Weather variability and extreme shocks in Africa: Are female or male farmers more affected?

Simple item page
cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.contributor.donorUnited States Agency for International Developmenten
cg.coverage.regionAfrica
cg.coverage.regionSub-Saharan Africa
cg.coverage.regionMiddle Africa
cg.coverage.regionEastern Africa
cg.coverage.regionNorthern Africa
cg.coverage.regionSouthern Africa
cg.coverage.regionWestern Africa
cg.creator.identifierCarlo Azzarri: 0000-0002-0345-1304
cg.identifier.projectIFPRI - Gender, Climate Change and Nutrition Integration Initiative (GCAN)
cg.identifier.projectIFPRI - Environment and Production Technology Division
cg.identifier.publicationRankNot ranked
cg.identifier.urlhttps://purl.umn.edu/322503en
cg.reviewStatusInternal Reviewen
dc.contributor.authorAzzarri, Carloen
dc.contributor.authorNico, Gianluigien
dc.date.accessioned2024-04-12T13:37:31Zen
dc.date.available2024-04-12T13:37:31Zen
dc.identifier.urihttps://hdl.handle.net/10568/141240
dc.titleWeather variability and extreme shocks in Africa: Are female or male farmers more affected?en
dcterms.abstractAfrican agriculture is highly sensitive to weather variability and extreme weather shocks. The question of how weather events affect participation in agricultural employment—including from a gender perspective—remains unanswered. This study aims to empirically quantify differences in how women and men adapt their participation in agricultural employment in response to climate variability and extreme weather events. Our study uses a novel individual-level database that draws mostly from Labour Force Surveys (LFS) that represents more than 80% of the total African population and covers nearly 86% of the Africa’s total workforce. In order to identify shock-affected areas, we match data from that LFS with gridcell monthly time series bioclimatic variables (temperature and rainfall). We estimate two systems of equations using the seemingly unrelated regressions (SUR) estimator to account for the potential contemporaneous correlation of the error terms in each equation. Descriptive results by region show that, regardless of age and sex, agriculture dominates employment distribution. In West and Central Africa and in East and Southern Africa region the agricultural sector employs the largest share of the working population. Multivariate SUR results show that, of all weather events, heat waves and droughts have the greatest detrimental effecton the intensity of individual efforts in agriculture; the number of work hours is reduced by 40% in the case of heat waves and 14% during droughts. If farmers are women, however, the reduction in work hours due to heat wave is lessened by 40%. Given the fundamental role of women both in agricultural production and in coping with extreme weather shocks, the key priorities would lie on implementation of sustainable, climate-resilient, and gender-sensitive policies; corresponding interventions in the labor market; and gender mainstreaming in planning and promoting agriculture- and job-related programs.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationAzzarri, Carlo; and Nico, Gianluigi. 2022. Weather variability and extreme shocks in Africa: Are female or male farmers more affected? Presented at the AAEA Annual Meeting in Anaheim, United States, July 31-August 2, 2022. https://purl.umn.edu/322503en
dcterms.issued2022-08-02
dcterms.languageen
dcterms.publisherAgricultural and Applied Economics Associationen
dcterms.relationhttps://doi.org/10.2499/p15738coll2.135870en
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/8331en
dcterms.subjectweather hazardsen
dcterms.subjectgenderen
dcterms.subjectshocken
dcterms.subjectclimate variabilityen
dcterms.subjectfarmersen
dcterms.subjectemploymenten
dcterms.subjectweatheren
dcterms.typeConference Paper

Files

Collections

IFPRI Conference Papers