angeline Wairegi & Isaac Rutenberg, 2022. "A canary, a coal mine, and imperfect data: determining the efficacy of open-source climate change models in detecting and predicting extreme weather events in Northern and Western Kenya," Climatic Change, Springer, vol. 174(3), pages 1-24, October.
    5. Aditya Kusuma & Bethanna Jackson & Ilan Noy, 2018. "A viable and cost-effective weather index insurance for rice in Indonesia," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(2), pages 186-218, September.
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    7. Afriyie-Kraft, Lydia & Zabel, Astrid & Damnyag, Lawrence, 2020. "Index-based weather insurance for perennial crops: A case study on insurance supply and demand for cocoa farmers in Ghana," World Development Perspectives, Elsevier, vol. 20(C).
    8. Shih‐Chieh Liao & Shih‐Chieh Chang & Tsung‐Chi Cheng, 2022. "Index‐based renewable energy insurance for Taiwan Solar Photovoltaic Power Plants," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(2), pages 145-172, June.
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    11. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 2012. "Improving Accuracy of Technological Trend Estimations In Farm Yield Models by Taking Weather Effects Into Account," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126662, International Association of Agricultural Economists.
    12. Jensen, Nathaniel D. & Mude, Andrew G. & Barrett, Christopher B., 2018. "How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya," Food Policy, Elsevier, vol. 74(C), pages 172-198.
    13. Bucheli, Janic & Dalhaus, Tobias & Finger, Robert, 2022. "Temperature effects on crop yields in heat index insurance," Food Policy, Elsevier, vol. 107(C).
    14. Gebrekidan, Tnsue, 2021. "Does Index-Based Livestock Insurance Change the Cash Saving Behaviour of Pastoralists in Southern Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315876, International Association of Agricultural Economists.
    15. Vroege, Willemijn & Dalhaus, Tobias & Finger, Robert, 2019. "Index insurances for grasslands – A review for Europe and North-America," Agricultural Systems, Elsevier, vol. 168(C), pages 101-111.
    16. Vilija ALEKNEVICIENE & Birute STAREVICIUTE & Egle ALEKNEVICIUTE, 2018. "Evaluation of the efficiency of European Union farms: a risk-adjusted return approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(6), pages 241-255.
    17. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 2014. "Yield Trend Estimation in the Presence of Farm Heterogeneity and Non-linear Technological Change," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 53(2), pages 1-20, May.
    18. Nigus, Halefom & Nillesen, Eleonora & Mohnen, Pierre, 2018. "The effect of weather index insurance on social capital: Experimental evidence from Ethiopia," MERIT Working Papers 2018-007, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Anghileri, Daniela & Bozzini, Veronica & Molnar, Peter & Jamali, Andrew A.J. & Sheffield, Justin, 2022. "Comparison of hydrological and vegetation remote sensing datasets as proxies for rainfed maize yield in Malawi," Agricultural Water Management, Elsevier, vol. 262(C).
    20. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 2012. "Yield trend estimation in the presence of non-constant technological change and weather effects," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122541, European Association of Agricultural Economists.
    21. Zed Zulkafli & Farrah Melissa Muharam & Nurfarhana Raffar & Amirparsa Jajarmizadeh & Mukhtar Jibril Abdi & Balqis Mohamed Rehan & Khairudin Nurulhuda, 2021. "Contrasting Influences of Seasonal and Intra-Seasonal Hydroclimatic Variabilities on the Irrigated Rice Paddies of Northern Peninsular Malaysia for Weather Index Insurance Design," Sustainability, MDPI, vol. 13(9), pages 1-23, May.
    22. Platteau, Jean-Philippe & De Bock, Ombeline & Gelade, Wouter, 2017. "The Demand for Microinsurance: A Literature Review," World Development, Elsevier, vol. 94(C), pages 139-156.

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