2015
DOI: 10.1093/jae/ejv024
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Role of Access to Credit in Rice Production in Sub-Saharan Africa: The Case of Mwea Irrigation Scheme in Kenya

Abstract: This study investigates the possibility of boosting rice production in Sub-Saharan Africa with a special focus on the role of access to credit in rice farming in the largescale Mwea Irrigation Scheme in Kenya. Using household level survey data, we find

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Cited by 42 publications
(24 citation statements)
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“…To economists, agricultural technology adoption decisions should be the outcome of individuals' optimization of expected utility or profit, where returns are a function of land allocation, the production technology, the costs of inputs, prices of outputs, and the markets in which those prices are realized and obtainable (Feder, Just, and Zilberman 1985). Recent literature that has focused on physical output, or imputed a shadow value to unmarketed physical output, implicitly assumes that output can either be stored or sold at a profitable price (Evenson and Gollin 2003;Smale and Olwande 2014;Asfaw, Di Battista, and Lipper 2016;Emerick et al 2016;Jutzi and Rich 2016;Njeru, Mano, and Otsuka 2016;Verkaart et al 2017). If outputs are instead difficult to sell or store, this could explain why the adoption of so many high-yielding varieties remains low.…”
mentioning
confidence: 99%
“…To economists, agricultural technology adoption decisions should be the outcome of individuals' optimization of expected utility or profit, where returns are a function of land allocation, the production technology, the costs of inputs, prices of outputs, and the markets in which those prices are realized and obtainable (Feder, Just, and Zilberman 1985). Recent literature that has focused on physical output, or imputed a shadow value to unmarketed physical output, implicitly assumes that output can either be stored or sold at a profitable price (Evenson and Gollin 2003;Smale and Olwande 2014;Asfaw, Di Battista, and Lipper 2016;Emerick et al 2016;Jutzi and Rich 2016;Njeru, Mano, and Otsuka 2016;Verkaart et al 2017). If outputs are instead difficult to sell or store, this could explain why the adoption of so many high-yielding varieties remains low.…”
mentioning
confidence: 99%
“…Outcome variable is represented by (A) the application of inputs, consisting of (A1) the imputed cost of family labor (000FCFA/ha); (A2) the cost of hired labor (000FCFA/ha); (A3) the cost of machinery (000FCFA/ha); (A4) the application of chemical fertilizer (kg/ha); (B) the imputed cost of family labor and the cost of hired labor allocated to different agricultural activities (000FCFA/ha), consisting of (B1) land preparation; (B2) crop establishment; (B3) crop care; and (B4) harvesting; and (C) rice farming performance, consisting of (C1) rice yield (t/ha); (C2) rice income per hectare (000FCFA/ha); (C3) rice profit per hectare (000FCFA/ha); (C4) total rice income of 2.4 tons/ha in SSA and is comparable to the average yield in irrigated areas in SSA in the recent period and tropical Asia in the late 1980s (Njeru et al, 2016).…”
Section: Empirical Strategymentioning
confidence: 99%
“…12). Njeru et al (2016) point out, based on case-study evidence, that as far as irrigated areas are concerned, there is no significant difference in the relationship between fertilizer application and yield per hectare between tropical Asia and SSA. This suggests that the properties of yield functions are similar between tropical Asia and SSA.…”
Section: Possibility Of a Green Revolution In Ssamentioning
confidence: 99%