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Strategic use of index-based frost insurance to reduce financial risk and improve income stability for wheat producers in Australia

Author

Listed:
  • Barratt, Jonathan
  • Kath, Jarrod
  • Mushtaq, Shahbaz
  • Collins, Brian
  • Chenu, Karine
  • Christopher, Jack
  • An-Vo, Duc-Anh

Abstract

Losses due to frost undermine the financial sustainability of growing spring wheat, which is often managed by the late sowing of crops. While late sowing may reduce frost risk, it can compromise yields due to increasing risks of heat and drought stress later in crop development.

Suggested Citation

  • Barratt, Jonathan & Kath, Jarrod & Mushtaq, Shahbaz & Collins, Brian & Chenu, Karine & Christopher, Jack & An-Vo, Duc-Anh, 2025. "Strategic use of index-based frost insurance to reduce financial risk and improve income stability for wheat producers in Australia," Agricultural Systems, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:agisys:v:226:y:2025:i:c:s0308521x25000460
    DOI: 10.1016/j.agsy.2025.104306
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    1. Corey Lesk & Pedram Rowhani & Navin Ramankutty, 2016. "Influence of extreme weather disasters on global crop production," Nature, Nature, vol. 529(7584), pages 84-87, January.
    2. M. Ritter & O. Mußhoff & M. Odening, 2014. "Minimizing Geographical Basis Risk of Weather Derivatives Using A Multi-Site Rainfall Model," Computational Economics, Springer;Society for Computational Economics, vol. 44(1), pages 67-86, June.
    3. 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.
    4. Tobias Dalhaus & Barry J Barnett & Robert Finger, 2020. "Behavioral weather insurance: Applying cumulative prospect theory to agricultural insurance design under narrow framing," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-25, May.
    5. Hao, Shirui & Ryu, Dongryeol & Western, Andrew & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2021. "Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis," Agricultural Systems, Elsevier, vol. 194(C).
    6. An-Vo, Duc-Anh & Mushtaq, Shahbaz & Zheng, Bangyou & Christopher, Jack T. & Chapman, Scott C. & Chenu, Karine, 2018. "Direct and Indirect Costs of Frost in the Australian Wheatbelt," Ecological Economics, Elsevier, vol. 150(C), pages 122-136.
    7. Xiaohui Deng & Barry J. Barnett & Dmitry V. Vedenov & Joe W. West, 2007. "Hedging dairy production losses using weather‐based index insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 271-280, March.
    8. Steven Jeffery Crimp & David Gobbett & Philip Kokic & Uday Nidumolu & Mark Howden & Neville Nicholls, 2016. "Recent seasonal and long-term changes in southern Australian frost occurrence," Climatic Change, Springer, vol. 139(1), pages 115-128, November.
    9. Sarah Conradt & Robert Finger & Raushan Bokusheva, 2015. "Tailored to the extremes: Quantile regression for index-based insurance contract design," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 537-547, July.
    10. Barry J. Barnett & Olivier Mahul, 2007. "Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1241-1247.
    11. Ines Kapphan & Pierluigi Calanca & Annelie Holzkaemper, 2012. "Climate Change, Weather Insurance Design and Hedging Effectiveness," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(2), pages 286-317, April.
    12. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-17, December.
    13. Calum G. Turvey, 2001. "Weather Derivatives for Specific Event Risks in Agriculture," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 23(2), pages 333-351.
    14. Gunnar Breustedt & Raushan Bokusheva & Olaf Heidelbach, 2008. "Evaluating the Potential of Index Insurance Schemes to Reduce Crop Yield Risk in an Arid Region," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(2), pages 312-328, June.
    15. Henderson, Vicky & Hobson, David G., 2002. "Real options with constant relative risk aversion," Journal of Economic Dynamics and Control, Elsevier, vol. 27(2), pages 329-355, December.
    16. Antoine Leblois & Philippe Quirion, 2013. "Agricultural insurances based on meteorological indices: realizations, methods and research challenges," Post-Print hal-00656778, HAL.
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