The Technical Efficiency of Tunisian Ports: Comparing Data Envelopment Analysis and Stochastic Frontier Analysis Scores

Kammoun Rabeb ()
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Kammoun Rabeb: Departement of Economics, Faculty of Management and Economics of Sfax, Tunisia.

Logistics, Supply Chain, Sustainability and Global Challenges, 2018, vol. 9, issue 2, 73-84

Abstract: Maritime transportation for Tunisia plays an important role in trade exchange with other countries. Therefore, the objective of this paper is to measure the efficiency scores of 7 seaports in Tunisia by applying the Stochastic Frontier Analysis (SFA) with Cobb-Douglas production function and Data envelopment analysis (DEA) with CCR and BCC models. The annual data collected cover the 2007-2017 period for each port. Thus, the sample size for the analysis comprises a total of 77 observations. The empirical result shows that the total average scores of operating efficiency scores were DEA-BCC (0.746) >SFACD (0.536)>DEA-CCR (0.334) from 2007 to 2017. Given these results, the port of Gabes can be considered as the best efficient port in the 3 models (DEA-BCC, DEA-CCR and SFA-CD).

Keywords: Efficiency; Data Envelopment Analysis (DEA); Stochastic Frontier Analysis (SFA); Tunisian seaports (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:losutr:v:9:y:2018:i:2:p:73-84:n:6

DOI: 10.2478/jlst-2018-0011

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