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
cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationUniversity of Southern Queenslanden
cg.contributor.affiliationThanh Do Universityen
cg.contributor.affiliationAfrica Rice Centeren
cg.contributor.donorCGIAR Trust Funden
cg.contributor.donorAustralian Governmenten
cg.contributor.initiativeExcellence in Agronomy
cg.coverage.countryAustralia
cg.coverage.iso3166-alpha2AU
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1016/j.sftr.2024.100249en
cg.isijournalISI Journalen
cg.issn2666-1888en
cg.journalSustainable Futuresen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.impactPlatformPoverty Reduction, Livelihoods and Jobs
cg.volume8en
dc.contributor.authorThong Nguyen-Huyen
dc.contributor.authorKath, J.en
dc.contributor.authorKouadio, L.en
dc.contributor.authorKing, R.en
dc.contributor.authorMushtaq, S.en
dc.contributor.authorBarratt, J.en
dc.date.accessioned2024-12-04T04:55:33Zen
dc.date.available2024-12-04T04:55:33Zen
dc.identifier.urihttps://hdl.handle.net/10568/163007
dc.titleIntegrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmersen
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
dcterms.accessRightsOpen Access
dcterms.audienceCGIARen
dcterms.audienceDonorsen
dcterms.audienceScientistsen
dcterms.available2024-07-14
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
dcterms.extent100249en
dcterms.issued2024-12-01
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.subjectcropsen
dcterms.subjectcrop managementen
dcterms.subjectstrategiesen
dcterms.subjectrisken
dcterms.subjectfinanceen
dcterms.typeJournal Article

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