Where women in agri-food systems are at highest climate risk: A methodology for mapping climate-agriculture-gender inequality hotspots

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cg.authorship.typesCGIAR multi-centreen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationBioversity International and the International Center for Tropical Agricultureen_US
cg.contributor.affiliationInternational Rice Research Instituteen_US
cg.contributor.affiliationInternational Food Policy Research Instituteen_US
cg.contributor.affiliationAccelerating Impacts of CGIAR Climate Research for Africaen_US
cg.contributor.affiliationWorld Banken_US
cg.contributor.crpGenderen_US
cg.contributor.donorUnited States Agency for International Developmenten_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeDigital Innovationen_US
cg.coverage.countryBangladeshen_US
cg.coverage.countryMalien_US
cg.coverage.countryPakistanen_US
cg.coverage.countryZambiaen_US
cg.coverage.iso3166-alpha2BDen_US
cg.coverage.iso3166-alpha2MLen_US
cg.coverage.iso3166-alpha2PKen_US
cg.coverage.iso3166-alpha2ZMen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionAsiaen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.regionWestern Africaen_US
cg.coverage.regionEastern Africaen_US
cg.creator.identifierEls Lecoutere: 0000-0002-1025-742Xen_US
cg.creator.identifierJawoo Koo: 0000-0003-3424-9229en_US
cg.creator.identifierCarlo Azzarri: 0000-0002-0345-1304en_US
cg.creator.identifierRanjitha Puskur: 0000-0002-9112-3414en_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.3389/fsufs.2023.1197809en_US
cg.identifier.projectIFPRI - Innovation Policy and Scaling Uniten_US
cg.identifier.projectIFPRI - Natural Resources and Resilience Uniten_US
cg.identifier.projectIFPRI - Systems Transformation - Transformation Strategiesen_US
cg.identifier.publicationRankNot rankeden_US
cg.isijournalISI Journalen_US
cg.issn2571-581Xen_US
cg.journalFrontiers in Sustainable Food Systemsen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.actionAreaSystems Transformationen_US
cg.subject.impactAreaGender equality, youth and social inclusionen_US
cg.subject.impactPlatformGenderen_US
cg.volume7en_US
dc.contributor.authorLecoutere, Elsen_US
dc.contributor.authorMishra, Avnien_US
dc.contributor.authorSingaraju, Niyatien_US
dc.contributor.authorKoo, Jawooen_US
dc.contributor.authorAzzarri, Carloen_US
dc.contributor.authorChanana, Nityaen_US
dc.contributor.authorNico, Gianluigien_US
dc.contributor.authorPuskur, Ranjithaen_US
dc.date.accessioned2023-10-17T20:41:27Zen_US
dc.date.available2023-10-17T20:41:27Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/132309en_US
dc.titleWhere women in agri-food systems are at highest climate risk: A methodology for mapping climate-agriculture-gender inequality hotspotsen_US
dcterms.abstractClimate change poses a greater threat for more exposed and vulnerable countries, communities and social groups. People whose livelihood depends on the agriculture and food sector, especially in low-and middle-income countries (LMICs), face significant risk. In contexts with gendered roles in agri-food systems or where structural constraints to gender equality underlie unequal access to resources and services and constrain women's agency, local climate hazards and stressors, such as droughts, floods, or shortened crop-growing seasons, tend to negatively affect women more than men and women's adaptive capacities tend to be more restrained than men's . Transformation towards just and sustainable agri-food systems in the face of climate change will not only depend on reducing but also on averting aggravated gender inequality in agri-food systems. In this paper, we developed and applied an accessible and versatile methodology to identify and map localities where climate change poses high risk especially for women in agri-food systems because of gendered exposure and vulnerability. We label these localities climate-agriculture-gender inequality hotspots. Applying our methodology to LMICs reveals that the countries at highest risk are majorly situated in Africa and Asia. Applying our methodology for agricultural activity-specific hotspot subnational areas to four focus countries, Mali, Zambia, Pakistan and Bangladesh, for instance, identifies a cluster of districts in Dhaka and Mymensingh divisions in Bangladesh as a hotspot for rice. The relevance and urgency of identifying localities where climate change hits agri-food systems hardest and is likely to negatively affect population groups or sectors that are particularly vulnerable is increasingly acknowledged in the literature and, in the spirit of leaving no one behind, in climate and development policy arenas. Hotspot maps can guide the allocation of scarce resources to most at-risk populations. The climate-agriculture-gender inequality hotspot maps show where women involved in agri-food systems are at high climate risk while signaling that reducing this risk requires addressing the structural barriers to gender equality.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceAcademicsen_US
dcterms.available2023-10en_US
dcterms.bibliographicCitationLecoutere, Els; Mishra, Avni; Singaraju, Niyati; Koo, Jawoo; Azzarri, Carlo; Chanana, Nitya; Nico, Gianluigi; and Puskur, Ranjitha. 2023. Where women in agri-food systems are at highest climate risk: A methodology for mapping climate-agriculture-gender inequality hotspots. Frontiers in Sustainable Food Systems 7: 1197809. https://doi.org/10.3389/fsufs.2023.1197809en_US
dcterms.isPartOfFrontiers in Sustainable Food Systemsen_US
dcterms.issued2023-11-06en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherFrontiers Mediaen_US
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/8913en_US
dcterms.subjectagricultureen_US
dcterms.subjectagrifood systemsen_US
dcterms.subjectclimate changeen_US
dcterms.subjectgender equalityen_US
dcterms.subjectless favoured areasen_US
dcterms.subjectlivelihoodsen_US
dcterms.subjectwomenen_US
dcterms.typeJournal Articleen_US

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