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A Stochastic Frontier Approach for Measuring Technical Efficiencies of Date Farms in Southern Tunisia

Published online by Cambridge University Press:  15 September 2016

Mounir Belloumi
Affiliation:
Economic Sciences in the Faculty of Law, Economics, and Political Sciences at the University of Sousse in Sousse, Tunisia
Mohamed Salah Matoussi
Affiliation:
Economic Sciences in the Faculty of Economic Sciences and Management at the University of EI Manar in Tunis, Tunisia
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Abstract

The main objective of this research is to compare estimates of technical efficiency obtained from the stochastic frontier approach for two samples of farmers of private and water user associations in the Nefzaoua Oases region (Tunisia), which are characterized by a severe scarcity of water and especially a high degree of salinity. Technical inefficiency effects are modeled as a function of farm-specific socioeconomic factors. Results suggest that both systems are technically inefficient. On average, the private system is found to be slightly more efficient than the associative one. Date yield could be explained mainly by four variables: water quantity applied per palm tree, labor per palm tree, phosphate per palm tree, and water salinity. Output elasticities of all inputs are found to be positive and significant except for the farmyard manure. Water salinity has a considerable negative impact on date productivity. For the technical inefficiency model, none of the socioeconomic variables seem to matter.

Type
Contributed Papers
Copyright
Copyright © 2006 Northeastern Agricultural and Resource Economics Association 

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References

Ahmad, M., and Bravo-Ureta, B. 1996. “Technical Efficiency Measures for Dairy Farms Using Panel Data: A Comparison of Alternative Model Specifications.” Journal of Productivity Analysis 7(4): 399416.CrossRefGoogle Scholar
Aigner, D. J., Lovell, C.A.K., and Schmidt, P. 1977. “Formulation and Estimation of Stochastic Frontier Production Models.” Journal of Econometrics 6(1): 2137.Google Scholar
Bagi, F. S., and Huang, C. J. 1983. “Estimation Production Technical Efficiency for Individual Farms in Tennessee.” Canadian Journal of Agricultural Economics 31(2): 249256.CrossRefGoogle Scholar
Bakhshoodeh, M., and Thomson, K. J. 2001. “Input and Output Technical Efficiencies of Wheat Production in Kerman, Iran.” Agricultural Economics 24(3): 307313.CrossRefGoogle Scholar
Battese, G. E., and Coelli, T.J. 1988. “Prediction of Firm-Level Technical Efficiencies with a Generalized Frontier Production Function and Panel Data.” Journal of Econometrics 38(3): 387399.CrossRefGoogle Scholar
Battese, G. E., and Coelli, T.J. 1992. “Frontier Production Functions, Technical Efficiency Effects and Panel Data: With Application to Paddy Farmers in India.” Journal of Productivity Analysis 3(1/2): 153169.CrossRefGoogle Scholar
Battese, G. E., and Coelli, T.J. 1995. “A Model for Technical Inefficiency Effects in Frontier Production Function for Panel Data.” Empirical Economics 20(2): 325338.Google Scholar
Battese, G. E., Coelli, T.J., and Colby, T. C. 1989. “Estimation of Frontier Production Functions and the Efficiencies of Indian Farms Using Panel Data from ICRISAT's Village Level Studies.” Journal of Quantitative Economics 5(2): 327348.Google Scholar
Battese, G. E., and Corra, G. S. 1977. “Estimation of a Production Frontier Model: With Application to the Pastoral Zone of Eastern Australia.” Australian Journal of Agricultural Economics 21(3): 169179.Google Scholar
Bravo-Ureta, B. E., and Rieger, L. 1990. “Alternative Production Frontier Methodologies and Dairy Farm Efficiencies.” Journal of Agricultural Economics 41(2): 215226.CrossRefGoogle Scholar
Chiang, W. H., and Kinzelbach, W. 2001. 3D-Groundwater Modeling with PMWIN: A Simulation System for Modeling Groundwater Flow and Pollution. Berlin: Springer.Google Scholar
Coelli, T. 1995. “Recent Developments in Frontier Modeling and Efficiency Measurement.” Australian Journal of Agricultural Economics 39(3): 219245.Google Scholar
Coelli, T. 1996. “A Guide to FRONTIER Version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation.” CEPA Working Paper No. 96/07. Centre for Efficiency and Productivity Analysis, University of New England, Armidale, New South Wales, Australia.Google Scholar
Food and Agriculture Organization (FAO). 2004. Agricultural Statistical Database. Food and Agricultural Organization of the United Nations, Rome.Google Scholar
Huang, C. J., and Bagi, F. S. 1984. “Technical Efficiency on Individual Farms in Northwest India.” Southern Economic Journal 51(1): 108115.CrossRefGoogle Scholar
Jondrow, J., Lovell, C.A.K., Materov, I. S., and Schmidt, P. 1982. “On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model.” Journal of Econometrics 19(2/3): 233238.Google Scholar
Kalirajan, K. 1981. “An Econometric Analysis of Yield Variability in Paddy Production.” Canadian Journal of Agricultural Economics 29(2): 283294.Google Scholar
Kalirajan, K. 1982. “On Measuring Yield Potential of the High Yielding Varieties Technology at Farm Level.” Journal of Agricultural Economics 33(2): 227235.Google Scholar
Kalirajan, K. 1989. “On Measuring the Contribution of Human Capital to Agricultural Production.” Indian Economic Review 24(2): 247261.Google Scholar
Kalirajan, K., and Flinn, J. C. 1983. “The Measurement of Farm-Specific Technical Efficiency.” Pakistan Journal of Applied Economics 2: 167180.Google Scholar
Kassah, A. 1996. “Les Oasis Tunisiennes: Aménagement Hydro Agricole et Développement en Zone Aride.” Série Géographique (No. 13), Centre d'Études et de Recherches Economiques et Sociales, Tunis.Google Scholar
Kodde, D. A., and Palm, F. C. 1986. “Wald Criteria for Jointly Testing Equality and Inequality Restrictions.” Econometrica 54(5): 12431248.CrossRefGoogle Scholar
Koop, R. J., and Smith, V. K. 1980. “Frontier Production Function Estimates for Steam Electric Generation: A Comparative Analysis.” Southern Economic Journal 47(1): 10491059.Google Scholar
Kriaa, S. 2003. “Contribution à l'Étude de la Qualité des Eaux de la Nappe du Complexe Terminal dans la Nefzaoua.” Master's thesis, École Nationale d'Ingénieur de Tunis, Tunis.Google Scholar
Lee, L.F., and Tyler, W. G. 1978. “A Stochastic Frontier Production Function and Average Efficiency: An Empirical Analysis.” Journal of Econometrics 7(3): 385389.Google Scholar
Mamou, A., and Hlaimi, A. 1999. “Les Nappes Phréatiques de la Nefzaoua: Caractéristique et Exploitation.” Direction Générale des Ressources en Eaux, Tunis. Google Scholar
Mamou, A., and Kassah, A. 2002. “Eau et Développement dans le Sud Tunisien.” Série Géographique (No. 23), Centre d'Études et de Recherches Economiques et Sociales, Tunis.Google Scholar
Observatory of the Sahara and the Sahel (OSS). 2003. “The North Western Sahara Aquifer System: Joint Management of a Transborder Basin.” Technical report, OSS, Tunis.Google Scholar
Pitt, M. M., and Lee, L. F. 1981. “Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry.” Journal of Development Economics 9(1): 4364.CrossRefGoogle Scholar
Schmidt, P., and Sickles, R. 1984. “Production Frontiers and Panel Data.” Journal of Business Economics and Statistics 2(4): 367374.Google Scholar
Sharma, K. R., Pradhan, N. C., and Leung, P. 2001. “Stochastic Frontier Approach to Measuring Irrigation Performance: An Application to Rice Production Under the Two Systems in the Tarai of Nepal.” Water Resources Research 37(7): 20092018.CrossRefGoogle Scholar
Stevenson, R. F. 1980. “Likelihood Functions for Generalized Stochastic Frontier Estimation.” Journal of Econometrics 13(1): 5766.Google Scholar
Thiam, A., Bravo-Ureta, B. E., and Rivas, T. E. 2001. “Technical Efficiency in Developing Country Agriculture: A Meta-Analysis.” Agricultural Economics 25(2/3): 235243.Google Scholar
Waldman, D. M. 1984. “Properties of Technical Efficiency Estimators in the Stochastic Frontier Model.” Journal of Econometrics 25(3): 353364.Google Scholar