Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-11T01:59:48.476Z Has data issue: false hasContentIssue false

Economic Efficiency in Organic Farming: Evidence from Cotton Farms in Viotia, Greece

Published online by Cambridge University Press:  28 April 2015

Vangelis Tzouvelekas
Affiliation:
Department of Economics, University of Crete, Greece
Christos J. Pantzios
Affiliation:
Department of Economics, University of Patras, Greece
Christos Fotopoulos
Affiliation:
Department of Farm Management, University of Ioannina, Greece

Abstract

Using recent advances in the stochastic production frontier framework, this paper presents an empirical analysis of technical, allocative and economic efficiency of a sample of organic and conventional cotton farms located in Greece. The results suggest that both farm types in the sample examined are technically, allocatively and economically inefficient. Farmer's age and education and farm size are important factors in explaining differentials in efficiency estimates. In comparative terms, organic farms exhibit lower efficiency scores vis-à-vis their conventional counterparts in terms of technical and economic efficiency; regarding allocative efficiency both farm types are almost equally inefficient. Low efficiency scores in both types of farming may be attributed to the respective intervention policies of the last 20 years.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Avgoulas, C. and Koutrou-Avgoula, A.. “Cotton.” In Developments and Perspectives in the Agricultural Sector eds Mergos, G. and Papageorgiou, K., pp. 85109Stamoulis publishers, Athens, 1997 (in Greek).Google Scholar
Battese, G.E.Frontier Production Functions and Technical Efficiency: A Survey of Empirical Applications in Agricultural Economics.” Agr. Econ. 7(1992): 185208.CrossRefGoogle Scholar
Battese, G.E.A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data.” Empir. Econ. 1995(20): 325332.CrossRefGoogle Scholar
Battese, G.E.Comment on ‘Efficiency Analysis with Panel Data: A Study of Portuguese Dairy Farms’.” Eur. Rev. Agr. Econ. 1998 (25): 259262.CrossRefGoogle Scholar
Battese, G.E. and Coelli, T.J.Prediction of Firm-Level Technical Efficiencies with a Generalized Frontier Production Function and Panel Data.” J. of Econ. (1988)38: 387399.Google Scholar
Bravo-Ureta, B.E. and Pinheiro, A.E.Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature.” Agr. Res. Econ. Rev. 1993(22): 88101.Google Scholar
Bravo-Ureta, B.E. and Rieger, L.Dairy Farm Efficiency Measurement Using Stochastic Frontiers and Neo-classical Duality.” Amer. J. Agr. Econ. 1991(73): 421428.CrossRefGoogle Scholar
Bravo-Ureta, B.E. and Evenson, R.E.Efficiency in Agricultural Production: The Case of Peasant Fanners in Eastern Paraguay.” Agr. Econ. 1994 (10): 2737.Google Scholar
Coelli, T.J.Recent Developments in Frontier Modeling and Efficiency Measurement.” Australian J. Agr. Econ. 1995 (39): 219245.Google Scholar
Coelli, T.J., Rao, R. and Battese, G.E.. “An Introduction to Efficiency and Productivity Analysis.“ Boston: Kluwer Academic Publishers, 1998.CrossRefGoogle Scholar
EU Regulation 2092/91, Gazette of the European Communities, Vol. L198/14, 22.7.91Google Scholar
EU Regulation 2078/92, Gazette of the European Communities, Vol. L215/90, 30.7.92Google Scholar
Farrell, M.J.The Measurement of Productive Efficiency.” J. Royal Statis. Soc. Series A, 1957 (120): 253281.Google Scholar
Feder, R., Just, R.E. and, Zilberman, D.Adoption of Agricultural Innovation in Developing Countries: A Survey.” Econ. Develop, and Cultural Change 1985(33): 255298.CrossRefGoogle Scholar
Greek Cotton Board. Report on Cotton Cultivation in 1996. Greek Cotton Board-Athens 1996 (in Greek).Google Scholar
Greene, W.H.The Econometric Approach to Efficiency Analysis.” In The Measurement of Productive Efficiency: Techniques and Applications, eds. Fried, H.O., Lovell, C.A.K. and Schmidt, P., 68119. New York: Oxford University Press, 1993.CrossRefGoogle Scholar
Hallam, D. and Machado, F.. “Efficiency Analysis with Panel Data: A Study of Portuguese Dairy Farms.” Eur. Rev. Agr. Econ. 1996 (23): 7993.Google Scholar
International Cotton Advisory Committee. “Growing Organic Cotton.” Washington: ICAC, 1996.Google Scholar
Jondrow, J., Lovell, C.A.K., Materov, I.S., and Schmidt, P.On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model.” J. Econometrics 1982(23): 269274.Google Scholar
Kalaitzandonakes, N.G.Price Protection and Productivity Growth.” Amer. J. Agr. Econ. 1994(76): 722-32.CrossRefGoogle Scholar
Kopp, R.J.The Measurement of Productive Efficiency: A Reconsideration.” Quar. J. of Econ. 1981 (96): 477503.CrossRefGoogle Scholar
Kopp, R.J. and Diewert, W.E.. “The Decomposition of Frontier Cost Function Deviations into Measures of Technical and Allocative Efficiency.” J. Econometrics 1982(19): 319331.Google Scholar
Kumbhakar, S.C., Biswas, B., and Bailey, D.V.. “A Study of Economic Efficiency of Utah Dairy Farmers: A Dual System Approach.” Rev. Econ. and Statis. 1989(71): 595604.Google Scholar
Kumbhakar, S.C., Ghosh, S., and McGuckin, J.T.A Generalised Production Frontier Approach for Estimating Determinants of Inefficiency in US Dairy Farms.” J. Bus. and Econ. Statis. 1991(9): 279286.Google Scholar
Kumbhakar, S.C. and Lovell, C.A.K.. Stochastic Frontier Analysis. Cambridge University Press: Cambridge, 2000.CrossRefGoogle Scholar
Maddala, G.S.Introduction to Econometrics New York: MacMillan, 1992.Google Scholar
Mundlak, Y.Endogenous Technical Change and the Measurement of Productivity.” In Agricultural Productivity Measurement and Explanation, eds Capalbo, S.M. and Antle, J.M.. Washington DC: Resources for the Future, 1988.Google Scholar
Reifschneider, D. and Stevenson, R.. “Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency.” Inter. Econ. Rev. 1991(32): 715723.Google Scholar
Seale, J.L. Jr.Estimating Stochastic Frontier Systems with Unbalanced Panel Data: The Case of Floor Tile Manufactories in Egypt.” J. Appl. Econometrics, 1990(5): 5974.Google Scholar
Sharma, K.R., Leung, P.S., and Zaleski, H.M.. “Technical, Allocative and Economic Efficiencies in Swine Production in Hawaii: A Comparison of Parametric and Nonparametric Approaches.” Agricultural Economics 1999(20): 2335.Google Scholar
Shepard, R.W.Theory of Cost and Production Functions. Princeton, New Jersey: Princeton University Press, 1970.Google Scholar
Taylor, T.G., Drammond, H.E., and Gomes, A.T.. “Agricultural Credit Programmes and Production Efficiency: An Analysis of Traditional Farming in Southeastern Minas Gérais, Brasil.” Amer. J. Agr. Econ. 1986(68): 110119.Google Scholar
Tzouvelekas, V. D.Giannakas, P. Midmore, and Mattas, K.. “Decomposition of Olive-Oil Production Growth into Productivity and Size Effects.” Annual Meetings of the American Agricultural Economics Association, Toronto 27-30 July, 1997.Google Scholar
Varian, H.R.Microeconomic Analysis. New York: W.W. Norton and Co., 1992.Google Scholar
Welch, F.Education in Production.” Journal of Political Economy (1970)8: 3559.CrossRefGoogle Scholar
Zellner, A., Kmenta, J., and Dreze, J.Specification and Estimation of Cobb-Douglas Production Function Models.” Econometrica 1966(34): 784795.CrossRefGoogle Scholar