• Journal of Korea Port Economic Association
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• v.33 no.2
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• pp.53-82
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• 2017

The purpose of this study is to show the clustering trend and compare empirical results, as well as to choose the clustering ports for 3 Korean ports (Busan, Incheon, and Gwangyang) by using meta-frontier DEA (Data Envelopment Analysis) and integer models on 38 Asian container ports over the period 2005-2014. The models consider 4 input variables (birth length, depth, total area, and number of cranes) and 1 output variable (container TEU). The main empirical results of the study are as follows. First, the meta-frontier DEA for Chinese seaports identifies as most efficient ports (in decreasing order) Shanghai, Hongkong, Ningbo, Qingdao, and Guangzhou, while efficient Korean seaports are Busan, Incheon, and Gwangyang. Second, the clustering results of the integer model show that the Busan port should cluster with Dubai, Hongkong, Shanghai, Guangzhou, Ningbo, Qingdao, Singapore, and Kaosiung, while Incheon and Gwangyang should cluster with Shahid Rajaee, Haifa, Khor Fakkan, Tanjung Perak, Osaka, Keelong, and Bangkok ports. Third, clustering through the integer model sharply increases the group efficiency of Incheon (401.84%) and Gwangyang (354.25%), but not that of the Busan port. Fourth, the efficiency ranking comparison between the two models before and after the clustering using the Wilcoxon signed-rank test is matched with the average level of group efficiency (57.88 %) and the technology gap ratio (80.93%). The policy implication of this study is that Korean port policy planners should employ meta-frontier DEA, as well as integer models when clustering is needed among Asian container ports for enhancing the efficiency. In addition Korean seaport managers and port authorities should introduce port development and management plans accounting for the reference and clustered seaports after careful analysis.

• Journal of Korea Port Economic Association
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• v.29 no.1
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• pp.23-45
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• 2013

This paper aims to identify the problems of incentives and find a solution to them by empirically analyzing the port incentives and the development of cargo volume. The current method of paying performance incentives and cargo-increase incentives makes it is possible for shipping companies to get the maximum incentives just by regulating cargo volumes without increasing them. Since the processing volume of transshipment cargo of the Busan port is over the volume eligible for the maximum incentive determined by the tie-up of shipping companies, the transshipment cargo can decrease. The incentive of the Busan port based on the cargo record and increase does not affect the increase of transshipment cargo, only to suffer a loss, and thus a new incentive system is needed that does not allow shipping companies to regulate cargo volumes. Based on the result of this study, We have to apply the even-handed incentive rule which pays the incentive for the cargo volume of the pertinent year with the unit price per 1 TEU to avoid the chicken game among the ports.

• Journal of Korea Port Economic Association
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• v.24 no.4
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• pp.25-46
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• 2008

By using data envelopment analysis(DEA) this research measures the efficiency of Korea's five seaports and their Malmquist productivity from 1997 to 2006. Under the assumption of CRS(constant returns to scale) and VRS(various returns to scale), seaports' rankings of efficiency are measured. Busan port is confirmed as a best-performed port in the various measurements. Important finding facts are as follows. 1)Busan, lncheon and Ulsan seaports are efficient ports under the assumption of CRS and VRS. 2)Gwangyang port shows 4.3% lower efficiency level compared with efficient ports. 3)Pohang port shows 27.3% lower efficiency level compared with efficient ports. 4)Average total factor productivity of Korea's five ports has been lower at the rate of 3.1% during the period from 1997 to 2006. Main policy implications are 1)Busan port is more efficient than Gwangyang port, which reflects the difference of economic activities between two regional econmies. 2)During the period 1997-2006, Korea's five largest ports has experienced lower efficiency levels in the first half period because of the 1997 Korean Financial Crisis, but higher efficiency levels in the second half period because of economic recovery. In future research the more and better data will be expected to improve the understanding of Korean seaports' efficiency characteristics.

• Journal of Korea Port Economic Association
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• v.21 no.4
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• pp.239-253
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• 2005

Although logistics service quality is considered an essential strategy for success and survival in today's internet environment, there are still a lot of question: what variables determine the extent of logistics service effect, how difficultly do the determinants affecting logistics service effect and how accomplish the decision making in the implementation of inter-organization information system. The purpose of this study is to examine a model to utilize the application and effect of logistics service through e-marketplaces. The results of empirical analysis are mentioned as follows; First, among the interorganization information system factors, four variables(top management support in organization characters, competitive degree in environment characters, relative advantage and information efficiency in innovation characters) have been shown to be primary determinant of the effect of logistics service quality. Second, the type of independent variable used results in a significant difference in the effect of logistics service quality. Third, Korean firms have to pursue the corporate strategy focused on logistics service quality.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.18 no.1
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• pp.35-42
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• 2006

Recently, the harbor function is being reconsidered with the viewpoint of logistics, and various efforts are given to enhance the harbor performance agglomerating all procedures of stevedoring, treatment and background transportation of freight. The harbor performance largely depends on the efficient combination of the engineering part of harbor construction and the forthcoming logistics part. It may thus be anticipated in the future that the design concept of harbor construction will be transferred to a comprehensive consideration integrating both engineering and logistics parts to maximize the ultimate harbor operational performance. In the present study, various indicators for assessing a modem container terminal performance are presented far the purpose of helping harbor engineers understand the fundamental logistics through container handling operations. The indicators are compared, analyzed and compiled, by referring to the practical cases of Busan and Gwangyang ports as an illustration.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.31-70
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• 2021

The purpose of this paper is to measure the clustering change and analyze empirical results, and choose the clustering ports for Busan, Incheon, and Gwangyang ports by using Hierarchical clustering(single, complete, average, and centroid), Silhouette, and 2SCE[the Second Stage(Type II) cross-efficiency] matrix clustering models on Asian container ports over the period 2009-2018. The models have chosen number of cranes, depth, birth length, and total area as inputs and container TEU as output. The main empirical results are as follows. First, ranking order according to the efficiency increasing ratio during the 10 years analysis shows Silhouette(0.4052 up), Hierarchical clustering(0.3097 up), and 2SCE(0.1057 up). Second, according to empirical verification of the Silhouette and 2SCE models, 3 Korean ports should be clustered with ports like Busan Port[ Dubai, Hong Kong, and Tanjung Priok], and Incheon Port and Gwangyang Port are required to cluster with most ports. Third, in terms of the ASEAN, it would be good to cluster like Busan (Singapore), Incheon Port (Tanjung Priok, Tanjung Perak, Manila, Tanjung Pelpas, Leam Chanbang, and Bangkok), and Gwangyang Port(Tanjung Priok, Tanjung Perak, Port Kang, Tanjung Pelpas, Leam Chanbang, and Bangkok). Third, Wilcoxon's signed-ranks test of models shows that all P values are significant at an average level of 0.852. It means that the average efficiency figures and ranking orders of the models are matched each other. The policy implication is that port policy makers and port operation managers should select benchmarking ports by introducing the models used in this study into the clustering of ports, compare and analyze the port development and operation plans of their ports, and introduce and implement the parts which required benchmarking quickly.

• Journal of Navigation and Port Research
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• v.39 no.4
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• pp.371-376
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• 2015

Port is responsible for the important role that creates a lot of value-added export and import-intensive countries, critical infrastructure, and in the national economy. Despite being an important facility for the past, awareness of the port is insufficient; In 2000s, increasing the world container traffic volumes, China's economic development, and trade volume in the Northeast Asia to generate a lot of are changing the perception of the role and importance of the port. According to the review of the master plan and the port recognition in Korean Port, this study examines determining factors which affects the port cargo volume. The target of the study is domestic small and medium-sized container port that receives a large hinterland cargo volume, excluding the impact of the Global Hub Port like Busan and Gwangyang port. Factors that affect the multiple regression analysis result of the port cargo volume are berthing capacity, degree of activation, connection number of countries, GRDP and number of manufacturers.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.1
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• pp.167-172
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• 2022

Currently, ship control, tug, and pilot work in import/export ports including Gwangyang Port are operated according to factors such as the order of arrival and departure regardless of the shipping company. Also, even this is done very inefficiently by hand. Therefore, there is an urgent need to develop a system to increase the efficiency of port and ship operation through standardization and digitalization of tasks related to Berthing and unberthing of ships. In this study, we propose a method to increase the efficiency of port and vessel operation by designing a smart port operation system based on big data such as vessel location information, pilotage and tug schedule, arrival/departure operation information, and weather information.

• Journal of Navigation and Port Research
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• v.30 no.6 s.112
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• pp.499-508
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• 2006

Many changes lie ahead for Korea both domestically and internationally including opening of Busan New Port, more active Gwangyang Port as well as rapid growth of Shanghai Port and enhanced services and productivity at Shenzen Port. Compared to newer ports, container terminals in Busan Port possesses old equipment and facilities. Therefore, in order for Busan Port to maintain its service level and remain competitive, it needs to undergo remodeling to enhance productivity. Remodeling activities should be implemented on a continual basis by developing and applying new technologies such as those for gate system, berth system, yard system, and IT system In order to review the alternatives, we performed questionnaire survey and interview. From the result of analysis, we designed the application plan based on priority in remodeling, period of technology application, and direction for application.

• Journal of Korea Port Economic Association
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• v.28 no.4
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• pp.257-274
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• 2012

Since service competition among global supply chains became intensified, market-oriented system, instead of the existing cost-based system, for port service pricing has been strongly recommended in order to enhance their long-term viability and competitiveness. The Owen value of cooperative game frameworks allows us to apply a market-oriented pricing theory for the port pricing in the case of Gwangyang port to verify its usefulness. The analytical results of this paper suggested some solutions in the problem of berth-based cost allocation by a characteristic function and also showed the proper relative weights of factors to derive the quay use index by Budescu(1993). We also suggested a favorable port pricing system to major shipping firms as well as a discount port pricing system for their strategic alliance. To put it differently, the results of this study enable the port managers to make out some strategic port pricing system like the reasonable discount in port charge for the larger ship owners using the ports frequently.