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A Study on the Analysis of Container Ports' Efficiency using Uncertainty DEA model  

Pham, Thi-Quynh-Mai (목포해양대학교대학원 해상운송시스템학과)
Kim, Hwa-Young (목포해양대학교 국제해사수송과학부)
Lee, Cheong-Hwan (목포해양대학교대학원 해상운송시스템학과)
Publication Information
Journal of Korea Port Economic Association / v.32, no.1, 2016 , pp. 165-178 More about this Journal
Abstract
Container port nowadays becomes one of the most vital link of the transportation chain, plays an important role in trading with other countries. Therefore, evaluating the operational efficiency of container ports to reflect their status and to reveal their position in this competitive environment is very important for port development. Although there have been lots of methods used to measure efficiency in the past, the DEA (Data Envelopment Analysis) model is still the most commonly applied approach. However, the data used in the model sometimes is complex and uncertain to handle using the basic DEA model. In this paper, we applied an uncertainty theory to create an uncertainty DEA model (UDEA), which can solve the limitation of the traditional one. This study mainly focuses on measuring efficiency of 41 container ports by applying proposed an UDEA model. The results show that among 41 container ports, only six container ports are regarded to have efficient operation through the clustering, meanwhile others have technical and scale inefficiencies. We found out that an UDEA model is better to analysis efficiency than existing DEA model.
Keywords
Port Efficiency; Container Port; Uncertainty DEA; Port Clustering;
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