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Technical indicators of economic performance in dairy sheep farming

Published online by Cambridge University Press:  25 October 2013

A. Theodoridis*
Affiliation:
Faculty of Veterinary Medicine, Laboratory of Animal Production Economics, Aristotle University of Thessaloniki, 54124, PO Box 410, Thessaloniki, Greece
A. Ragkos
Affiliation:
Department of Rural Development and Agribusiness Management, Alexander Technological Educational Institute of Thessaloniki, Sindos, 57400 Thessaloniki, Greece
D. Roustemis
Affiliation:
Department of Agricultural Development, Democritus University of Thrace, Pantazidou 193, 68200 Orestiada, Greece
G. Arsenos
Affiliation:
Faculty of Veterinary Medicine, Laboratory of Animal Husbandry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Z. Abas
Affiliation:
Department of Agricultural Development, Democritus University of Thrace, Pantazidou 193, 68200 Orestiada, Greece
E. Sinapis
Affiliation:
Faculty of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
*
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Abstract

In this study, the level of technical efficiency of 58 sheep farms rearing the Chios breed in Greece was measured through the application of the stochastic frontier analysis method. A Translog stochastic frontier production function was estimated using farm accounting data of Chios sheep farms and the impact of various socio-demographic and biophysical factors on the estimated efficiency of the farms was evaluated. The farms were classified into efficiency groups on the basis of the estimated level of efficiency and a technical and economic descriptive analysis was applied in order to illustrate an indicative picture of their structure and productivity. The results of the stochastic frontier model indicate that there are substantial production inefficiencies among the Chios sheep farms and that these farms could increase their production through the improvement of technical efficiency, whereas the results of the inefficiency effects model reveal that the farm-specific explanatory factors can partly explain the observed efficiency differentials. The measurement of technical inefficiency and the detection of its determinants can be used to form the basis of policy recommendations that could contribute to the development of the sector.

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Copyright
Copyright © The Animal Consortium 2013 

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References

Abdelqadera, A, Al Yacoubb, A and Gauly, M 2012. Factors influencing productive longevity of Awassi and Najdi ewes in intensive production systems at Arid regions. Small Ruminant Research 104, 3744.CrossRefGoogle Scholar
Aigner, DJ, Lovell, CAK and Schmidt, P 1977. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6, 2137.Google Scholar
Αlvarez, Α, Arias, C and Greene, W 2004. Accounting for unobservables in production models: management and inefficiency. Economic Working Papers at Centro de Estudios Andaluces, E2004/72, Centro de Estudios Andaluces, Seville, Spain.Google Scholar
Battese, GE and Coelli, TJ 1988. Prediction of firm-level technical inefficiencies with a generalized frontier production function and panel data. Journal of Econometrics 38, 387399.CrossRefGoogle Scholar
Battese, GE and Coelli, TJ 1995. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics 20, 325332.Google Scholar
Battese, GE and Broca, SS 1997. Functional forms of stochastic frontier production functions and models for technical inefficiency effects: a comparative study for wheat farmers in Pakistan. Journal of Productivity Analysis 8, 395414.CrossRefGoogle Scholar
Farrell, MJ 1957. The measurement of productive efficiency. Journal of the Royal Statistical Society A 120, 253281.Google Scholar
Fousekis, P, Spathis, P and Tsiboukas, K 2001. Assessing the efficiency of sheep farming in mountainous areas of Greece. A non parametric approach. Agricultural Economics Review 2, 515.Google Scholar
Fried, HO, Knox Lovell, CA and Schmidt, SS (eds) 2008. The Measurement of productive efficiency: techniques and applications. Oxford University Press, New York, New York, USA.Google Scholar
Furesi, R, Madau, FA and Pulina, P 2011. Technical efficiency in the sheep dairy industry: an application on the sardinian (Italy) sector. Paper presented at the European Association of Agricultural Economists 2011 Congress, 30 August to 2 September, 2011, Zurich, Switzerland.Google Scholar
Gelasakis, AI, Valergakis, GE, Fortomaris, P and Arsenos, G 2010. Farm conditions and production methods in Chios sheep flocks. Journal of Hellenic Veterinary Medical Society 61, 111119.CrossRefGoogle Scholar
Green, W 2008. The Econometric approach to efficiency analysis. In The measurement of productive efficiency: techniques and applications (ed. HO Fried, CA Knox Lovell and SS Schmidt), pp. 92250. Oxford University Press, New York, New York, USA.Google Scholar
Hellenic Statistical Authority 2008. Greek Livestock, Annual Report 2007 (in Greek).Google Scholar
Jondrow, J, Lovell, CAK, Materov, IS and Schmidt, P 1982. On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics 19, 233238.Google Scholar
Karagiannis, G and Tzouvelekas, V 2005. Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece. European Review of Agricultural Economics 32, 5174.CrossRefGoogle Scholar
Karagiannis, G, Tsionas, E and Tzouvelekas, V 2005. Efficiency in damage control inputs: a stochastic production frontier approach. Paper presented at the XIth Congress of the European Association of Agricultural Economists, 23–27 August 2005, Copenhagen, Denmark.Google Scholar
Kodde, DA and Palm, FC 1986. Wald criteria for jointly testing equality and inequality restrictions. Econometrica 54, 12431248.CrossRefGoogle Scholar
Koopmans, TC 1951. Analysis of production as an efficient combination of activities. In Activity analysis of production and allocation (ed. TC Koopmans), pp. 3397, Wiley, New York, New York, USA.Google Scholar
Kumbhakar, SC and Lovell, C 2000. Stochastic frontier analysis. Cambridge University Press, Cambridge, United Kingdom.Google Scholar
Kumbhakar, S, Ghosh, S and McGuckin, JT 1991. A generalized production frontier approach for estimating determinants of inefficiency in US dairy farms. Journal of Business and Economic Statistics 9, 279286.Google Scholar
Ligda, CH, Gabriilidis, G, Papadopoulos, TH and Georgoudis, A 2000. Estimation of genetic parameters for production traits of Chios sheep using a multitrait animal model. Livestock Production Science 66, 217221.Google Scholar
Meeusen, W and van den Broeck, J 1977. Efficiency estimation from Cobb–Douglas production functions with composite error. International Economic Review 18, 435444.Google Scholar
Mekkawy, W, Roehe, R, Lewis, RM, Davies, MH, Bünger, L, Simm, G and Haresign, W 2009. Genetic relationship between longevity and objectively or subjectively assessed performance traits in sheep using linear censored models. Journal of Animal Science 87, 34823489.Google Scholar
Melfou, K, Theocharopoulos, A and Papanagiotou, E 2009. Assessing productivity change with SFA in the sheep sector of Greece. Operational Research: An International Journal 9, 281292.CrossRefGoogle Scholar
Michailidis, G, Avdi, M and Pappa, V 2007. Reproductive performance and investigation of BMPR-IB and BMP-15 gene mutations in Greek Chios and Florina sheep breeds. Archiva Zootechnica 11, 2431.Google Scholar
Nuthall, P 2010. Farm business management: the human factor. CAB International, Oxfordshire, UK.Google Scholar
Psychoudakis, A and Theodoridis, A 2006. Full scale application of DEA to sheep-goat farming in Greece. Agricoltura Mediterranea 136, 5262.Google Scholar
Puig-Junoy, J 2001. Technical inefficiency and public capital in U.S. states: a stochastic frontier approach. Journal of Regional Science 41, 7596.Google Scholar
Sharif, N and Dar, A 1996. An Empirical study of the patterns and sources of technical inefficiency in traditional and HYV rice cultivation in Bangladesh. Journal of Development Studies 32, 612629.Google Scholar
Sharma, KR, Leung, P and Zalenski, HM 1997. Productive efficiency of the swine industry in Hawai: stochastic frontier vs. data envelopment analysis. Journal of Productivity Analysis 8, 447459.CrossRefGoogle Scholar
Shomo, F, Ahmed, M, Shideed, K, Aw-Hassan, A and Erkan, O 2010. Sources of technical efficiency of sheep production systems in dry areas in Syria. Small Ruminant Research 91, 160169.Google Scholar
Suresh, A, Gupts, DC and Mann, JS 2008. Returns and economic efficiency of sheep farming in semi-arid regions: a study in Rajasthan. Agricultural Economics Research Review 21, 227234.Google Scholar
Theocharopoulos, A, Melfou, K and Papanagiotou, E 2007. A microeconomic approach for agricultural development: a DEA application to Greek sheep farms. New Medit 4, 4853.Google Scholar
Toro-Mujica, P, García, A, Gómez-Castro, AG, Acero, R, Perea, J, Rodríguez-Estévez, V, Aguilar, C and Vera, R 2011. Technical efficiency and viability of organic dairy sheep farming systems in a traditional area for sheep production in Spain. Small Ruminant Research 100, 8995.Google Scholar
Tzouramani, I, Sintori, A, Liontakis, A, Karanikolas, P and Alexopoulos, G 2011. An assessment of the economic performance of organic dairy sheep farming in Greece. Livestock Science 141, 136142.Google Scholar
Valergakis, GE, Arsenos, G, Basdagianni, Z and Banos, G 2008. Grouping strategies and lead factors for ration formulation in milking ewes of the Chios breed. Livestock Science 115, 211218.Google Scholar
Valergakis, GE, Gelasakis, AI, Oikonomou, G, Arsenos, G, Fortomaris, P and Banos, G 2010. Profitability of a dairy sheep genetic improvement program using artificial insemination. Animal 4, 16281633.Google Scholar
Zygoyiannis, D 2006. Sheep production in the world and in Greece. Small Ruminant Research 62, 143147.Google Scholar