A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models

Odeck, James; Bråthen, Svein

doi:10.1016/j.tra.2012.08.006

Cited by 82 publications

(78 citation statements)

References 43 publications

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“…applications in transport were presented in Jarzemskiene's article (Jaržemskienė, 2009). Meta-analysis of DEA applications was carried also out by Odeck and Brathen (Odeck & Bråthen, 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

Upgraded data envelopment analysis model application for total productivity comparison in major airports of the European Union

Jaržemskis

Jaržemskienė

2018

Economic Research-Ekonomska Istraživanja

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In order to compare the productivity of airports different scientific approaches are used by various authors. Previous research has shown wide application of the data envelopment analysis (D.E.A.) model for productivity comparison. The D.E.A. model may be used to compare both partial and total factor productivity. However, aggregation of the separate partial factors into a single D.E.A. model is still not sufficiently investigated. The purpose of this paper is to suggest the integration of two methods -DEA and Delphi Expert Panel -to solve this problem. A model was developed and experimentally tested with 15 major European Union airports. The results show that the suggested model could be efficiently used to compare the airports' productivity, which is expressed by a large set of attributes. The main conclusion is that model can be successfully used to compare airports by different criteria through integrating the DEA and Delphi Expert Panel techniques. The model can be used for any set of airports to compare productivity. The research could be useful to airport managers and investors, as well as to researchers in the area of D.E.A. application.

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Section: Literature Reviewmentioning

confidence: 99%

Upgraded data envelopment analysis model application for total productivity comparison in major airports of the European Union

Jaržemskis

Jaržemskienė

2018

Economic Research-Ekonomska Istraživanja

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“…DEA is a significant method [20][21][22] for evaluating the relative effectiveness of multi-input and multi-output decision-making units (DMU) based on a non-parametric production frontier. After years of development, several models have been derived based on DEA.…”

Section: The Dea Modelmentioning

confidence: 99%

Measuring Water Transport Efficiency in the Yangtze River Economic Zone, China

et al. 2017

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Abstract:Water transport, a component of integrated transport systems, is a key strategic resource for achieving sustainable economic and social development, particularly in the Yangtze River Economic Zone (YREZ). Unfortunately, systematic studies on water transport efficiency are not forthcoming. Using Data Envelopment Analysis (DEA) and the Malmquist index as a model framework, this paper measures water transport efficiency in YREZ, conducts spatial analysis to identify the leading factors influencing efficiency, and provides scientific evidence for a macroscopic grasp of water transport development and the optimization of YREZ. The results indicate that water transport technical efficiency (TE) in YREZ is low and in fluctuating decline. Therefore, it has seriously restricted performance and improvements in the service function. Additionally, the spatial pattern of TE has gradually changed from complexity and dispersion to clarity and contiguity with a larger inter-provincial gap. Water transport efficiency has slightly improved through technological change (TECHch), whereas deteriorating pure technical efficiency change (PEch) is the main cause of a TE decrease. According to our findings, decision-makers should consider strengthening intra-port competition and promoting water transport efficiency.

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“…Panayides et al, 2009;Odeck and Bråthen, 2012;Woo et al, 2012) for recent reviews. However, studies of port productivities, i.e., how ports perform relative to each other over time, are less frequent in the literature.…”

Section: Introductionmentioning

confidence: 99%

Comparing the productivity of Norwegian and some Nordic and UK container ports - an application of Malmquist productivity index

Schøyen

Odeck

2017

IJSTL

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This article measures productivity changes during 2009 -2014 of the six largest Norwegian container ports against 14 similar small-and medium-sized ports in the Nordic countries and the UK. The approach used is the data envelopment analysis (DEA)-based Malmquist productivity change index (MPI), which carries out a decomposition isolating the technical progress of the efficiency improvement. The major findings are: 1) the sampled Norwegian ports seem to perform better than their international counterparts in terms of efficiency scores; 2) when productivity growth over time is considered, the Norwegian ports appear to be overperformers but a statistical test proves that they are not; 3) overall, total productivity increased by approximately 0.6% per year for all ports considered and this progress is explained more by technological improvements and less by efficiency change, which declined during the period studied. This study provides Norwegian decision makers with new information regarding the performance of Norway's container port industry.

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A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models

Cited by 82 publications

References 43 publications

Upgraded data envelopment analysis model application for total productivity comparison in major airports of the European Union

Upgraded data envelopment analysis model application for total productivity comparison in major airports of the European Union

Measuring Water Transport Efficiency in the Yangtze River Economic Zone, China

Comparing the productivity of Norwegian and some Nordic and UK container ports - an application of Malmquist productivity index

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