With increasing water scarcity and competing uses and users, water use efficiency is becoming increasingly important in many parts of developing countries. The lake Naivasha basin has an array of different water users and uses ranging from large scale export market agriculture, urban domestic water users to small holder farmers. The small scale farmers are located in the upper catchment areas and form the bulk of the users in terms of area and population. This study used farm household data to explore the overall technical efficiency, irrigation water use efficiency and establish the factors influencing water use efficiency among small scale farmers in the Lake Naivasha basin in Kenya. Data envelopment analysis, general algebraic and modeling system, and Tobit regression methods were used in analyzing cross sectional data from a sample of 201 small scale irrigation farmers in the lake Naivasha basin. The results showed that on average, the farmers achieved only 63 % technical efficiency and 31 % water use efficiency. This revealed that substantial inefficiencies occurred in farming operations among the sampled farmers. To improve water use efficiency, the study recommends that more emphasis be put on orienting farmers toward appropriate choice of irrigation technologies, appropriate choice of crop combinations in their farms, and the attainment of desirable levels of farm fragmentation.
Irrigation Small holder farmers Water use efficiency Kenya
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The authors acknowledge funding for this study from the African Economic Research Consortium and the University of Bonn.
Alene AD, Zeller M (2005) Technology adoption and farmer efficiency in multiple crops production in eastern Ethiopia: a comparison of parametric and nonparametric distance functions. J Agric Econ 6:5–17Google Scholar
Arega DA, Manyong MV, Gockowski J (2006) The production efficiency of intercropping annual and perennial crops in southern Ethiopia: a comparison of distance functions and production frontiers. J Agric Syst 91:51–70. doi:10.1016/j.agsy.2006.01.007CrossRefGoogle Scholar
Ball VE, Lovell CAK, Nehring RF, Somwaru A (1994) Incorporating Undesirable Outputs into Models of Production: an Application to US Agriculture. Cah d’Econ et Soc Rural 31:59–73Google Scholar
Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale Inefficiencies in data envelopment analysis. J Manag Sci 30:1078–1092CrossRefGoogle Scholar
Coelli T, Rao PDS, Battese GE (1998) An introduction to efficiency and productivity analysis. Kluwer, BostonCrossRefGoogle Scholar
Coelli T, Rahman S, Thirtle C (2002) Technical, allocative, cost and scale efficiencies in Bangladesh rice cultivation: a non-parametric approach. J Agric Econ 53(3):607–627CrossRefGoogle Scholar
Díaz RJA, Camacho Poyato E, López Luque R (2004a) Applying benchmarking and data envelopment analysis (DEA) techniques to irrigation districts in Spain. J Irrig Drain 53:135–143. doi:10.1002/ird.128CrossRefGoogle Scholar
Haji J (2006) Production efficiency of smallholders’ vegetable-dominated mixed farming system in Eastern Ethiopia: a non-parametric approach. J Afr Econ 16(1):1–27. doi:10.1093/jae/ejl044CrossRefGoogle Scholar
Harper DM, Mavuti KM (2004) Managing protected areas in the face of ecosystem change and anthropogenic stress, lake Naivasha Kenya. J Hydrobiol 4:287–305Google Scholar
Harper DM, Boar RR, Everard M, Hickley P (2002) Towards an understanding of human impact upon the hydrology of Lake Naivasha, Kenya. J Hydrobiol 488:1–11CrossRefGoogle Scholar
Jacomia P. de Regt (2005) Paper presented at the International workshop on African water laws: plural legislative frameworks for rural water management in Africa. Johannesburg South AfricaGoogle Scholar
Malano MH, Burton M, Makin I (2004) Benchmarking performance in the irrigation and drainage sector: a tool for change. J Irrig drain 53:119–133CrossRefGoogle Scholar
Mireri C (2005) Challenges facing the conservation of Lake Naivasha, Kenya. Msc thesis, Kenyatta UniversityGoogle Scholar
Mulwa R (2006) Economic and environmental performance of sugarcane production in Kenya: non-parametric frontier approaches. PhD dissertation, University of GiessenGoogle Scholar
Nsanzugwanko MD, Battese GE, Fleming EM (1996) The technical efficiency of small agricultural producers in Central Ethiopia. Centre for Efficiency and Productivity analysis working papers No. 5/96. University of New England, ArmidaleGoogle Scholar
Speelman S, D’Haese M, Buysse J (2008) A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa. J Agric syst 98:31–39. doi:10.1016/j.agsy.2008.03.006CrossRefGoogle Scholar
Thiam A, Bravo-Ureta BE, Rivas TE (2001) Technical efficiency in developing country agriculture: a meta analysis. J Agric Econ 25:235–243CrossRefGoogle Scholar
Wadud A, White B (2000) Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods. J Appl Econ 32:1665–1673CrossRefGoogle Scholar
Wallace JS (2000) Increasing agricultural water use efficiency to meet future food production. J Agric Ecosyst Environ 82:105–119CrossRefGoogle Scholar