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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=90081"><dc:title>The technical efficiency of Tunisian ports</dc:title><dc:creator>Kammoun,	Rabeb	(Avtor)
	</dc:creator><dc:subject>efficiency</dc:subject><dc:subject>data envelopment analysis (DEA)</dc:subject><dc:subject>stochastic frontier analysis (SFA)</dc:subject><dc:subject>Tunisian seaports</dc:subject><dc:description>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)&gt;SFACD (0.536)&gt;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, DEACCR and SFA-CD).</dc:description><dc:date>2018</dc:date><dc:date>2024-08-22 11:32:41</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>90081</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
