2020
DOI: 10.7275/sj66-1p84
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Improving Income and Nutrition of Smallholder Farmers in Eastern Africa using a Market-First Science-Driven Approach to Enhance Value Chain Production of African Indigenous Vegetables

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Cited by 3 publications
(3 citation statements)
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“…Value chain interventions have strengthened the retail sale of African leafy vegetables, despite their abundance in the natural food environment [ 42 ]. Such interventions have focused on retail best practices as well as improved infrastructure such as the development of wholesale markets, which allow farmers to aggregate their harvests and empower them to participate in larger market sales [ 43 ]. Lessons learned from the African leafy vegetable value chains could be used to support the finger millet and Koinaar leave value chains in India.…”
Section: Discussionmentioning
confidence: 99%
“…Value chain interventions have strengthened the retail sale of African leafy vegetables, despite their abundance in the natural food environment [ 42 ]. Such interventions have focused on retail best practices as well as improved infrastructure such as the development of wholesale markets, which allow farmers to aggregate their harvests and empower them to participate in larger market sales [ 43 ]. Lessons learned from the African leafy vegetable value chains could be used to support the finger millet and Koinaar leave value chains in India.…”
Section: Discussionmentioning
confidence: 99%
“…For the HH survey, the study population included adults (18 years of age and older) who either resided in Mukuru or within five counties of Western Kenya: Bungoma, Busia, Kisumu, Trans Nzoia, and Uasin Gishu. These areas were selected based on prior work conducted by members of the study team [ 17 , 18 , 19 , 20 , 21 ]. The total sample size ( n = 300) was selected based on sample size calculations conducted by similar researchers using the same rapid assessment (C-SCAN) in other geographical locations [ 12 , 22 ].…”
Section: Methodsmentioning
confidence: 99%
“…In the rural communities, HHs across the five counties ( n = 300) were randomly selected using a random number generator from a list of households ( n = 500) that participated in a USAID project led by the study team [ 18 , 19 ]. A member of the study team (N.M.) called each of the randomly selected HHs to introduce them to the present study and request permission to call them in the future for participation in the study.…”
Section: Methodsmentioning
confidence: 99%