• Journal of Navigation and Port Research
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• v.46 no.5
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• pp.449-457
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• 2022

The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.

• 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%.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.121-123
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• 2016

This paper studies the competitiveness and complementary among the major container ports in East Asia by analyzing their extensive and intensive dynamics in recent 8 years (2008-2015). Time series data on container throughput dividing into O-D and transshipment for the ports of Hong Kong, Kaohsiung, Shanghai, Busan, Ningbo-Zhoushan, and Shenzhen are calculated based on VAR and VECM model.

• Journal of Distribution Science
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• v.19 no.7
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• pp.29-39
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• 2021

Purpose: As China experienced a crisis due to Covid-19, the global supply chain collapsed and affected the world. Therefore, it is time for a change in port operational efficiency, increasing in importance with changes in the global supply chain. This study analyzed Shanghai Port's efficiency, the world's largest port and representative hub port in Northeast Asia, by looking at the relationship between facility factors and cargo throughput to present hub port development's timely implications. Research design, data and methodology: This study applied the Charnes, Cooper, and Rhodes (CCR) and Banker, Chames, and Cooper (BCC) models of the data development analysis (DEA) to construct an analysis from the input-oriented and output-oriented perspectives. Results: As a result, Yidong Container Terminal can be considered the most optimized in facilities and operation processes. Yidong and Shengdong Container Terminal should maintain current operating levels, while Pudong Container Terminal should review facility investments. Also, Zhendong, Huong, Mingdong, and Guandong Container Terminal should be reviewed to increase cargo throughput or to adjust current input variables in the current state. Conclusions: Therefore, the utilization of the container terminal input variables should be reviewed, and the factors of inefficiency should be improved. Moreover, the strategic focus of container terminal operations should be on increasing annual cargo throughput.

• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.169-187
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• 2015

Ports as central factors of the logistics industry and principal bases in industrial activities play a significant role in the development of the social economy. This paper takes the throughput data from 2000 to 2014 of 10 container ports located in China as the research object with the Gini coefficient and employs the shift-share analysis. It aims to analyze the changes in port concentration and movement of container throughputs and propose a stage of development port system in China. The results are as follows. First, the system of container ports clearly moves northward. According to the above shift-share analysis, the throughput moves from the Pearl River Delta to the other two regions. This indicates that the center of Chinese container port system moves northward. Second, container port diversification development takes a representative position in the change of container throughput space structure. According to the calculation results of Gini coefficient, diversified development gradually predominates the change of container throughput space structure.

• Journal of Navigation and Port Research
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• v.39 no.5
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• pp.417-422
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• 2015

Sea-ports in Northern Vietnam have experienced a rapid growth of container throughput in recent years. To accompany with such development, huge investment also has been performed to enhance not only local port capacity but also the regional logistics system. Container terminals in Northern Vietnam locate centrally along Cam river of Haiphong city, leaving 2 others in Quang Ninh province. Five out of totally 11 container terminals in the area are under the control of Vinalines - a national corporation in field of maritime industry. In this paper, those terminals are classified in terms of location and ownership. The volume of container throughput and facilities of all container terminals in Northern Vietnam from 2005 to 2014 are recorded in order to compare the performance of groups. A Data Envelopment Analysis (DEA) is then applied to evaluate the relative efficiency of such terminals. Before conclusion, number of suggestions will be contributed to related parties.

• Journal of Korea Trade
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• v.23 no.4
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• pp.17-29
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• 2019

Purpose - This study examines the relationship between public-private partnerships and the performance of ports based on three factors: the quality of the port infrastructure, container throughput, and logistic performance in three Latin American countries, Mexico, Panama, and Brazil, for the period of 1994-2017. Design/methodology - The selected countries are top ranked in terms of container throughput in Latin America. The methodology employs secondary data from the World Bank (Quality of Port Infrastructure, Logistics Performance Index, and Private Participation in infrastructure database). Findings - Overall, the results revealed that the private investment of these countries varies significantly over the past couple decades. Panama, with the least public-private investment over the study period, performs better than Mexico and Brazil with regards to port quality infrastructure and container throughput. For ports in the selected countries to keep up with global competition, there is a need to enhance efficiency. Originality/value - Compared with ports in Asia, Latin American ports are lagging behind with respect to container throughput and efficiency. This study suggests greater collaboration from the private sector, academia, and other organizations, as well as a review of the regulatory framework to ensure better transparency and project allocation. Throwing more light on the public-private investment environment of Mexico, Brazil, and Panama, this study offers policy makers and regulators insightful information on port infrastructure.

• Journal of Korea Port Economic Association
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• v.29 no.3
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• pp.1-23
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• 2013

This paper estimates and forecasts the container throughput of Busan port using the monthly data for years 1992-2011. To do this, this paper uses the several seasonal multiplicative ARIMA models. Among several ARIMA models, the seasonal multiplicative ARIMA model $(1,0,1){\times}(1,0,1)_{12}$ is selected as the best model by AIC, SC and Hannan-Quin information criteria. According to the forecasting values of the selected seasonal multiplicative ARIMA model $(1,0,1){\times}(1,0,1)_{12}$, the container throughput of Busan port for 2013-2020 will increase steadily annually, but there will be some volatile variations monthly due to the seasonality and other factors. Thus, to forecast the future container throughput of Busan port and to develop the Busan port efficiently, we need to use and analyze the seasonal multiplicative ARIMA model $(1,0,1){\times}(1,0,1)_{12}$.

• Journal of Korea Port Economic Association
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• v.32 no.2
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• pp.25-37
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• 2016

The economy of South Korea has experienced two financial crises: the 1997 Asian financial crisis and the 2008 global financial crisis. These crises had a significant impact on the nation's macro-economic indicators. Furthermore, they had a profound influence on container traffic in container ports in Busan, which is the largest port in South Korea in terms of TEUs handled. However, the impact of the Asian financial crisis on container throughput is not clear. In this study, we assume that the two financial crises are independent and different, and then analyze how each of them impacted container throughput in Busan ports. To perform this analysis, we use an intervention model that is a special type of ARIMA model with input series. Intervention models can be used to model and forecast a response series and to analyze the impact of an intervention or event on the series. This study focuses on the latter case, and our results show that the impacts of the financial crises vary considerably.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.19-25
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• 2003

Since container throughput is continually increasing, the main issues facing decision-makers at port container terminals are how to expand the existing container terminals and construct new container terminals. Simulations that support user needs require modeling tools that are both easy to use and sufficiently to reflect real world system. The object-oriented approach provides for both reusability and modularity that best fits these requirements. This paper present the design procedure a simulator for port container terminal that was based on the object-oriented approach. The simulator in order to model and simulate the TC-based container terminals is developed.