Stochastic Frontier Production Function and Efficiency Status of Poultry Layer Farms in Malaysia
DOI:
https://doi.org/10.3923/ijps.2018.568.577Keywords:
Feed cost, layer farms, layer production, Malaysia, table eggsAbstract
Background and Objective: The high cost of production, in particular feed costs in poultry production, is alarming. This study was conducted to identify patterns of production and sources of waste in resource utilization. Materials and Methods: Stochastic frontier production function (SFPF) model was used to measure the output elasticities and investigate the inefficiency effect in Malaysia’s poultry layer farms. Results: Our findings reveal output elasticities of 1.461 (p<0.01), 0.275 (p<0.10), 0.048 and -0.130 (p<0.05), for day-old chicks (DOCs), labour, operation costs and feeds, respectively; DOCs is the only elastic input and the most important. The results show the presence of approximately 12% noise in poultry egg production. The study revealed overutilization of inputs (input slacks), with feeds (89.46%), labour (39.74%), operation costs (1.40%) and DOCs (1.34%) ranked as the first, second, third and fourth most over utilized inputs, respectively. Conclusion: To reduce inefficiency in poultry layer production, inputs should be reduced by the proportion of input slacks evaluated and farmers should strive to operate closed systems of layer production and update their knowledge and skills with the latest production and managerial techniques for improved efficiency and least-cost production. Finally, we recommend that farmers produce at a scale commensurate with the availability of inputs to achieve increases in scale efficiency.
References
Poultry Site, 2013. Global poultry trends: World egg production set a record despite slower growth. http://www.thepoultrysite.com/articles/2653/global-poultry-trends-world-egg-production-sets-a-record-despite-slower-growth/.
Wattagnet, 2010. Watt executive guide to world poultry trends. https://www.wattagnet.com/ext/resources/uploadedFiles/WattAgNet/Footer/Footer_Content/2010_Poultry_Trends.pdf.
Smith, A., 2011. Malaysian egg market set for continued growth. https://www.wattagnet.com/articles/10203-malaysian-egg-market-set-for-continued-growth.
Van Horne, P., 2013. Production costs of eggs at record high level. World Poultry. https://www.poultryworld.net/Eggs/Articles/2013/10/Production-costs-of-eggs-at-record-high-level-1315811W/.
Ariffin, A.S., S. Mohtar and N.H. Baluch, 2014. Broiler industry with emphasis on short supply chain in Malaysia. Proceedings of the 4th International Conference on Technology and Operations Management, August 18-19, 2014, Kuala Lumpur, Malaysia, pp: 34-46.
Raghavan, V., T. Chandran and S.H. Chan, 2002. Problems encountered in Malaysian egg production and quality. World Poult., 18: 26-29.
Aigner, D., C.A.K. Lovell and P. Schmidt, 1977. Formulation and estimation of stochastic frontier production function models. J. Econom., 6: 21-37.
Meeusen, W. and J. van den Broeck, 1977. Efficiency estimation from Cobb-Douglas production functions with composed error. Int. Econ. Rev., 18: 435-444.
Battese, G.E. and T.J. Coelli, 1995. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Econ., 20: 325-332.
Battese, G.E. and T.J. Coelli, 1993. A stochastic frontier production function incorporating a model for technical inefficiency effects. Working Papers in Econometrics and Applied Statistics No. 69, Department of Econometrics, University of New England, Armidale.
Villano, R.A. and E.M. Fleming, 2004. Analysis of technical efficiency in a rainfed lowland rice environment in central Luzon Philippines using a stochastic frontier production function with a heteroskedastic error structure. Working Papers 12906, University of New England, School of Economics.
Tone, K., 2011. Slacks-Based Measure of Efficiency. In: Handbook on Data Envelopment Analysis, Cooper, W.W., L.M. Seiford and J. Zhu (Eds.). Springer Science+Business Media, USA., pp: 195-210.
Charnes, A., W.W. Cooper, B. Golany, L.M. Seiford and J. Stutz, 1985. Foundations of data envelopment analysis for pareto-koopmans efficient empirical production functions. J. Econometr., 30: 91-107.
Tone, K., 2001. A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Operat. Res., 130: 498-509.
Torgersen, A.M., F.R. Forsund and S.A.C. Kittelsen, 1996. Slack-adjusted efficiency measures and ranking of efficient units. J. Prod. Anal., 7: 379-398.
Banker, R.D., A. Charnes and W.W. Cooper, 1984. Some models for estimating technical and scale Inefficiencies in data envelopment analysis. Manage. Sci., 30: 1078-1092.
Linh, V.H., 2012. Efficiency of rice farming households in Vietnam. Int. J. Dev. Issues, 11: 60-73.
Simar, L. and P.W. Wilson, 2000. A general methodology for bootstrapping in non-parametric frontier models. J. Applied Stat., 27: 779-802.
Gocht, A. and K. Balcombe, 2006. Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data. J. Agric. Econ., 35: 223-229.
Simar, L. and P.W. Wilson, 1998. Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Manage. Sci., 44: 49-61.
Kodde, D.A. and F.C. Palm, 1986. Wald criteria for jointly testing equality and inequality restrictions. Econometrica, 54: 1243-1248.
Ashagidigbi, W.M., S.A. Sulaiman and A. Adesiyan, 2011. Technical and allocative efficiency of poultry egg producers in Nigeria. Agric. J., 6: 124-130.
Adeyonu, A.G., A.O. Otunaiya and M.O. Bamiro, 2015. Technical efficiency of poultry egg production in Ibadan Metropolis, Oyo state, Nigeria. Economics, 4: 50-56.
Stevenson, R.E., 1980. Likelihood functions for generalized stochastic frontier estimation. J. Econ., 13: 57-66.
Coelli, T., D.S.P. Rao and G.E. Battese, 1998. An Introduction to Efficiency and Productivity Analysis. Kluwer Academic Publishers, Boston Dordrecht, London.
Nmadu, J.N., I.O. Ogidan and R.A. Omolehin, 2014. Profitability and resource use efficiency of poultry egg production in Abuja, Nigeria. Kasetsart J. Soc. Sci., 35: 134-146.
Adedeji, I.A., K.O. Adelalu, S.I. Ogunjimi and A.O. Otekunrin, 2013. Application of stochastic production frontier in the estimation of technical efficiency of poultry egg production in ogbomoso metropolis of oyo state, Nigeria. World J. Agric. Res., 1: 119-123.
Adepoju, A.A., 2008. Technical efficiency of egg production in Osun State. Int. J. Agric. Econ. Rural Dev., 1: 7-14.
Afolabi, O.I., D.A. Adegbite, O.F. Ashaolu and S.O. Akinbode, 2013. Profitability and resource-use efficiency in poultry egg farming in Ogun State, Nigeria. Afr. J. Bus. Manage., 7: 1536-1540.
Ojo, S.O., 2003. Productivity and technical efficiency of poultry egg production in Nigeria. Int. J. Poult. Sci., 2: 459-464.
Akinyemi, M., P.A. Okuneye and S.Y. Hosu, 2015. Profit efficiency of poultry egg production system in Ogun State, Nigeria. Sch. J. Bus. Admin., 5: 8-12.
Yusuf, S.A. and O. Malomo, 2007. Technical efficiency of poultry egg production in Ogun state: A Data Envelopment Analysis (DEA) approach. Int. J. Poult. Sci., 6: 622-629.
Padilla-Fernandez, M.D. and P.L. Nuthall, 2009. Technical efficiency in the production of sugar cane in central Negros area, Philippines: An application of data envelopment analysis. J. Int. Soc. Southeast Asian Agric. Sci., 15: 77-90.
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