IDEAS home Printed from https://ideas.repec.org/a/eee/wodepe/v20y2020ics2452292920300576.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2452292920300576
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.wdp.2020.100237?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. Kapondamgaga, Mwiriha & Fisher, Monica, 2011. "Weather insurance for smallholder tobacco farmers in Malawi:," MaSSP policy notes 6, International Food Policy Research Institute (IFPRI).
    13. 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).
    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, July.
    15. 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.
    16. Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
    17. 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.
    18. 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.
    19. 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.
    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. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mitchell Roznik & C. Brock Porth & Lysa Porth & Milton Boyd & Katerina Roznik, 2019. "Improving agricultural microinsurance by applying universal kriging and generalised additive models for interpolation of mean daily temperature," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(3), pages 446-480, July.
    2. Mengmeng Qiang & Manhong Shen & Guanjun Xia, 2023. "The effectiveness of weather index insurance in managing mariculture production risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 245-262, April.
    3. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    4. Dougherty, John P. & Flatnes, Jon Einar & Gallenstein, Richard A. & Miranda, Mario J. & Sam, Abdoul G., 2020. "Climate change and index insurance demand: Evidence from a framed field experiment in Tanzania," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 155-184.
    5. Ward, Patrick S. & Kumar, Neha & De Nicola, Francesca & Hill, Ruth & Makhija, Simrin & Spielman, David J. & Magnan, Nicholas, 2017. "Insuring Against Drought: Evidence on Agricultural Intensification and Demand for Index Insurance from a Randomized Evaluation in Rural Bangladesh," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258090, Agricultural and Applied Economics Association.
    6. Hill, Ruth Vargas & Kumar, Neha & Magnan, Nicholas & Makhija, Simrin & de Nicola, Francesca & Spielman, David J. & Ward, Patrick S., 2017. "Insuring against droughts: Evidence on agricultural intensification and index insurance demand from a randomized evaluation in rural Bangladesh," IFPRI discussion papers 1630, International Food Policy Research Institute (IFPRI).
    7. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 276460, Collaborative Masters Program in Agricultural and Applied Economics.
    8. Bucheli, Janic & Dalhaus, Tobias & Finger, Robert, 2022. "Temperature effects on crop yields in heat index insurance," Food Policy, Elsevier, vol. 107(C).
    9. 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.
    10. Takahashi, Kazushi & Ikegami, Munenobu & Sheahan, Megan & Barrett, Christopher B., 2014. "Quasi-experimental evidence on the drivers of index-based livestock insurance demand in Southern Ethiopia," IDE Discussion Papers 480, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    11. Patrick S. Ward & David L. Ortega & David J. Spielman & Neha Kumar & Sumedha Minocha, 2020. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk," Economic Development and Cultural Change, University of Chicago Press, vol. 68(2), pages 607-653.
    12. Martin Achtnicht & Daniel Osberghaus, 2019. "The Demand for Index‐Based Flood Insurance in a High‐Income Country," German Economic Review, Verein für Socialpolitik, vol. 20(2), pages 217-242, May.
    13. Temesgen Belissa & Robert Lensink & Anne Winkel, 2020. "Effects of Index Insurance on Demand and Supply of Credit: Evidence from Ethiopia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1511-1531, October.
    14. Rigo, Roberta & Santos, Paulo & Frontuto, Vito, 2022. "Landscape heterogeneity, basis risk and the feasibility of index insurance: An analysis of rice in upland regions of Southeast Asia," Food Policy, Elsevier, vol. 108(C).
    15. Takahashi, Kazushi & Ikegami, Munenobu & Sheahan, Megan & Barrett, Christopher B., 2016. "Experimental Evidence on the Drivers of Index-Based Livestock Insurance Demand in Southern Ethiopia," World Development, Elsevier, vol. 78(C), pages 324-340.
    16. Belissa, Temesgen Keno & Lensink, Robert & van Asseldonk, Marcel, 2020. "Risk and ambiguity aversion behavior in index-based insurance uptake decisions: Experimental evidence from Ethiopia," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 718-730.
    17. King, Michael & Singh, Anuj Pratap, 2020. "Understanding farmers’ valuation of agricultural insurance: Evidence from Vietnam," Food Policy, Elsevier, vol. 94(C).
    18. Shawn Cole & Xavier Gine & Jeremy Tobacman & Petia Topalova & Robert Townsend & James Vickery, 2013. "Barriers to Household Risk Management: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 104-135, January.
    19. Antoine Leblois & Philippe Quirion & Benjamin Sultan, 2013. "Price vs. weather shock hedging for cash crops: ex ante evaluation for cotton producers in Cameroon," Working Papers hal-00796528, HAL.
    20. Lima Miquelluti, Daniel & Ozaki, Vitor & Miquelluti, David J., 2020. "An application of geographically weighted quantile LASSO to weather index insurance design," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304288, Agricultural and Applied Economics Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:wodepe:v:20:y:2020:i:c:s2452292920300576. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/world-development-perspectives .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.