• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.165-182
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• 2016

This study examines the competitiveness and cooperativeness among the container ports in East Asia by analyzing their monthly dynamics in eight years (2008-2015). Time series data on container throughput divided into origin and destination (O/D), such as the top six Chinese ports and the transshipment (T/S) ports such as Hong Kong, Busan, and Singapore, are computed with two methods based on the Vector Error Correction Model (VECM). The first Granger causality test results show that Busan T/S has significant bilateral relations with three Chinese O/D ports; and significant unidirectional relations with three other O/D ports. Shenzhen port has significant bilateral relations with Singapore, and has a significant unidirectional relation with Hong Kong port. Co-integrating test results showed that Busan holds negative co-integration with all Chinese O/D ports. Impulse response function (IRF) results show an opposite direction between paired ports. The ratios of the impulse from T/S ports are significantly high to one another in the short-run, but its power declines as time passes. The ratio of the impulse from the Chinese ports to T/S ports is less significant in the short-run period, however, it becomes more significant as time passes. The significance of most shocks was high in the second period, but was diluted after the sixth period.

• Journal of Navigation and Port Research
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• v.26 no.4
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• pp.363-372
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• 2002

Recently, mutual economy cooperation in Northeast Asia has leaded steady growth among main countries of it and rather promoted a single economy circle. In this region, Busan container port competes with min container ports in China, Taiwan and Japan in it for attracting transshipment container traffic of north-Shanghai in China and for-east Russia. Therefore, this paper aims to suggest competitive strategies for Busan container port to attract container traffic in Northeast Asia To do so, it evaluates the preference of important ports in the competitive situation and competitiveness edgy of important ports in Northeast Asia, and finally proposes the relative order of important factors. Based on the evaluation of it, first, the Busan ports hue tn strengthen port facilities to attract more traffic and in detail, reinforce the number of berth, yard areas and handling equipment Second, they also have to provide high quality of services to deliver cargos in time, not being damaged and swiftly response to shipowner and shipper's claim, Third, they need to review the strategy to adopt flexible tariff policy and to invest the profit from tariff in port service and facilities, as providing higher port tariff level by a regular rate.

• Journal of Korea Port Economic Association
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• v.32 no.3
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• pp.109-122
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• 2016

As increasing of container throughputs, port business market in Korea has been developed. However, due to the introducing of a handling fee reporting system in 1999 and surplus of facilities, port business market in Korea turned into deadly competition with lowering the handling fee. Due to the reasons, the handling fee in 2015 declined as much as 50% of in 2000. Therefore, this study analyzed whether the handling fee decline caused consumer surplus in the port business market of Korea or not. To do that, this study applied a methodology of Alexander for estimating the consumer surplus and Hausman's model using Hicksian demand. As the result of the analyzing, due to the excessive decreasing of the handling fee compared the import & export demand, consumer surplus of the port business market in Korea was decreased. However, due to the exception of transshipment from demand in this study, transshipment demand is needed to be considered to estimate of economic value of port business market in Korea in the future. Also, economic value of port business including subsidiary businesses will be estimated in order to strengthen the method for estimating economic benefit of port construction.

• Journal of Korean Society of Transportation
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• v.23 no.6 s.84
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• pp.31-40
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• 2005

Main airports in the Intra-Asian market have faced competition not only to attract China-bound transshipment cargoes but also to be hub airport in same region. In spite of such a importance, the previous research has been short of evaluation of airport competitiveness. Implication of the previous research has mainly been focused on evaluation of airport critical factor service qualify and efficiency. The aim of this paper is to present critical points that affect airport competitiveness using an algorithm based on reversed fuzzy evaluation and senario method. The results of senario analysis and reversed fuzzy evaluation shows that Incheon international airport needs to enhance service level of 7% as a result of senario analysis and service level of 5% and brand equity level of 10% at the same time as a result of reversed fuzzy evaluation analysis, to ensure competitiveness in same region.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.39-61
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• 2013

China, a leader of regional economies in North-East Asia, helps to integrate a single shipping market and affects diversely main ports in the region through affecting the flows of container transshipment, strategies of shipping companies for port calling and shipping networks. This study examines competition and cooperation among the hub ports in the region through studying examples of the three Chinese hub ports -Hong Kong, Shanghai, and Tianjin- and concludes some implications of status change of hub ports in the region after scrutinising development process of the Chinese main hub ports and the historic interaction of port development among these ports. The characteristics of growth pattern of three ports are as follows. The port of Hong Kong constructs step by step the container facilities in accordance with demand growth and prefers stabilisation of operation and management through scale enlargement of port facilities. Even though demand grows continually, the port of Shanghai continued its defensive attitude towards facility expansion till the 1990s and has tried to get economies of scale in enlargement of port facilities. The port of Tianjin, similarly as the two other ports, expands serially its facilities and utilizes the capacity concentration and functional specialisation of facilities. The analysis of panel data and panel regression of three hub ports implicates that each port has its own specific demand and shows that the interaction of container handling among three ports was weak in 1980s and has become stricter and stronger since 1990.