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Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports
journal contribution
posted on 2023-05-18, 14:05 authored by Hong-Oanh NguyenHong-Oanh Nguyen, Nguyen, H-V, Chang, Y-T, Chin, ATH, Tongzon, JStandard data envelopment analysis (DEA) tends to be sensitive to the number of variables of a chosen sample, and it is unable to account for 10 their random nature. Standard DEA can exhibit statistical inconsistency, biased results, and an arguable inference process. Thus, in this study, an efficiency evaluation method is used to overcome these limitations, especially since no studies of port efficiency have addressed this issue. This study applies bootstrapped DEA to a sample of the 43 largest 15 Vietnamese ports and compares the results with those from stochastic frontier analysis (SFA) and standard DEA. The results show that while the efficiency scores obtained from the three methods provide useful and consistent measures of the ports’ efficiency, they differ significantly. Furthermore, while the efficiency scores produced by bootstrapped 20 DEA are consistent, unbiased, and not sensitive to the sample size, standard DEA and SFA yield efficiency scores that are much larger than bootstrapped DEA. In addition, bootstrapped DEA provides the confidence intervals for efficiency scores and allows for hypothesis tests of port performance.
History
Publication title
Maritime Policy and ManagementVolume
43Issue
5Pagination
644-659ISSN
0308-8839Department/School
Australian Maritime CollegePublisher
RoutledgePlace of publication
United KingdomRights statement
Copyright 2015 Informa UK Limited, trading as Taylor & Francis GroupRepository Status
- Restricted