2004
DOI: 10.1057/palgrave.mel.9100099
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Efficiency in European Seaports with DEA: Evidence from Greece and Portugal

Abstract: In this paper, we compare the seaport efficiency of two European countries, Greece and Portugal, using data envelopment analysis (DEA). The international benchmarking procedure is implemented, in which the seaports in each country are compared against each other. The broader aim of this study is to seek out those best practices that will lead to improved performance in the context of European seaport policy. We rank the seaports according to their total productivity for the period 1998–2000. Economic implicati… Show more

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Cited by 208 publications
(56 citation statements)
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References 30 publications
(31 reference statements)
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“…On the other hand, an output-orientation analysis provides information on how much augmentation to the levels of outputs of an inefficient bank is necessary while maintaining current input levels for it to become DEA-efficient. Since it is well known that, in competitive markets, the DMUs are outputoriented (Barros & Athanassiou, 2004), we use the output maximization assumption in this study.…”
Section: Preliminary Data Analysismentioning
confidence: 99%
“…On the other hand, an output-orientation analysis provides information on how much augmentation to the levels of outputs of an inefficient bank is necessary while maintaining current input levels for it to become DEA-efficient. Since it is well known that, in competitive markets, the DMUs are outputoriented (Barros & Athanassiou, 2004), we use the output maximization assumption in this study.…”
Section: Preliminary Data Analysismentioning
confidence: 99%
“…parametric techniques in the form of SFA (Baños-Piño et al 1999;Coto-Millán, Baños-Pino, and Rodríguez-Álvarez 2000;Barros 2005;Rodríguez-Álvarez, Tovar, and Trujillo 2007;Trujillo and Tovar 2007;González and Trujillo 2008;Díaz-Hernández, Martínez-Budría, and Jara-Díaz 2008;Coto-Millán, Pesquera, and Castanedo 2010;Ramos-Real and Tovar 2010;Rodríguez-Álvarez, Tovar, and Wall 2011;Núñez-Sánchez and Coto-Millán 2012;Rodríguez-Álvarez and Tovar 2012;Tovar and Wall 2015) and non-parametric techniques such as DEA (Martinez-Budria et al 1999;Bonilla et al 2002;Barros 2003;Bonilla et al 2004;Barros and Athanassiou 2004;Inglada and Coto-Millán 2010;Carvalho et al 2010;Medal and Sala 2011;Carvalho and Marques 2012;Medal-Bartual, Molinos-Senante, and Sala-Garrido 2012;Díaz-Hernández, Martínez-Budría, and Salazar-González 2014;Gutiérrez et al 2015).…”
Section: Overview Of Port Productivity Studiesmentioning
confidence: 99%
“…Table 2 shows various methods used by authors in measuring container port competitiveness. [20] Identify factors important to container port competitiveness in China [18] Identify important factors in transshipment port selection [27] Identify factors important to shipping lines for choice of port between Montreal and New York [23] Identify important port selection factors for shippers in Nigeria [28] Identifying main factors that influence hub port location choice in West Africa Data Envelopment Analysis (DEA) [29] Identify factors affecting efficiency of Portuguese and Greek ports [30] Identify factors affecting efficiency of Korean ports [31] Identify factors affecting efficiency of container ports [32] Determine efficiency of ports and impact on competitiveness of short sea shipping versus road transport in Europe [33] Determine impact of improving port infrastructure on cargo volumes in two Spanish ports…”
Section: Port Competition and Selection From Literaturementioning
confidence: 99%