2006
DOI: 10.1016/j.tra.2005.07.003
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The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis

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Cited by 329 publications
(241 citation statements)
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“…For example, Cullinane [4] evaluated the relative efficiency of 26 container ports using DEA from two perspectives-deterministically (using an output-oriented DEA model under both VRS and CRS) and stochastically (based on a log-linear Cobb-Douglas production function and under the error assumption of half-normal, truncated normal, and gamma distributions). Cullinane et al found that while there were differences in the efficiency ranks of the two methods, those rankings were highly correlated.…”
Section: A Data Envelopment Analysismentioning
confidence: 99%
“…For example, Cullinane [4] evaluated the relative efficiency of 26 container ports using DEA from two perspectives-deterministically (using an output-oriented DEA model under both VRS and CRS) and stochastically (based on a log-linear Cobb-Douglas production function and under the error assumption of half-normal, truncated normal, and gamma distributions). Cullinane et al found that while there were differences in the efficiency ranks of the two methods, those rankings were highly correlated.…”
Section: A Data Envelopment Analysismentioning
confidence: 99%
“…In contrast, SFA is an econometric method accounting for random shocks and measurement errors, and was first proposed by Aigner et al (1977) and Meeusen and van den Broeck (1977). Cullinane et al (2006) compared the results from DEA and SFA on port efficiencies and found high correlations between the results from the two approaches. In port literature, Hung, Lu, and Wang (2010) introduced scale efficiency into DEA analysis, and Sharma and Yu (2010) studied container terminals using the DEA model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The authors of the various papers have conducted correlation analyses the results of which are revealing: Cullinane et al [15] carried out a DEA and an SFA examination simultaneously and found a high degree of correlation between them. Coelli and Perelman [14] also investigated the parametric and the DEA method in parallel (the former also with LP and also with COLS estimation methods), and found that the three procedures yielded reliably similar results.…”
Section: Discussion On the Correlation And Links Between The Methodsmentioning
confidence: 99%
“…In case of a deterministic function, the corrected ordinary least squares method (COLS) or linear programming (LP) can be used. If the SFA method is selected, these two can still be applied (see [14]), or the maximum likelihood estimation (MLE) (see [15]) or the Markov Chain Monte Carlo simulation (MCMC) (see [16]) can also be employed.…”
Section: Use Of Production Functionsmentioning
confidence: 99%
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