• Journal of Korea Port Economic Association
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• v.31 no.2
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• pp.85-101
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• 2015

This study formulates a development strategy for Gwangyang port through the analysis of its competition with other major Northeast Asian ports. A revised BCG matrix is applied to estimate the change in competition between the major ports in Northeast Asia and the Lotka-Volterra model is used for the competitor analysis. The growing competitive power and influence of Chinese ports, continued competitive advantage of Busan port, diminishing competitiveness of Gwangyang and Incheon ports, and disappearing competitive position of Japanese ports in Northeast Asia are all confirmed. In addition, according to the relationship between Gwangyang port and other major Northeast Asian ports from 2007 to 2014, Gwangyang port has changed to a predatory from a win/win relation with Busan port and has maintained its predatory relationship with Hong Kong port in terms of transshipment cargoes. Moreover, Gwangyang port has formed predatory relationships with Shanghai and Ningbo ports, a pure competitive relation with Tianjin port, and a win/win relation with Qingdao and Dalian ports. Overall, predatory relationships between Gwangyang port and other Northeast Asia ports increased from 2007 to 2014. The counterstrategies for Gwangyang port to address this situation include establishing cooperative relations and continuing the win/win relationships with cooperative ports.

• Journal of Navigation and Port Research
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• v.39 no.5
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• pp.393-399
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• 2015

Recently, the fierce competitions in the shipping industry and the global economic downturn have heavily influenced ports' operational strategies. In order for port authorities to remain competitive at an international level and to provide more accurate information to develop National policies, ports are required to analyse and improve operations' efficiency. In this paper, the efficiency of 19 Italian ports in 2013, handling different types of cargoes, is assessed through the application of Data Envelopment Analysis (DEA), with constant return to scale (CRS) and variable return to scale (VRS). The purpose of this study is to analyze the efficiency of Italian ports and evaluate whether differences in size and specialization of each port (or cargo handled) are directly correlated with ports' efficiency.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.16
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• pp.245-264
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• 2001

This study aims to evaluate and compare the service quality level of major container ports in Asia. Seven factors are used to evaluate the port service qualities; informational assistance, location, processing speed, facilities, port operation, costs, and user convenience. Ten ports are selected as a sample; Singapore, Kobe, Osaka, Kaohsiung, Hong Kong, Shanghai, Tianjin, Busan, Kwangyang and Inchon. ANOVA and Duncan's multiple range test are used to analyze the survey data. The empirical results shows that, in general, Korean ports provides poorer service qualities than Singapore, Hong Kong, Kobe, and Osaka. Furthermore, the service quality levels of Korean ports are similar to or no better than Chinese ports.

• Journal of Korea Port Economic Association
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• v.21 no.3
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• pp.61-81
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• 2005

China has increased 10 percent every year since 1978. In particular, development and growth of Chinese ports make a remarkable in that the marine and coastal transportation handles the 90 percent of export-import cargo. This growth is beginning to threaten Korea's ports which are striving to become the hub of Northeast Asia logistics. Furthermore, the hub strategy of Northeast Asia is closely related to transshipment cargo invitation. The results of documents research indicate Busan and Gwangyang ports play an important role as an intermediate stopover between China and America. The ways to achieve transshipment cargo invitation are the construction of transshipment system based on the supply chain between korea and china, the maximization of trading volumes creation, equipment of ports infrastructure, and the constructions of the rail, road, coastal transportation infrastructures.

• Journal of Navigation and Port Research
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• v.36 no.2
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• pp.123-129
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• 2012

Due to rapid growth of economy in the world, which results into shipping goods flow one place to another in large volumes, the competition becoming more intense among ports. Shanghai port and Ningbo-Zhoushan port are the two most important ports in the Yangtze River Delta and have the same economic hinterland, inevitably there is a heated competition between the two ports. This paper using the approach of SWOT to analyze the issue of competition and cooperation between the two ports, and then makes an analysis of their Co-opetition strategies by employing the analyzing methods based on the Game theory. Finally, it puts forward some strategies to enhance the cooperation between the two ports.

• Journal of Navigation and Port Research
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• v.36 no.7
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• pp.535-544
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• 2012

In order to improve the overall ASEAN maritime transport network, each port's efficiency is regarded as a crucial factor that should be calculated periodically. This study evaluated the relative efficiency of container port operations of 32 ports belonging to 9 ASEAN nations using Data Envelopment Analysis (DEA). It found that 2 out of 32 ports in 2010 were measured as efficient ports. This study yielded two major findings. Firstly, the ports assessed as inefficient need to benchmark similar ports in size and structure from the ports that are assessed as efficient to improve their efficiency. Secondly, these results could be used to determine potential candidates and country for an international port development co-operation programme with Korea to improve the performance of the entire ASEAN port network by developing the infrastructures of ill-equipped ports.

• Journal of Korea Port Economic Association
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• v.19 no.1
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• pp.189-206
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• 2003

This Paper deals with the development of Incheon International Airports and Pusan and Kwangyang Ports as Hub Ports in order to systemize nationwide logistics networks. Now, Korea has core competences in terms of social overhead capital, telecommunication, information technologies, all fields of manufacturing plants, and the other infra-structure. As the environments of North-East Asian countries changes dynamically, at least we should keep up with the situations which require to meet the globalized level of international logistics services in Pusan and Kwangyang Ports to be a competitive Hub Ports in this region.

• Proceedings of the Korea Port Economic Association Conference
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• 2003.07a
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• pp.325-342
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• 2003

This Paper deals with the development of Incheon International Airports and Pusan and Kwangyang Ports as Hub Ports in order to systemize nationwide logistics networks. Now, Korea has core competences in terms of social overhead capital, telecommunication, information technologies, all fields of manufacturing plants, and the other infra-structure. As the environments of North-East Asian countries changes dynamically, at least we should keep up with the situations which require to meet the globalized level of international logistics services in Pusan and KwangYang Ports to be a competitive Hub Ports in this region.

• Journal of Korean Society of Transportation
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• v.21 no.5
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• pp.7-18
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• 2003

Due to the changes of shipping and logistic environment, Asian ports today face severe competition. To be a mega-hub port, Asian ports have achieved a big scale development. For these reasons, it has been widely recognized as an important study to analyze and evaluate characteristics of Asian ports, from the standpoint of Korea where Busan Port is located. Although some previous studies have been reported, most of them have been beyond the scope of Asian ports and analyzed the world's major ports; moreover, the studied ports have been about the ports which are well known from the previous research and reports. So, most studies is unlikely to be used as substantial indicators from the perspective of Busan Port. In addition. most of the existing studies have used hierarchical evaluation algorithm for port ranking, such as AHP (analytical hierarchy process) and clustering analysis. However, these two methods have fundamental weaknesses from the algorithm perspective. The aim of this study is to classify major Asian ports based on competitiveness level. Especially. in order to overcome serious problem of the existing studies, major Asian ports were analyzed by using objective indicators. and Fuzzy C-Means algorithm, which alleviates the weakness of the clustering method. It was found that 10 ports of 16 major Asian ports have their own phases and were classified into 4 port groups. This result implies that some ports have higher potential as ports to lead some zones in Asia. Based on those results. present status and future direction of Busan port were discussed as well.

• Journal of Navigation and Port Research
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• v.27 no.3
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• pp.315-320
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• 2003

Since the beginning of open-door policy, China has been making rapid annual growth with an average 10% economic development. And due to this rapid growth, cargo volumes via ports have been also rapidly increased, and accordingly, current China government has intensively invested in port development. Further, this development project is significantly big scale, compared with those project which Korea and Japan have. Thus, China is beginning to threaten Korean ports, especially Busan port which try to be a hub port in Northeast Asia. For this reason, it has been very important issue for Korea and Busan port to investigate or analyze Chinese ports based on empirical data. Especially, although various studies related to Shanghai and Hong Kong have been conducted, the competitiveness of overall Chinese major ports has been little studied. In this paper, we analyzed competitiveness level of eight Chinese ports with capabilities as container terminal, based on reliable sources. From data analysis, eight Chinese ports were classified into four groups according to competitiveness level. Rankings among four clusters based on competitiveness level are cluster(Hone Kong), cluster C(Shanghai), cluster A(Qingdao, Tianjin, and Yantian) and cluster D(Dalian, Shekou, and Xiamen).