The purpose of the study was to determine and compare the technical efficiencies of smallholder vegetable farmers in the Hhohho region of Swaziland. Data were collected from farmers through a structured questionnaire, which was administered using personal interviews. A two-stage sampling procedure was used by stratifying the vegetable farmers in the Hhohho region according to the four Rural Development Areas (RDAs) in the region. This was followed a random sampling technique used to select the number of vegetable farmers from each stratum. A sample size of 120 farmers was selected from a population of 289 vegetable farmers. Descriptive statistics and a Cobb-Douglas production function were used to analyze the data using the STATA program (version 12). The results revealed that tomato yield was positively associated with the amount of chemicals used, while cabbage yield was positively related to seed, and fertilizer. Beetroot has positive relationship with amount of fertilizer and labour, but a negative association with the amount of land used. The yield of green pepper was negatively related to fertilizer and positively related to chemicals and amount of land used. The technical efficiencies of tomato and cabbage farmers were affected by age, education level, farming experience and access to credit (p <0.01), while beetroot and green pepper was affected by farmer’s age, and off-farm income (p <0.05). The study recommended that vegetable farmers should increase the amount of seeds, fertilizer and chemicals used in order to improve yields. The Swaziland of Swaziland should subsidize farming inputs and financial institutions should make credit easily available to vegetable farmers in order to improve the efficient use of input resources.
This study contributes in the existing literature on technical efficiency. It is noted that not many studies have been conducted on technical efficiency in Swaziland, especially on vegetable production. Hence, this is an original contribution in this field.
Aigner, D.J., C.A.K. Lovell and P. Schmidt, 1977. Formulation and estimation of stochastic production function models. Journal of Econometrics, 6(1): 21-37.
Battese, G.E. and T.J. Coelli, 1995. A model of technical inefficiency effect on stochastic frontier production for panel data. Empirical Economics, 20: 325-345.
Bravo-Ureta, B.E., E. Boris and L. Reigner, 1991. Dairy farm efficiency measurement using stochastic frontiers and neoclassical duality. American Journal of Agricultural Economics, 73(2): 421-428.
Chadha, M.L., P.D. Mkhatshwa, D.M. Gama and R. Nono-Womdim, 1999. Vegetable research and development in Swaziland. Proceedings of the First National Review and Planning Workshop held at Malkerns Research Station, Malkerns, Swaziland, March 8-9, 1999.
Dlamini, B.P., 2012. Analysing the competitiveness of the agribusiness sector in Swaziland. MSc Thesis, Faculty of Natural and Agricultural Sciences, University of Pretoria, South Africa.
Meeusen, W. and J. Van den Broeck, 1977. Efficiency estimation from cobb-douglas production functions with composed error. International Economic Review, 18(2): 435-444.
Nyagaka, D.O., G.A. Obare, J.M. Omiti and W. Nguyo, 2010. Technical efficiency in resource use: Evidence from smallholder Irish potato farmers in Nyandarua North District, Kenya. African Journal of Agricultural Research, 5(11): 1179-1186.
Sekhon, M.K. and M. Kaur, 2004. Role of small farmers in diversification of Punjab agriculture with vegetables. Indian Journal of Agricultural Marketing, 18(1): 80-88.
Sharma, K.R., P. Leung and H.M. Zaleski, 1999. Technical, allocative and economic efficiencies in swine production in Hawaii: A comparison of parametric and nonparametric approaches. Agricultural Economics, 20(1): 23–35.
Thompson, C.F., 2012. Swaziland business year book. Mbabane-Swaziland: Christina Forsyth Thompson.