Integrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmers

cg.authorship.typesCGIAR and advanced research instituteen_US
cg.authorship.typesCGIAR and developing country instituteen_US
cg.contributor.affiliationUniversity of Southern Queenslanden_US
cg.contributor.affiliationThanh Do Universityen_US
cg.contributor.affiliationAfrica Rice Centeren_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.donorAustralian Governmenten_US
cg.contributor.initiativeExcellence in Agronomyen_US
cg.coverage.countryAustraliaen_US
cg.coverage.iso3166-alpha2AUen_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.1016/j.sftr.2024.100249en_US
cg.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S2666188824000996?via%3Dihuben_US
cg.isijournalISI Journalen_US
cg.issn2666-1888en_US
cg.journalSustainable Futuresen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaPoverty reduction, livelihoods and jobsen_US
cg.subject.impactPlatformPoverty Reduction, Livelihoods and Jobsen_US
cg.volume8en_US
dc.contributor.authorThong Nguyen-Huyen_US
dc.contributor.authorKath, J.en_US
dc.contributor.authorKouadio, L.en_US
dc.contributor.authorKing, R.en_US
dc.contributor.authorMushtaq, S.en_US
dc.contributor.authorBarratt, J.en_US
dc.date.accessioned2024-12-04T04:55:33Zen_US
dc.date.available2024-12-04T04:55:33Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/163007en_US
dc.titleIntegrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmersen_US
dcterms.abstractDrought undermines the financial sustainability of farmers. While farmers have adopted various strategies to mitigate some drought impacts, they remain exposed to substantial drought risk. Insurance could be useful in managing climatic risks and for encouraging farmers to take sensible risks (e.g., changing their sowing date to increase yield), but it can be costly. Here, we tested whether the integration of a change in sowing date with rainfall index-based insurance could improve farmer profitability and income stability. We used the Agricultural Production Systems Simulator (APSIM)-Cotton model to simulate cotton lint yields for various sowing dates, taking into account different management strategies, across three dry-land cotton research farm sites – Dalby, Goondiwindi, and Theodore – from 1940 to 2022. We designed the index-based insurance payout when the average rainfall received during the growing season falls below a predefined level, such as the 5th, 10th, or 20th percentile of rainfall. Our study, which involved 3.9 million cotton lint simulations and 3,000 rainfall indexbased insurance products, showed that combining a shift in sowing date with insurance can lead to an income improvement of up to 21.5% at some study sites. Additionally, in drought years, the income improvement for farmers who combined optimal sowing dates with rainfall index-based insurance was up to 48.0%. The framework developed in this study could aid in devising financial strategies to enhance farming resilience during climate extremes.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceCGIARen_US
dcterms.audienceDonorsen_US
dcterms.audienceScientistsen_US
dcterms.available2024-07-14en_US
dcterms.bibliographicCitationNguyen-Huy, T., Kath, J., Kouadio, L., King, R., Mushtaq, S. and Barratt, J. 2024. Integrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmers. Sustainable Futures 8:100249.en_US
dcterms.extent100249en_US
dcterms.issued2024-12-01en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.subjectcropsen_US
dcterms.subjectcrop managementen_US
dcterms.subjectstrategiesen_US
dcterms.subjectrisken_US
dcterms.subjectfinanceen_US
dcterms.typeJournal Articleen_US

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