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Technical Efficiency Determinants Of The Tunisian Manufacturing Industry: Stochastic Production Frontiers Estimates On Panel Data

Author

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  • KAMEL HELALI

    (University of Sfax, Tunisia)

  • MAHA KALAI

    (University of Sfax, Tunisia)

Abstract

In this paper, we analyze the development of technical efficiency in the Tunisian manufacturing sector using advanced analysis methods. The technical efficiency of the industrial sectors is measured on the basis of panel data through the bias of a classical approach and a Bayesian one, which makes the inefficiency terms change over time. This exercise helps to assess the robustness of the estimated technical efficiency compared to the choice of the estimation technique. The mean efficiency score is found to be of 77 percent and there is no evidence of a continuous increase in efficiency.

Suggested Citation

  • Kamel Helali & Maha Kalai, 2015. "Technical Efficiency Determinants Of The Tunisian Manufacturing Industry: Stochastic Production Frontiers Estimates On Panel Data," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 40(2), pages 105-130, June.
    • Handle: RePEc:jed:journl:v:40:y:2015:i:2:p:105-130
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    References listed on IDEAS

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    More about this item

    Keywords

    Efficiency; Dynamic Panel Data; Tunisian Manufacturing; Stochastic and Bayesian Frontier Analysis;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

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