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An Empirical Study on the Measurement of Clustering and Trend Analysis among the Asian Container Ports Using the Variable Group Benchmarking and Categorical Variable Models  

Park, Rokyung (조선대학교 경상대학 무역학과)
Publication Information
Journal of Korea Port Economic Association / v.29, no.1, 2013 , pp. 143-175 More about this Journal
Abstract
The purpose of this paper is to show the clustering trend by using the variable group benchmarking(VGB) and categorical variable(CV) models for 38 Asian ports during 9 years(2001-2009) with 4 inputs(birth length, depth, total area, and number of crane) and 1 output(container TEU). The main empirical results of this paper are as follows. First, clustering results by using VGB show that Shanghai, Qingdao, and Ningbo ports took the core role for clustering. Second, CV analysis focusing on the container throughputs indicated that Singapore, Keelong, Dubai, and Kaosiung ports except Chinese ports are appeared as the center ports of clustering. Third, Aqaba, Dubai, Hongkong, Shanghai, Guangzhou, and Ningbo ports are recommended as the efficient ports for the target of clustering. Fourth, when the ports are classified by the regional location, Dubai, Khor Fakkan, Shanghai, Hongkong, Keelong, Ningbo, and Singapore ports are the core ports for clustering. On the whole, other ports located in Asia should be clustered to Dubai, Khor Fakkan, Shanghai, Hongkong, Ningbo, and Singapore ports. The policy implication of this paper is that Korean port policy planner should introduce the VGB model, and CV model for clustering among the international ports for enhancing the efficiency of inputs and outputs.
Keywords
Asian Container Ports Clustering; Variable Group Benchmarking(VGB) Model; Categorical Variable(CV) Model; DEA;
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Times Cited By KSCI : 1  (Citation Analysis)
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