Hide
Show all
Email this article Technical Efficiency of Food Crop Production (Sorghum and Millet) in North Kordofan state, Sudan
Abstract
Abstract: The objective of this paper was to measure technical efficiency, and identification of factors that influence technical efficiency of food crops production (sorghum and millet) in traditional rainfed sector in North Kordofan state, Sudan. Data were collected from 205 farmers selected by distributing structural questionnaire following stratified random sampling techniques due to socio-economic characteristic and homogeneity of North Kordofan population. A stochastic frontier production function, using the maximum likelihood estimation (MLE) technique was applied in the analysis of data collected during the season 2011-2012. The results show that the numbers of sowing, labor, fertilizer and rainfall have a significant negative effects in sorghum and millet, while years of experience show a positive significant for both. In addition to that the (MLE) reveal that the mean technical efficiency of sorghum and millet 0.56 and 0.74, respectively. This means, there are ranges for increasing sorghum and millet production by 44% and 26%, respectively, from a given mix of production inputs by adopting technologies used with the best practice if the farmer’s are technically efficient. In other words, on average; about 44 %and 26% of production are lost because of inefficiencies.
Keywords
Full Text:
PDFReferences
Ahmed, A. El. (2004). Economic analysis of the irrigated cotton production constraints in Sudan (Gezira Scheme), department of agricultural economics and social sciences, Justus-Liebig University Giessen, Germany.
Aigner, D., Lovell, C. A., & Schmidt, P. (1997). Formulation and estimation of stochastic frontier production models. Journal of Econometrics; 6, 21–37.
Bravo, B., & Antonio, P. (1993). Efficiency analysis of developing country agriculture. A review of the frontier function literature. Agric. Resour. Econ. Rev., 22, 88-101.
Coelli, T. J. & Battese, G. (1996). Identification of factors which influence the technical inefficiency of Indian farmers; American Journal of Agricultural Economics; 40(2):103–128.
Coelli, T. J. (1994). A guide to frontier 4.1. A computer programme for stochastic frontier production and cost function estimation; Department of Econometrics, University of New England, Armidale, NSW 2351, Australia.
Coelli, T.J. (1996). A guide to frontier version 4.1c, A computer programme for stochastic frontier production and cost function estimation”: Working paper 96/07, Centre for Efficiency and Productivity Analysis Dept. of Econometrics, University of New England, Armidale, Australia.
Coelli, T.J., Prasada, Rao., D, S., & Battese, G.E. (1998). An introduction to efficiency and productivity Analysis. Kluwer Academic Publishers, Boston/Dordrecht.
FAO &SISFA. (2010). Assessment mission report for crop production and food security assessment for the northern states of Sudan.
Farrell, J.M. (1957). The measurement of productive efficiency” Journal Royal stats .506 volume 120, Part III pp 253—290.
International Fund for Agricultural Development. (2002). Annual Report. Lusaka.
Meeusen, W., & van den Broeck, J.(1997). Efficiency estimates from Cobb-Douglas production function with composed error; International Economic Review; 18:435– 444.
Ministry of Finance- North Kordofan State, 2006).
Mohamed, I.E.I., Ahmed. A. E., & Khalid. Siddig. (2008). Technical efficiency of producing sorghum in Kordofan state, A case of Habila mechanized rainfed sector, Bangladesh Journal for agricultural science, volume 35.No.1.ISSN 0379-4296.
Phillips, Joseph. M., & Robert, P. Marble. (1986).Farmer education and efficiency: A Frontier production function approach. Economics of Education Review 5, no. 3: 257–64.
Refbacks
- There are currently no refbacks.
Copyright (c) 2015 The Journal of Agriculture and Natural Resources Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.