On the Efficiency of Manufacturing Sectors: Evidence from a DEA Additive Bootstrap Model for Tunisia

Mohamed Jelassi () and Ezzeddine Delhoumi ()
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Ezzeddine Delhoumi: Department of Quantitative Methods & LEFA, IHEC Carthage, Carthage University

Economics Bulletin, 2017, vol. 37, issue 2, 1393-1400

Abstract: In this study we apply a DEA additive (Range Adjusted Measure (RAM)) bootstrap model to evaluate industrial sectors of a small open economy according to an input-output efficiency measure. The technical efficiency of the Tunisian manufacturing sectors is estimated for the possible time period following the 90's reform initiatives. The sources of inefficiencies in each sector are also quantified. Our estimates reveal that the most efficient sectors are the wood, followed by the chemicals and the electrical and electronics sectors, whereas the least efficient ones are the non-metallic, food and beverages and basic metals and metal products. Our estimates also provide evidence in favor of an eventual pick-up in the overall efficiency of the manufacturing sectors starting in early 2000's after a steady decline in overall efficiency during the late 90's.

Keywords: Data envelopment analysis; Manufacturing industries (search for similar items in EconPapers)
JEL-codes: C6 L6 (search for similar items in EconPapers)
Date: 2017-06-16
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Citations: View citations in EconPapers (1)

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