物流变量对港口绩效分析的重要性——基于DEA方法的57个世界港口排名分析

Rudy Eruwan Jamain, R. Zakaria, Nurulhuda Mohd Satar
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引用次数: 0

摘要

港口绩效是各国和商业实体的重要门户。本研究旨在探讨物流变量对港口绩效测量的重要性。衡量港口绩效的标准方法是根据港口特征(如泊位长度、起重机数量和深度)对其输入和输出进行分析。毫无疑问,这些方法是学者们用来衡量港口绩效的最实用的方法。然而,其他外部因素,如物流变量,需要特别注意,因为它们在以前的研究中已经讨论过,有能力影响港口绩效的衡量。因此,本研究通过数据包络分析(DEA)测量了57个港口的技术效率,这些港口是全球效率最高的港口之一,并使用敏感性分析来衡量物流变量对绩效测量的影响。为了进行稳健性检验,我们使用稳健固定效应工具来衡量物流变量对港口技术效率的影响。结果表明,物流变量对港口技术效率测度有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Importance of Logistics Variables on Port Performance Analysis: A DEA Approach to Analyzing 57 Ports in the World Port Ranking
Port performance is an important gateway to countries and business entities. This study aims to explore the importance of logistics variables towards port performance measurement. A standard method used to measure port performance is the analysis of its inputs and outputs based on port characteristics, such as length of berth, number of cranes, and depth. Indubitably, these approaches are among the most practical used by scholars to measure port performance. However, other external factors, such as logistical variables, need special attention, as they have been discussed in previous studies as having the capability to influence the measurement of a port's performance. As such, this study measures the technical efficiency of 57 ports, ranked among the most efficient ports globally, via a Data Envelopment Analysis (DEA) and uses sensitivity analysis to measure the impact logistics variables have on the measurement of performance. For robustness checking, the Robust Fixed Effects tool was applied to measure the impact of the logistics variables on port technical efficiency. The results show that logistics variables significantly impact the technical efficiency measurements of ports.
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