EFFICIENCY OF MAIZE PRODUCTION IN THE NILE BASIN COUNTRIES: A PARAMETRIC APPROACH FOR EFFICIENCY MEASUREMENT
Article Sidebar
Published:
Mar 11, 2021
Keywords:
Cobb-Douglas, maize production, Nile basin countries, stochastic frontier, technical efficiency, Translog
Main Article Content
Abstract
In this study we employ the stochastic frontier approach to estimates the evolution of technical efficiency for maize production in the Nile basin countries. The study is based on a panel data at the countries level and it represents the time period 1993-2016. The results indicate improving in the levels of technical efficiency for maize production in the Nile basin countries during the time period 1993-2016. The annual levels of technical efficiency for the studied period vary from a minimum level of 0.5310 to a maximum level of 0.9601. The Nile basin countries that are less efficient in maize production should make some adjustments to their agricultural policies to improve the capacity of farmers to efficiently use the existing resources to increase maize production.
Downloads
Download data is not yet available.
Article Details
Section
Articles
References
Abdallah, A.H. and Abdul-Rahman A., 2017. Technical efficiency of maize farmers in Ghana: A stochastic frontier approach. International Journal of Innovation and Scientific Research 29 (2): 110-118.
Adhikari, S.P., Timsina, K.P., Brown, P.R., Ghimire, Y.N., and Lamichhane, J., 2018. Technical efficiency of hybrid maize production in eastern terai of Nepal: A stochastic frontier approach. Journal of Agriculture and Natural Resources 1(1): 189-196.
Aigner, D.J., Lovell, C.A.K., and Schmidt, P., 1977. Formulation and estimation of stochastic frontier
production function models. Journal of Econometrics 6 (1): 21-37.
Bajracharya, M. and Sapkota, M., 2017. Technical efficiency of certified maize seed in Palpa district, Nepal: A stochastic frontier production approach. Journal of Maize Research and Development 3 (1): 45-52.
Bati, M., Tilahun, M. and Parabathina, R.K., 2017. Economic efficiency in maize production in Ilu Ababor zone, Ethiopia. Research Journal of Agriculture and Forestry Sciences 5(12): 1-8.
Battese, G.E. and Coelli, T.J., 1992. Frontier production functions, technical efficiency and panel data:
With application to paddy farmers in India. Journal of Productivity Analysis 3: 153-169.
Battese, G.E., and Coelli, T.J., 1995. A model for technical inefficiency effects in a stochastic frontier
production function for panel data. Empirical Economics 20: 325-332.
Bogetoft, P. and Otto, L., 2011. Stochastic Frontier Analysis SFA. In: Benchmarking with DEA, SFA, and R. International Series in Operations Research & Management Science, vol 157. Springer, New York, NY.
Brada, J.C., King, A.E., Ma, C.Y., 1997. Industrial economics of the transition: determinants of enterprise efficiency in Czechoslovakia and Hungary. Oxf Econ Pap 49(1):104-127.
Chijioke, N. and Akaninyene, U., 2018. Profitability of improved seed adoption on smallholders maize farmers in Abuja Nigeria. Business and Management Studies 4(4): 71-81.
Coelli, T.J., 1996. A guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program.
CEPA Working Paper, No. 8/96, Centre for Efficiency and Productivity Analysis, University of New
England, Armidale, Australia.
Coelli, T.J., 1996. A guide to Frontier Version 4.1: A computer program for stochastic frontier
production and cost function estimation. CEPA Working Paper, No. 7/96, Centre for Efficiency and
Productivity Analysis, University of New England, Armidale, Australia.
Coelli, T.J., Rao, D.S.P., O’Donnell, C.J., and Battese, G.E., 2005. An Introduction to Efficiency and
Productivity Analysis. Second Edition. Springer, Heidelberg, Germany.
Coelli, T., and Perelman, S., 2000. Technical efficiency of European railways: A distance function
approach. Appl. Econ. 32: 1967–1976.
Coelli T., Rahman S., and Thirtle, C., 2003. A stochastic frontier approach to total factor productivity
measurement in Bangladesh crop agriculture, 1961-92. Journal of International Development 15: 321-
333.
CONABIO, 2017. Ecosystems and agro-biodiversity across small and large-scale maize production systems. TEEB Agriculture & Food, UNEP, Geneva.
FAO, 1997. Irrigation potential in Africa: A basin approach. Food and Agriculture Organization of the United Nations, FAO Land and Water Development Division, FAO Land and Water Bulletin 4.
FAOSTAT, 1993-2016. Statistics Division, Food and Agriculture Organization of the United Nations.
Felix, K.T., Gopal, S.M., Ashok, K.R., Panneerselvam, S. and Duraisamy, M.R., 2018. Technical efficiency of maize production in different vulnerable agro climatic zones of Tamil Nadu. Journal of Pharmacognosy and Phytochemistry 7(4): 498-502.
Headey, D., Alauddin, M., and Rao, D.S.P., 2010. Explaining agricultural productivity growth: An
international perspective. Agricultural Economics 41: 1-14.
Hossain, M.K., Kamil, A.A., Baten, M.A., and Mustafa, A., 2012. Stochastic frontier approach and
data envelopment analysis to total factor productivity and efficiency measurement of Bangladeshi rice.
PLOS ONE 7 (10).
Koopmans, T.C. (ed), 1951. An Analysis of Production as an Efficient Combination of Activities.
Activity Analysis of Production and Allocation. Cowles Commission for Research in Economics,
Monograph No. 13, Wiley, NY.
Lambarraa, F., Serra, T., and Gil, J.M., 2007. Technical efficiency analysis and decomposition of
productivity growth of Spanish olive farms. Spanish Journal of Agricultural Research 5 (3): 259-270.
Meeusen, W., and van den Broeck, J., 1977. Efficiency estimation from Cobb-Douglas production
functions with composed error. International Economic Review 18 (2): 435-444.
Miho, A., 2017. Comparing technical efficiency of maize smallholder farmers in Tabora and Ruvuma regions of Tanzania: A frontier production approach. Asian Journal of Agriculture and Rural Development 7(9): 180-197.
O’Donnell, C.J., and Coelli, T.J., 2005. A Bayesian approach to imposing curvature on distance
functions. J. Economet. 126: 493–523.
Ogunwande, I.O. and Ajila, A.S., 2018. Measurement of technical efficiency of small scale farmers under the growth enhancement scheme in Oyo state, Nigeria. MOJ Food Processing & Technology 6(2):189- 194.
Power, A.G., 2010. Ecosystem services and agriculture: tradeoffs and synergies. Phil Trans R Soc B 365 (1554): 2959-2971.
Salat, M. and Swallow, B., 2018. Resource use efficiency as a climate smart approach: Case of smallholder maize farmers in Nyando, Kenya. MDPI Environments 5(93): 1- 15.
Sissoko, K. Sangare, B.M. Tangara, M.B. and Mouleye, I.S., 2018. Socio-Economic, pedological and climate determinants of producers’ technical efficiency in Mali. Journal of Agriculture and Environmental Sciences 7(2): 54-63.
Siziba, S., Katema, T., Njerere, P., 2017. The Efficiency of smallholder maize production in Zimbabwe; an estimation of technical efficiency and its determinants. Journal of Economics and Sustainable Development 8(16): 85-94.
Tonini, A., 2012. A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries. Econ Change Restruct 45:247-269.
Usman, J., 2017. Technical efficiency in rain-fed maize production in Adamawa state Nigeria: Stochastic approach. International Journal of Environmental & Agriculture Research 3(7): 67-73.
Verheye, W., 2010. Growth and production of maize: traditional low-input cultivation. In: Verheye, W. (ed.), Land Use, Land Cover and Soil Sciences. Encyclopedia of Life Support Systems (EOLSS), UNESCO-EOLSS Publishers, Oxford, UK.
Zhang, W., Ricketts, T.H., Kremen, C., Carney, K. and Swinton, S., 2007. Ecosystem services and dis-services to agriculture. Ecol Econ 64 (2): 253-260.
Adhikari, S.P., Timsina, K.P., Brown, P.R., Ghimire, Y.N., and Lamichhane, J., 2018. Technical efficiency of hybrid maize production in eastern terai of Nepal: A stochastic frontier approach. Journal of Agriculture and Natural Resources 1(1): 189-196.
Aigner, D.J., Lovell, C.A.K., and Schmidt, P., 1977. Formulation and estimation of stochastic frontier
production function models. Journal of Econometrics 6 (1): 21-37.
Bajracharya, M. and Sapkota, M., 2017. Technical efficiency of certified maize seed in Palpa district, Nepal: A stochastic frontier production approach. Journal of Maize Research and Development 3 (1): 45-52.
Bati, M., Tilahun, M. and Parabathina, R.K., 2017. Economic efficiency in maize production in Ilu Ababor zone, Ethiopia. Research Journal of Agriculture and Forestry Sciences 5(12): 1-8.
Battese, G.E. and Coelli, T.J., 1992. Frontier production functions, technical efficiency and panel data:
With application to paddy farmers in India. Journal of Productivity Analysis 3: 153-169.
Battese, G.E., and Coelli, T.J., 1995. A model for technical inefficiency effects in a stochastic frontier
production function for panel data. Empirical Economics 20: 325-332.
Bogetoft, P. and Otto, L., 2011. Stochastic Frontier Analysis SFA. In: Benchmarking with DEA, SFA, and R. International Series in Operations Research & Management Science, vol 157. Springer, New York, NY.
Brada, J.C., King, A.E., Ma, C.Y., 1997. Industrial economics of the transition: determinants of enterprise efficiency in Czechoslovakia and Hungary. Oxf Econ Pap 49(1):104-127.
Chijioke, N. and Akaninyene, U., 2018. Profitability of improved seed adoption on smallholders maize farmers in Abuja Nigeria. Business and Management Studies 4(4): 71-81.
Coelli, T.J., 1996. A guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program.
CEPA Working Paper, No. 8/96, Centre for Efficiency and Productivity Analysis, University of New
England, Armidale, Australia.
Coelli, T.J., 1996. A guide to Frontier Version 4.1: A computer program for stochastic frontier
production and cost function estimation. CEPA Working Paper, No. 7/96, Centre for Efficiency and
Productivity Analysis, University of New England, Armidale, Australia.
Coelli, T.J., Rao, D.S.P., O’Donnell, C.J., and Battese, G.E., 2005. An Introduction to Efficiency and
Productivity Analysis. Second Edition. Springer, Heidelberg, Germany.
Coelli, T., and Perelman, S., 2000. Technical efficiency of European railways: A distance function
approach. Appl. Econ. 32: 1967–1976.
Coelli T., Rahman S., and Thirtle, C., 2003. A stochastic frontier approach to total factor productivity
measurement in Bangladesh crop agriculture, 1961-92. Journal of International Development 15: 321-
333.
CONABIO, 2017. Ecosystems and agro-biodiversity across small and large-scale maize production systems. TEEB Agriculture & Food, UNEP, Geneva.
FAO, 1997. Irrigation potential in Africa: A basin approach. Food and Agriculture Organization of the United Nations, FAO Land and Water Development Division, FAO Land and Water Bulletin 4.
FAOSTAT, 1993-2016. Statistics Division, Food and Agriculture Organization of the United Nations.
Felix, K.T., Gopal, S.M., Ashok, K.R., Panneerselvam, S. and Duraisamy, M.R., 2018. Technical efficiency of maize production in different vulnerable agro climatic zones of Tamil Nadu. Journal of Pharmacognosy and Phytochemistry 7(4): 498-502.
Headey, D., Alauddin, M., and Rao, D.S.P., 2010. Explaining agricultural productivity growth: An
international perspective. Agricultural Economics 41: 1-14.
Hossain, M.K., Kamil, A.A., Baten, M.A., and Mustafa, A., 2012. Stochastic frontier approach and
data envelopment analysis to total factor productivity and efficiency measurement of Bangladeshi rice.
PLOS ONE 7 (10).
Koopmans, T.C. (ed), 1951. An Analysis of Production as an Efficient Combination of Activities.
Activity Analysis of Production and Allocation. Cowles Commission for Research in Economics,
Monograph No. 13, Wiley, NY.
Lambarraa, F., Serra, T., and Gil, J.M., 2007. Technical efficiency analysis and decomposition of
productivity growth of Spanish olive farms. Spanish Journal of Agricultural Research 5 (3): 259-270.
Meeusen, W., and van den Broeck, J., 1977. Efficiency estimation from Cobb-Douglas production
functions with composed error. International Economic Review 18 (2): 435-444.
Miho, A., 2017. Comparing technical efficiency of maize smallholder farmers in Tabora and Ruvuma regions of Tanzania: A frontier production approach. Asian Journal of Agriculture and Rural Development 7(9): 180-197.
O’Donnell, C.J., and Coelli, T.J., 2005. A Bayesian approach to imposing curvature on distance
functions. J. Economet. 126: 493–523.
Ogunwande, I.O. and Ajila, A.S., 2018. Measurement of technical efficiency of small scale farmers under the growth enhancement scheme in Oyo state, Nigeria. MOJ Food Processing & Technology 6(2):189- 194.
Power, A.G., 2010. Ecosystem services and agriculture: tradeoffs and synergies. Phil Trans R Soc B 365 (1554): 2959-2971.
Salat, M. and Swallow, B., 2018. Resource use efficiency as a climate smart approach: Case of smallholder maize farmers in Nyando, Kenya. MDPI Environments 5(93): 1- 15.
Sissoko, K. Sangare, B.M. Tangara, M.B. and Mouleye, I.S., 2018. Socio-Economic, pedological and climate determinants of producers’ technical efficiency in Mali. Journal of Agriculture and Environmental Sciences 7(2): 54-63.
Siziba, S., Katema, T., Njerere, P., 2017. The Efficiency of smallholder maize production in Zimbabwe; an estimation of technical efficiency and its determinants. Journal of Economics and Sustainable Development 8(16): 85-94.
Tonini, A., 2012. A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries. Econ Change Restruct 45:247-269.
Usman, J., 2017. Technical efficiency in rain-fed maize production in Adamawa state Nigeria: Stochastic approach. International Journal of Environmental & Agriculture Research 3(7): 67-73.
Verheye, W., 2010. Growth and production of maize: traditional low-input cultivation. In: Verheye, W. (ed.), Land Use, Land Cover and Soil Sciences. Encyclopedia of Life Support Systems (EOLSS), UNESCO-EOLSS Publishers, Oxford, UK.
Zhang, W., Ricketts, T.H., Kremen, C., Carney, K. and Swinton, S., 2007. Ecosystem services and dis-services to agriculture. Ecol Econ 64 (2): 253-260.