Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports
Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports
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DOI：
10.1080/03088839.2015.1107922
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发表时间：
2016-07
影响因子：
3.5
通讯作者：
H. Nguyen;H. Nguyen;Young-Tae Chang;Anthony T.H. Chin;J. Tongzon
中科院分区：
文献类型：
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作者：
H. Nguyen;H. Nguyen;Young-Tae Chang;Anthony T.H. Chin;J. Tongzon
摘要标准数据包络分析(DEA)往往对选定样本的变量个数敏感，无法解释其随机性。标准数据包络分析可能会表现出统计上的不一致、结果的偏颇和有争议的推理过程。因此，在这项研究中，效率评估方法被用来克服这些限制，特别是因为还没有关于港口效率的研究来解决这个问题。本文将自举数据包络分析方法应用于越南43个最大的港口，并将其结果与随机前沿分析(SFA)和标准DEA的结果进行了比较。结果表明，虽然三种方法得到的效率得分提供了有用和一致的港口效率衡量标准，但它们之间存在显著差异。此外，虽然自举DEA产生的效率分数是一致的、无偏见的，并且对样本量不敏感，但标准DEA和SFA产生的效率分数远远大于自举DEA。此外，自举数据包络分析为效率得分提供了可信区间，并允许对端口性能进行假设检验。
ABSTRACT Standard data envelopment analysis (DEA) tends to be sensitive to the number of variables of a chosen sample, and it is unable to account for 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 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 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.