KENYA: Comparing productivity of rice under System of Rice Intensification and conventional flooding: A switching regression approach


This paper examined the factors influencing rice productivity in Kenya’s Mwea Irrigation Scheme using the System of rice intensification (SRI) and conventional flooding (CF). Analysis of 364 farmer interviews with an Endogenous Switching regression Model (ESRM) revealed that factors such as household size, access to extension services, involvement in off-farm work, distance from the canal, farm size, labour use, access to credit services and years spent in rice farming were significant in explaining variations in rice productivity. The gross margin analysis showed that the returns of SRI outweigh the returns of CF, thus making SRI more profitable than CF.

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