A Stochastic Production Frontier Approach: Determinants of Technical Efficiency in Small Scale Tea Farmers

Joshua Mwanguhya^1, and William Ekere²

¹School of Education, Mountains of the Moon University, Fort Portal, Uganda

²Department of Agribusiness and Natural Resource Economics, Makerere University, Kampala, Uganda

Cite this paper:
Joshua Mwanguhya and William Ekere. A Stochastic Production Frontier Approach: Determinants of Technical Efficiency in Small Scale Tea Farmers. Journal of Applied Agricultural Economics and Policy Analysis. 2021; 4(1):47-53. doi: 10.12691/jaaepa-4-1-6

Abstract

Most small-scale tea farmers have still failed to produce a recommendable among of green tea yield per hectare with Ugandan tea out-growers producing half of what their counterparts produce per hectare in Kenya and Malawi. Using a random sampling technique 220 respondents were interviewed using structured questionnaires, 110 were small scale contract tea out growers while 110 were small scale non-contract tea out growers. A stochastic production frontier was used to estimate the technical efficiency scores of both categories of farmers and the technical efficiency scores were regressed against socio economic characteristics of the tea farmer using the Tobit model to determine which factors influence technical efficiency of small-scale tea farmers. The results indicated a significant mean score difference between technical efficiency of contract and non-contract tea out-growers. The results further established that, quantity of fertilizer used by contract and non-contract out-growers and access to credit were positive determinants of technical efficiency while age squared of the farmer, size of land under tea cultivation and off-farm income related activities were found to negatively affect technical efficiency scores. Policy makers should make further efforts in strengthening financial institutions like micro finance and other arrangements that can relax farmers' liquidity constraints and help them afford traditional inputs.

Keywords:
technical efficiency tea out-growers stochastic production frontier

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References:

[1]	Ministry of Agriculture, Animal Industry and Fisheries (MAAIF). (2010). Statistical Abstract. Ministry of Agriculture, Animal Industry and Fisheries, Entebbe, Uganda.
[2]	Bank of Uganda (BoU). 2011. Report on the Domestic Resource Cost ratios for Selected Export Commodities 2009/10. Bank of Uganda, Kampala, Uganda.
[3]	Baumann., P. (2000). Equity and Efficiency in Contract Farming Schemes: The Experience of Agricultural Tree Crops. London. Overseas Development Institute, Working Paper No. 139.
[4]	Kirsten. J and Sartorious. K (2002). Linking agribusiness and small-scale farmers in developing countries: Is there a new role for contract farming? Development Southern Africa, 19(4).
[5]	Oxfam International. (2002). The Tea Market – A background study. Oxfam International. London United Kingdom
[6]	Binam, J. N., Gockowski J., and Nkamleu G. B., (2008) Technical Efficiency and Productivity Potential of Cocoa Farmers in West African Countries, The Developing Economies, 44(3): 242-63.
[7]	Dzene, R. (2010). “What drives efficiency on the Ghanian cocoa farms?” Working paper, Ghana Institute of management and Public Administration, Accra, Ghana
[8]	Rahman S. (2003). Profit Efficiency among Bangladeshi Rice Farmers. Food Policy, 28, 487-503.
[9]	Chavas, J. P., Petrie, R. and Roth., M. (2005). Farm Household Production Efficiency: Evidence from the Gambia. American Journal of Agricultural Economics, 87(1), 160-179.
[10]	Coelli, T.J, Rao, D.S.P., Battese, G.E., (2005). An Introduction to Efficiency and Productivity Analysis. 2nd edition, Kluwer Academic Publishers, Boston.
[11]	Battese G E and Coelli. T (1995) A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data; Empirical economics vol. 20, issue 2, 325-32.
[12]	Battese, G. E. & G. S. Corra (1977): “Estimation of a Production Frontier Model: With Application to the Pastoral Zone of Eastern Australia”. Australian Journal of Agricultural Economics 21: pp. 169-179.
[13]	Baten Md. Azizul, A. A., Kamil and Mohammad A, Haque (2009). Modeling technical inefficiencies effects in a stochastic frontier production function for panel data. African Journal of Agricultural Research, 4(12), 1374-1382.
[14]	Ojo., S. O. (2003). Productivity and Technical Efficiency of Poultry Egg Production in Nigeria: Department of Agricultural Economics and Extension, Federal University of Technology. International Journal of poultry Science, 2(6), 459-464.
[15]	Tobin J (1958) Estimation of Relationships for Limited Dependent Variables” Econometrica, 26(1): 24-36.
[16]	Dadizie, S.K. N., & Dasmani, I. (2010). Gender Difference and Farm Level Efficiency: Matafrontier Production Function Approach. Journal of Development and agricultural Economics, 2(12), 441-451.
[17]	Chirwa E.W (2007). Sources of Technical Efficiency among Smallholder Maize Farmers in Southern Malawi. AERC Research Paper 172. African Economic Research Consortium, Nairobi, Kenya.
[18]	Asefa S. (2011). Analyzing Technical Efficiency of crop producing smallholder farmers in Tigray region, Ethiopia, Stochastic Frontier Analysis, MPRA Paper No. 40461.
[19]	Kaiser, Harry M. (1998). Relative Efficiencies of Size and Implications for Land Redistribution Programs in the Dominican Republic. Applied Agricultural Research 3 (3): 144-52.
[20]	Sharma K. R.P. Leung and H.M. Zaleskib. (1999). Technical, Allocative and Economic Efficiencies in Swine Production in Hawaii: A Comparison of Parametric and Nonparametric Approaches. Agricultural Economics. 20 (I), 23-35.
[21]	Chiona., S. (2011). Technical and allocative efficiency of smallholder maize farmers in Zambia. A masters’ thesis submitted to the University of Zambia
[22]	Kyei L, Foli G, Ankoh J (2011). Analysis of factors affecting the technical efficiency of cocoa farmers in the Offinso District-Ashanti Region, Ghana. American Journal of Social and Management Science 2(2):208-216.
[23]	Kibaara W. B, (2005). Technical Efficiency in Kenyan’s Maize Production: An Application of the Stochastic Frontier Approach: Msc. Thesis Department of Agricultural and Resource Economics Colorado State University Fort Collins, Colorado: USA.
[24]	Obwona, M. (2006). Determinants of Technical Efficiency Differentials amongst Small and Medium Scale Farmers in Uganda: A Case of Tobacco Growers
[25]	Sentumbwe S, (2007). Intra-House Labor Allocation and Technical Efficiency among Groundnuts Producers in Eastern Uganda. MSc. Thesis, Makerere University Kampala Uganda.
[26]	Kibirige D (2008) Analysis of the Impact of the Agricultural Productivity Enhancement Program on the Technical and Allocative Efficiency of Maize Farmers in Masindi District. A Master’s Thesis. Makerere University.
[27]	Kinde.T. (2005) Technical Efficiency of Maize Production: A Case of Smallholder Farmers in Assosa Woreda.
[28]	Gebrehawaria, G. (2008). Technical Efficiency of Irrigated and Rain-Fed Smallholder Agriculture in Tigray, Ethiopia: A Comparative Stochastic Frontier Production Function Analysis.