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Index-based weather insurance for perennial crops: A case study on insurance supply and demand for cocoa farmers in Ghana

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  • Afriyie-Kraft, Lydia
  • Zabel, Astrid
  • Damnyag, Lawrence

Abstract

Adaptation to climate change is crucial for many farming households around the world. Due to path dependencies, perennial crop farmers often face a confined set of adaptation options. This paper explores the potential for index-based weather insurance for cocoa as an example of a perennial crop. The paper presents empirical findings on determinants of interest in index insurance based on a sample of 313 cocoa farming households in Ghana. Further, results of key informant interviews with representatives relevant for the planning and implementation of index insurance are presented.

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  • 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).
  • Handle: RePEc:eee:wodepe:v:20:y:2020:i:c:s2452292920300576
    DOI: 10.1016/j.wdp.2020.100237
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    1. 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.
    2. Ahmed, T., 2013. "Scoping report: Current status of index-based insurance in Bangladesh," Monographs, The WorldFish Center, number 40289, April.
    3. Michael R. CARTER & Alain de JANVRY & Elisabeth SADOULET & Alexandros SARRIS, 2014. "Index-based weather insurance for developing countries: A review of evidence and a set of propositions for up-scaling," Working Papers P111, FERDI.
    4. H. Holly Wang & Raphael N. Karuaihe & Douglas L. Young & Yuehua Zhang, 2013. "Farmers' demand for weather-based crop insurance contracts: the case of maize in south africa," Agrekon, Taylor & Francis Journals, vol. 52(1), pages 87-110, March.
    5. Ruth Vargas Hill & John Hoddinott & Neha Kumar, 2013. "Adoption of weather-index insurance: learning from willingness to pay among a panel of households in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 44(4-5), pages 385-398, July.
    6. Ali, Akhter, 2013. "Farmers’ Willingness to Pay for Index Based Crop Insurance in Pakistan: A Case Study on Food and Cash Crops of Rain-fed Areas," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 26(2).
    7. Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
    8. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    9. Michael T. Norton & Calum Turvey & Daniel Osgood, 2012. "Quantifying spatial basis risk for weather index insurance," Journal of Risk Finance, Emerald Group Publishing, vol. 14(1), pages 20-34, December.
    10. 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.
    11. Emmanuella Ellis, 2017. "Willingness to Pay for Index Based Crop Insurance in Ghana," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(7), pages 700-721, July.
    12. Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
    13. Skees, Jerry R., 2008. "Innovations in Index Insurance for the Poor in Lower Income Countries," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(1), pages 1-15, April.
    14. Emmanuella Ellis, 2017. "Willingness to Pay for Index Based Crop Insurance in Ghana," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(7), pages 700-721.
    15. Kapondamgaga, Mwiriha & Fisher, Monica, 2011. "Weather insurance for smallholder tobacco farmers in Malawi:," MaSSP policy notes 6, International Food Policy Research Institute (IFPRI).
    16. Zinnanti, Cinzia & Schimmenti, Emanuele & Borsellino, Valeria & Paolini, Giulio & Severini, Simone, 2019. "Economic performance and risk of farming systems specialized in perennial crops: An analysis of Italian hazelnut production," Agricultural Systems, Elsevier, vol. 176(C).
    17. Skees, Jerry R., 2008. "Innovations in Index Insurance for the Poor in Lower Income Countries," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(1), pages 1-15, April.
    18. Budhathoki, Nanda Kaji & Lassa, Jonatan A. & Pun, Sirish & Zander, Kerstin K., 2019. "Farmers’ interest and willingness-to-pay for index-based crop insurance in the lowlands of Nepal," Land Use Policy, Elsevier, vol. 85(C), pages 1-10.
    19. Daniel J. Clarke, 2016. "A Theory of Rational Demand for Index Insurance," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 283-306, February.
    20. Afriyie-Kraft, Lydia & Zabel, Astrid & Damnyag, Lawrence, 2020. "Adaptation strategies of Ghanaian cocoa farmers under a changing climate," Forest Policy and Economics, Elsevier, vol. 113(C).
    21. Noujeima Ragoubi & Lotfi Belkacem & Anouar Ben Mimoun, 2013. "Rainfall‐Index Insurance And Technology Adoption: Evidence From Field Experiment In Tunisia," Journal of International Development, John Wiley & Sons, Ltd., vol. 25(5), pages 660-673, July.
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    Cited by:

    1. Lyu Yarong & Chen Minpeng, 2021. "Farmers' perception on combined climatic and market risks and their adaptive behaviors: a case in Shandong Province of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13042-13061, September.
    2. Rajeev, Meenakshi & Nagendran, Pranav, 2023. "Protecting land and livelihood under climate risks: What hinders crop insurance adoption?," Land Use Policy, Elsevier, vol. 131(C).

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