Item Details

Title: Comparing productivity of rice under system of rice intensification and conventional flooding: A switching regression approach

Date Published: 2020
Author/s: Francis K. Kaloi, Hezron N. Isaboke, Charles N. Onyari and Lucy K. Njeru
Data publication:
Funding Agency :
Copyright/patents/trade marks:
Journal Publisher: African Journal of Agricultural Research
Affiliation: 1Department of Agricultural Economics and Extension, University of Embu, P. O. Box 6-60100, Embu. Kenya.
2Department of Land and Water Management, University of Embu, P. O. Box 6-60100, Embu, Kenya.
3Department of Agricultural Economics, Faculty of Agriculture, University of Nairobi, P.O Box 29053-00625, Nairobi,
Keywords: System of rice intensification (SRI), rice, Mwea irrigation scheme, productivity.


This paper examined the factors influencing rice productivity in Mwea Irrigation Scheme using the
System of rice intensification (SRI) and conventional flooding (CF). Stratified sampling was used to
obtain 364 smallholder rice farmers for interviewing. Data collection was done with the aid of a semistructured questionnaire and analyzed using the Endogenous Switching regression Model (ESRM). The
results of 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 found to be significant in explaining variations in rice productivity.
Furthermore, the gross margin analysis showed that the returns of SRI outweigh the returns of CF, thus
making SRI more profitable than CF. The study therefore recommends that Kenya government should
enhance engagement with development partners to pay attention to all significant factors which are important in making decisions in the two practices of rice production.