Efficiency Analysis with Different Models: The Case of Container Ports

A. Hlali
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引用次数: 11

Abstract

This paper estimates and compares the technical efficiency of the container ports using data envelopment analysis (DEA) and stochastic frontier analysis (SFA) models and check the role of the characteristics of infrastructure on container port efficiency. The comparisons are based on cross-sectional data for 26 world’s major container ports in 2015 using an input variables related to the characteristics of port infrastructure, such as: the total quay length (meter), the maximum alongside depth (meter), the total terminal area (square meter) and the storage capacity thousand Twenty-foot equivalent unit (thousand TEU/year). The result represents the mean DEA-SFA efficiency differential. DEA-BCC model results indicate that 16 container ports have more than 0.5 score efficiency while with the SFA models all container ports achieved score efficiency more than 0.5. The results show that SFA models improve the score technical efficiency of the container ports. The most efficient container ports in 2015 are Shanghai and Shenzhen achieved the high value technical efficiency with an undetectable difference.
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不同模型下的效率分析——以集装箱港口为例
本文采用数据包络分析(DEA)和随机前沿分析(SFA)模型对集装箱港口的技术效率进行了估计和比较,并检验了基础设施特征对集装箱港口效率的影响。比较基于2015年世界26个主要集装箱港口的横截面数据,使用与港口基础设施特征相关的输入变量,例如:码头总长度(米),最大沿深(米),总码头面积(平方米)和存储容量千20英尺当量单位(千TEU/年)。结果表示平均DEA-SFA效率差。DEA-BCC模型结果表明,16个集装箱港口的评分效率大于0.5,而采用SFA模型的集装箱港口评分效率均大于0.5。结果表明,SFA模型提高了集装箱港口的综合技术效率。2015年效率最高的集装箱港口是上海和深圳,实现了高值技术效率,差异难以察觉。
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