Browsing by Author "Deom Mike"

Now showing 1 - 2 of 2
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    Publication
    Productivity Gaps among Groundnut Farmers in Kenya and Uganda: A Stochastic Production Frontier Analysis
    (African Journal of Agricultural and Resource Economics, 2016) Asekenye Cresenia; Bravo-Ureta Boris E; Deom Mike; Kidula Nelson; Okello David Kalule; Okoko, Nasambu; Puppala, Naveen
    Productivity gaps for 321 groundnut farmers from Uganda and Kenya were analysed using data from the 2009 growing seasons. Farmers who planted improved varieties enjoyed output advantages of 143% in Uganda and 58.6% in Kenya over those who planted only local varieties. Farmers had a mean technical efficiency of 54.6% in Uganda and 54.4% in Kenya. No significant differences were found in the mean technical efficiencies of research and non-research farmers, and between maleand female-managed plots. Productivity therefore could be enhanced if highefficiency households invest more in improved varieties and if low-efficiency households make better use of their existing technology. Continued development of improved varieties will further shift the production frontier outward. The apparent spill-over effect of the technical support received by research and nonresearch farmers suggests that farmer education has a multiplier effect. An improvement in extension service delivery could help to enhance the managerial skills of both farmer categories.
  • Thumbnail Image
    Publication
    Productivity gaps among groundnut farmers in Kenya and Uganda: A stochastic production frontier analysis
    (African Journal of Agricultural and Resource Economics, 2016) Asekenye Cresenia; Bravo-Ureta Boris E; Deom Mike; Kidula Nelson; Okello David Kalule; Okoko Nasambu; Puppala Naveen
    Productivity gaps for 321 groundnut farmers from Uganda and Kenya were analysed using data from the 2009 growing seasons. Farmers who planted improved varieties enjoyed output advantages of 143% in Uganda and 58.6% in Kenya over those who planted only local varieties. Farmers had a mean technical efficiency of 54.6% in Uganda and 54.4% in Kenya. No significant differences were found in the mean technical efficiencies of research and non-research farmers, and between maleand female-managed plots. Productivity therefore could be enhanced if high-efficiency households invest more in improved varieties and if low-efficiency households make better use of their existing technology. Continued development of improved varieties will further shift the production frontier outward. The apparent spill-over effect of the technical support received by research and nonresearch farmers suggests that farmer education has a multiplier effect. An improvement in extension service delivery could help to enhance the managerial skills of both farmer categories.