2022
DOI: 10.1016/j.worlddev.2021.105694
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Precision approaches to food insecurity: A spatial analysis of urban hunger and its contextual correlates in an African city

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Cited by 11 publications
(7 citation statements)
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“…It is uncertain what consumers would think of foods that carry no health warning; that is, would such food automatically be considered healthy, and if so, how healthy? Unintended consequences of health warnings on food also merit further research [ 80 ], especially in developing countries such as South Africa, where hunger and food insecurity are rife [ 81 , 82 ].…”
Section: Discussionmentioning
confidence: 99%
“…It is uncertain what consumers would think of foods that carry no health warning; that is, would such food automatically be considered healthy, and if so, how healthy? Unintended consequences of health warnings on food also merit further research [ 80 ], especially in developing countries such as South Africa, where hunger and food insecurity are rife [ 81 , 82 ].…”
Section: Discussionmentioning
confidence: 99%
“…The FFSP result is constrained by the lack of the informal food sources in the input data, although access roads were given a weight to compensate for this drawback. However, as indicated in recent research in other sub-Saharan African cities (Battersby and Marshak 2016;Davis et al 2022) the informal and formal food vendors are likely to be geographically clustered within similar areas. This further validates our approach to map the FFSP in absence of the exact point locations of the actors in the informal food sector.…”
Section: Physical Food Access: Formal Food System Potentialmentioning
confidence: 90%
“…Many countries exhibit spatial trends in various poverty indicators, such as regional variation or differences between rural and urban communities [17,27,[29][30][31]. For example, in India, eastern and northeastern states are more vulnerable to energy poverty [29], whereas energy poverty in Africa can occur in both rural and urban areas.…”
Section: Vulnerability Contextmentioning
confidence: 99%