• Journal of Navigation and Port Research
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• v.30 no.7
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• pp.567-578
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• 2006

This paper is a study of the relationships between trade and transshipment in Korea. Through the analysis of the data collected, a comprehensive model has been developed to analyze and predict relationships between trade and transshipment. By using analyses of port and trade evolution in Asia, the model identifies some important results. An application of the model to forecast developments in selected regions in China is also included in this paper. The paper provides a basis for shipping companies to decide on appropriate transshipment port strategies, and provides important theoretical references for Korean ports' development Supported by Shanghai leading Academic Discipline Project, project Number: T0602.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.10a
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• pp.21-36
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• 2006

This paper is a study of the relationships between trade and transshipment in Korea. Through the analysis of the data collected, a comprehensive model has been developed to analyze and predict relationships between trade and transshipment. By using analyses of port and trade evolution in Asia, the model identifies some important results. An application of the model to forecast developments in selected regions in China is also included in this paper. The paper provides a basis for shipping companies to decide on appropriate transshipment port strategies, and provides important theoretical references for Korean ports' development Supported by Shanghai leading Academic Discipline Project, project Number: T0602.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.1-11
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• 2021

Port hinterland has been experiencing difficulty in generating new cargo volume and high value-added activity. It will be able to contribute to create new cargo volume and high added-value if transshipment cargo can be switched to trusted processing and then attract to port hinterland. This paper estimates items and volume size that can be the appropriate to attract in port hinterland and also be able to switch to trusted processing based on the trade data and manifest of transshipment container. The 50 items were classified from the result of trusted processing trade and the 33 items of them were suggested as the appropriate to attract in the port hinterland. The result shows that the 3.2 times transshipment cargo volume which is large than the total volume of trusted processing trade in Korea is transshipped at Busan port. This study is the first research to compare trade data and manifest of transshipment container, and thus it contributes to attracting firms in the port hinterland for the port authorities and the government.

• International Commerce and Information Review
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• v.13 no.1
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• pp.97-120
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• 2011

Purpose of this study is to define competitiveness and attribution factors of Busan port on attracting high value added business such as transshipment cargo. Research finds condition to become optimal transshipment port comprises both internal and external circumstances. As for the internal circumstance, scale and location of the distripark as well as port facilities and the rates, for the external circumstance, international network and information technology on logistics managements are providing positive effects. Optimal plans to attract transshipment cargo should include, first, development of total logistics management system from port entry to unloading, transportation, processing, loading to departure. Second, assign port as free trade zone under customs law to attract foreign investment and goods traffic through tax exemption. Third, unless it is illegal, government needs to grant substantial freedom to shift capital for the foreign investors which will lead increase in cargo traffic and foreign investment.

• Journal of Navigation and Port Research
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• v.40 no.2
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• pp.57-65
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• 2016

The port throughput situation has changed since the 2008 financial crisis in the US. Therefore, we studied the situation, accurately estimating port traffic of Korean port after the 2008 financial crisis. We ensured the proper port facilities in response to changes in port traffic. In the results of regression analysis, Korean GDP and the real effective exchange rate of Korean Won were found to increase the container throughput in Korean and Busan port, as well as trade volume with China. Also, the real effective exchange rate of Korean Won was found to increase the port transshipment cargo volume. Based on the ARIMA models, we forecasted port throughput and port transshipment cargo volume for the next six years (72 months), from 2015 to 2020. As a result, port throughput of Korean and Busan ports was forecasted by increasing annual the average from about 3.5% to 3.9%, and transshipment cargo volume was forecasted by increasing the annual average about 4.5%.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.183-194
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• 2011

Countries in the world make a strategic effort to develop their own ports into hub ports and lure transshipment cargoes. Likewise, the Busan Port tries to become a container hub port in Northeast Asia, but there is lately a gradual decline in the number of transshipment cargoes. The purpose of this study was to examine the influential factors of port transshipment traffic in an effort to identify the determinants of transshipments in the Busan Port. In existing studies, harbor infrastructure, maritime transshipment cost, port cost and port service were primarily presented as the determinants of transshipment traffic after surveys were conducted by experts. In this study, the transshipment traffic in the Busan Port was selected as a dependent variable, and the container traffic and transshipment traffic of ports in adjacent countries and each country's amount of trade and economic growth rate were selected as explanatory variables to analyze what factors determined the transshipment traffic in the port.

• Journal of Korea Port Economic Association
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• v.21 no.4
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• pp.255-274
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• 2005

To acquire a port traffic, governments in North-East Asia have intensively invested port development. Furthermore, the major shipping company directly make a call at northern chinese ports like Qingdao, Dalian and Tianjin. Those changes of port environment will have a considerable effect on a port traffic in Korea. In order to prepare against those changes, it is necessary to estimate a port traffic in Korea A port traffic in Korea is estimated by the use of explanation variables like GDP of Korea, real effective exchange rate, world economic performances and the trade in China, et al. When GDP in Korea goes up 1%, it is estimated that container port traffic of all ports and Pusan Port is upward $1.0{\sim}1.2%$ and $0.8{\sim}0.9%$ respectively. When the trade in China goes up 1%, it is estimated that Container transshipment is upward $1.6{\sim}1.7%$ approximately.

• Journal of Navigation and Port Research
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• v.33 no.7
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• pp.491-500
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• 2009

In order to attract more transshipment cargoes, Busan Port Authority (BPA) has, since 2003, adopted the volume incentive policy by which more than US$ 10 million annually have been paid back to shipping lines that were called at the port. However, having been a transshipment port for the Northeast region of China, the port of Busan has come under threat from bold Chinese port development projects, notably Shanghai, as northern Chinese regionnl ports place more emphasis on building facilities capable of handling growing trade volumes. Undoubtedly this would lead to a decline in transshipment container traffic moved via Busan. The purpose of this paper is to identify some core factors that have been affecting the increase of transshipment cargoes of Busan and further to recommend BPA an improved incentive scheme with which more T/S cargoes can be attracted into the port of Busan To clarity the reason why T/S cargoes have increased in the port of Busan, several steps are made as follows: The first step is to make a quantitative model for explaining the development of T/S cargoes during the last decade. The second step is to define the dependent and the independent variables for multiple regressions after testing variable significance. For this, data collection and the accuracy of validation have been done by the direct interview with the experienced staffs in shipping companies of both domestic and foreign country. After validating the model with collected data, the final step is to find variables which are explaining the model mostly. In conclusion, 2 variables were clearly identified as core factors that explain well the development of T/S cargoes in the port of Busan: 'Mohring effect' and total cost. It is strongly recommended, by an empirical study, that an incentive scheme be changed to a way which more feeder vessels rather than mother vessels can reduce their direct costs to call in the port of Busan.

• The Journal of Fisheries Business Administration
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• v.18 no.2
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• pp.53-67
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• 1987

In the fish industry, the perishabiliy of raw material, saeasonality of catch and diatance between production and consumption combine to cause physical distribution to be a difficult decision problem. In fishery physical distribution, the choice of appropriate landing port is a major problem. This paper deals with transshipment model to determine landing port as intermediate transfer point and the market to which fish should be sent. Transshipment model is useful to determine intermediate transfer point and can be reformulated as LP model. So this study developes transshipment model for korea large trawler ana analized the model output. It can be expended to a realistic problem in order to provide information to port planner and decision maker on the trade-offs between the cost and efficiency of fishery transportation.

• Journal of Navigation and Port Research
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• v.31 no.6
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• pp.545-553
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• 2007

Due to the change of global production network, the establishment of new strategy in Korea ports is required Especially, the trade pattern has been mainly concentrated in Northeast Asia region according to economic growth of the Asia including China, Japan, and Korea. Hence, Korea major ports with the competition of price and service has to meet the need of Northeast port alliance and has to compete against other countries in variable trade environment. Therefore, the objective of this study is to propose a port alliance strategy in order to promote the transshipment of Korea major ports such as Pusan port and Gwangyang port. In order to establish the logistics business model in the ports, we provided the direction of the Northeast port alliance and candidate ports in China and Japan.