16033 9 88177 2 251671 document 88177 Cooper2019_Article_HungerNutritionAndPrecipitatio.pdf application/pdf 1cf29077677c2cd52b0fe22fd68ae3cd MD5 1893045 2019-08-19 05:54:30 https://pure.iiasa.ac.at/id/eprint/16033/1/Cooper2019_Article_HungerNutritionAndPrecipitatio.pdf 16033 1 1 application/pdf text en public cc_by_4

Cooper2019_Article_HungerNutritionAndPrecipitatio.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/88177 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/88177 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/88177 archive 353 disk0/00/01/60/33 2019-08-19 05:56:40 2021-08-27 17:32:02 2019-08-19 05:56:40 article show Cooper M. 9126 Brown M.E. Azzarri C. Meinzen-Dick R. pub prog_esm Climate change; Precipitation; Food security; Hunger; Nutrition; Spatial error regression Changing precipitation patterns caused by climate change are expected to have major impacts on food security and nutrition in agrarian areas in developing countries. However, the linkages between the duration and severity of precipitation shocks and their effects on child nutrition and household food security metrics remain underexplored. In this study, we used Feed the Future datasets from Ghana and Bangladesh to examine the impact of precipitation extremes on nutrition, measured by children’s height-for-age and weight-for-height Z-scores, and food security, measured by the Household Hunger Scale. We used a spatial error regression to control for the effects of spatial autocorrelation, and we found an association between precipitation shocks and household hunger in both Ghana and Bangladesh, as well as an association between higher rainfall and worse child nutrition in Ghana. 2019-11-14 published Springer 10.1007/s11111-019-00323-8 2998 public Population and Environment 41 151-208 TRUE 1573-7810 FALSE no info:eu-repo/semantics/article