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An application of the double-bootstrap data envelopment analysis to investigate sources of efficiency in the Greek poultry sector

Published online by Cambridge University Press:  18 November 2011

I. KERAMIDOU  and
A. MIMIS
I. KERAMIDOU*
Affiliation:
Department of Economic and Regional Development, Panteion University of Social and Political Sciences, Athens, Greece
A. MIMIS
Affiliation:
Department of Economic and Regional Development, Panteion University of Social and Political Sciences, Athens, Greece
*
Corresponding author: [email protected]
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Abstract

This paper reviews a double-bootstrap data envelopment analysis of the performance of the Greek poultry sector for the period of 1994-2007. The purpose for implementing this method is to obtain consistent inferences in measuring technical efficiency and in identifying its determinants. The findings suggest that on average, technical inefficiency is present in the Greek poultry industry. Under the variable return to scale specification, technical efficiency decreased to 90% in 2007 from 94% in 1994. In order to explain the factors influencing technical efficiency, the efficiency scores estimated in this study were regressed by using specific variables of sample firms and industry context. The results of the regression analysis show statistically significant positive impacts on performance are factors like market size, productive flexibility and being a member of a firm group, with size and innovation activity of the firm being negative influences. In contrast, the integration of Greece into European Economic and Monetary Union and several other capabilities of firms, related to age, vertical integration, capital intensity and skill of employees, did not have any influence. These results may help managers and policy-makers to determine adequate policies and practices for achieving performance.

Keywords

economicsmarketingmeatmodellingdeveloping countries
Type
Review Article
Information
World's Poultry Science Journal , Volume 67 , Issue 4 , December 2011 , pp. 675 - 686
Copyright
Copyright © World's Poultry Science Association 2011

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References

AMIT, R. and SCHOEMAKER, P.J.H. (1993) Strategic assets and organisational rent. Strategic Management Journal 14: 33-46.CrossRefGoogle Scholar
ASSAF, A.G., BARROS, C.P. and DIEKE, P. (2011) Portuguese tour operators: A fight for survival. Journal of Air Transport Management 17 3: 155-157.CrossRefGoogle Scholar
BADUNENKO, O. (2010) Downswing in German Chemical Manufacturing Industry during the 1990s. Why Small is Beautiful?. Small Business Economics 34: 413-431.CrossRefGoogle Scholar
BAIN, J. S. (1956) Barriers to new competition. Harvard University Press, Cambridge.CrossRefGoogle Scholar
BALCOMBE, K., FRASER, I., LATRUFFE, L., RAHMAN, M. and SMITH, L. (2008) An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming. Applied Economics 40 15: 1919-1925.CrossRefGoogle Scholar
BALTEIRO, L.D., HERRUZO, A.C., MARTINEZ, M. and PACHON, J.G. (2006) An analysis of productive efficiency and innovation activity using DEA: An application to Spain's wood-based industry. Forest Policy and Economics 8: 762-773.CrossRefGoogle Scholar
BANKER, R.D., CHARNES, A. and COOPER, W.W. (1984) Some Models for Estimating Technical and Scale Efficiencies in Data Envelopment Analysis. Management Science 30(9): 1078-1092.CrossRefGoogle Scholar
BARNEY, J.Β. (1991) Company resources and sustained competitive advantage. Journal of Management 17: 99-120.CrossRefGoogle Scholar
BARROS, C.P., BOTTI, L., PEYPOCH, N. and SOLONANDRASANA, B. (2009) Managerial efficiency and hospitality industry: the Portuguese case. Applied Economics First published on: 23 July 2009 (iFirst).CrossRefGoogle Scholar
BEGUM, I.A, BUYSSE, J., ALAM, M.J. and HUYLENBROECK, G.V. (2010) Technical, allocative and economic efficiency of commercial poultry farms in Bangladesh. World's Poultry Science Journal 66: 465-476.CrossRefGoogle Scholar
BOYER, R. and FREYSSENET, M. (2000) Les modèles productifs. Repères La Découverte, Paris.CrossRefGoogle Scholar
CEYHAN, V.T. and HAZNECI, K. (2010) Economic Efficiency of Cattle-Fattening Farms in Amasya Province, Turkey . Journal of Animal and Veterinary Advances 9: 60-69.Google Scholar
COASE, R.H. (1937) The Nature of the Company. Economica 4 16: 386-405.CrossRefGoogle Scholar
COELLI, T.J., RAO, D.S.P., O' DONNELL, C.J. and BATTESSE, G.E. (2005) An Introduction to Efficiency and Productivity Analysis. 2nd ed., Springer, New York.Google Scholar
FOTINOPOULOU, K. and KERAMIDOU, I. (2006) Survey on Competitiveness and Employment in Greek Food Processing Industry. Panteion University, Athens.Google Scholar
GONCHARUK, A.G. (2009) How to Make Meat Business More Effective: A Case of Ukraine. British Food Journal 111: 583-597.CrossRefGoogle Scholar
GRANT, R.M. (2002) Contemporary strategy Analysis. 4th ed., Blackwell Publishers Inc. Oxford.Google Scholar
HELFAT, C.E. and and PETERAF, M.A. (2003) The dynamic resource-based view: Capability lifecycles. Strategic Management Journal 24: 997-1010.CrossRefGoogle Scholar
ICAP HELLAS, (2007) Study on Meat Sector. ICAP, Athens.Google Scholar
JENSEN, M.C. (1986) Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers. American Economic Review 76 2: 323-329.Google Scholar
KRAVTSOVA, V. (2008) Foreign Presence and Efficiency in Transition Economies. Journal of Productivity Analysis 29: 91-102.CrossRefGoogle Scholar
KUMAR, J. (2003) Ownership structure and corporate company performance. Technical Report 0304004, EconWPA.Google Scholar
LATRUFFE, L., DAVIDOVA, S. and BALCOMBE, K. (2008) Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe. Journal of Productivity Analysis 29 2: 183-191.CrossRefGoogle Scholar
LEIBENSTEIN, H. (1966) Allocative efficiency vs. ‘x-efficiency’.’ The American Economic Review 56 3: 392-415.Google Scholar
LIN, C., Y., , MA, and SUD, D. (2009) Corporate Governance and Company Efficiency: Evidence from China's Publicly Listed Companies. Managerial and Decision Economics 30: 193-209.CrossRefGoogle Scholar
NELSON R.R., WINTER S.G. (1982) An evolutionary theory of economic change. The Belknap Press of Harvard University Press, Cambridge.Google Scholar
NEWBERT, S.L. (2008) Value, rareness, competitive advantage, and performance: A conceptual-level empirical investigation of the resource-based view of the company. Strategic Management Journal 29 7: 745-768.CrossRefGoogle Scholar
ODECK, J. (2009) Statistical precision of DEA and Malmquist indices: A bootstrap application to Norwegian grain producers. Omega 37 5: 1007-1017.CrossRefGoogle Scholar
ORNAGHI, C. (2006) Spillovers in product and process innovation: Evidence from manufacturing companies. International Journal of Industrial Organisation24: 349-380.CrossRefGoogle Scholar
PENROSE, E.T. (1959) The Theory of the Growth of the Company. Basil Blackwell, Oxford.Google Scholar
PORTER, M. (1985) Competitive advantage: creating and sustaining superior performance. Free Press, New York.Google Scholar
PRAHALAD, C.K. and HAMEL, G. (1990) The core competence of the corporation. Harvard Business Review 68 3: 79-91.Google Scholar
RUMELT, R. (1991) How much does industry matter?. Strategic Management Journal 12: 167-85.CrossRefGoogle Scholar
SIMAR, L. and WILSON, P.W. (1998) Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models. Management Science 44: 49-61.CrossRefGoogle Scholar
SIMAR, L. and WILSON, P.W. (2000) Bootstrapping in Non-Parametric Frontier Models. Journal of Applied Statistics 27: 779-802.CrossRefGoogle Scholar
SIMAR, L. and WILSON, P.W. (2007) Estimation and Inference in Two-Stage, Semi-Parametric Models of Production Processes. Journal of Econometrics 136: 31-64.CrossRefGoogle Scholar
SIMPSON, P.M., SIGUAW, J.A. and ENZ, C.A. (2006) Innovation orientation outcomes: the good and the bad. Journal of Business Research 59: 1133-1141.CrossRefGoogle Scholar
TEECE, D., PISANO, G. and SHUEN, A. (1997) Dynamic capabilities and strategic management. Strategic Management Journal 18(7): 509-533.3.0.CO;2-Z>CrossRefGoogle Scholar
THORNHILL, S. (2006) Knowledge, innovation and company performance in high- and low-technology regimes, Journal of Business Venturing 21 5: 687-703.CrossRefGoogle Scholar
WERNERFELT, B. (1984) A resource-based view of the company. Strategic Management Journal 5: 171-180.CrossRefGoogle Scholar
WILLIAMSON, O.E. (1975) Markets and hierarchies. Free Press, New York.Google Scholar
VASILIEV, N., ASTOVER, A., MOTTE, M., NOORMETS, M., REINTAM, E. and ROOSTALU, H. (2008) Efficiency of Estonian grain farms in 2000-2004. Agricultural and Food Science 17: 31-40.CrossRefGoogle Scholar
YUSUF, S.A. and MALOMO, O. (2007) Technical Efficiency of Poultry Egg Production in Ogun State: A Data Envelopment Analysis (DEA) Approach. International Journal of Poultry Science 6: 622-629.CrossRefGoogle Scholar