• Journal of Korea Port Economic Association
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• v.26 no.2
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• pp.82-98
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• 2010

The purpose of this paper is to suggest the efficiency measurement way of Korean seaport by using Average Index Transformation model of fuzzy DEA(Data Envelopment Analysis). Two inputs[cargo handling capacity, and berthing capacity], and outputs[cargo handling amount, and the number of ship calls] are used in 1995 and 2004 for 26 Korean seaports. Empirical main results are as follows: First, Tongyung, Gohyun, Okpo, and Sogcho Ports are efficient, and Yeasu Port shows the high efficiency level over 95% under input oriented CCR model. Gohyun and Sogcho Ports showed the most efficient score under average index transformation model. Okpo and Yeasu Ports increased their efficiency scores as the lamda(λ) values are up. The empirical results of fuzzy DEA average index transformation model for Wando, Yeasu, and Seoguipo ports showed that if the lamda values are higher, the efficiency scores are also higher. The main policy implication based on the findings of this study is that the management manager of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the fuzzy DEA average index transformation model for deciding the size of inputs including the port investment amount and evaluating the port efficiency.

• Journal of Information Technology and Architecture
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• v.11 no.3
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• pp.359-369
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• 2014

This paper aims to analyze the change of dominion in Russian automotive market and Korea port to export cars to the Russia. First, we provide the current market structure and growth potentials of Russian automotive industry by using literature reviews and data survey. Next, we analyze the current situation to export cars through the Korean seaports using the BCG (Boston Consulting Group)'s matrix method. The analysis shows that the Russian car market has growth potential. The result of expectation of Russian major car export's port within 3~5 years since the year 2013 shows that the Pohang Port will maintain current market share because it has higher market share and growth potential. On the contrary, the Guangyang Port, Busan Port, and Ulsan Port will lose the market share because of the low growth potential. Also, the Incheon Port will become the cash cow market because it has more than 10 percent market share and higher growth potential. To increase the car export volume of ports to Russian market, this paper proposes that we should provide a differentiated service to Russian port based on the analysis of domestic or foreign car export logistics structure and flow. For further study, EA-based framework should be applied for efficient and effective policies.

• Journal of Korea Port Economic Association
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• v.28 no.1
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• pp.53-82
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• 2012

The purpose of this paper is to show the clustering trend by using the context-dependent and measure-specific models for 38 Asian ports during 10 years(2001-2009) with 4 inputs and 1 output. The main empirical results of this paper are as follows. First, clustering results by using context-dependent and measure-specific models are same. Second, the most efficient clustering was shown among the Hong Kong, Singapore, Ningbo, Guangzhou, and Kaosiung ports. Third, Port Sultan Qaboos, Jeddah, and Aden ports showed the lowest level clustering. Fourth, ranking order of attractiveness is Guangzhou, Dubai, HongKong, Ningbo, and Shanghai, and the results of progressive scores confirmed that low level ports can increase their efficiency by benchmarking the upper level ports. Fifth, benchmark share showed that Dubai(birth length), and HongKong(port depth, total area, and no. of cranes) have affected the efficiency of the inefficient ports.