• Journal of Korea Port Economic Association
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• v.20 no.2
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• pp.187-216
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• 2004

Northeast Asia logistics hub strategy was undertaken by Korean Government to gain a national competitive advantage in Northeast Asia. Current Government has Northeast Asian Economic Hub Strategy including construction of SOC in Northeast Asia for promoting peace, promotion of formation of Northeast Asia Community, logistics hub, Financial hub and national innovation for R&D Cluster. To realize Northeast Asian logistics hub, the Northeast Asia logistics hub road map has undertaken as follows: expansion of logistics infra in Incheon Airport, Busan Port and Gwangyang Port, systematic improvements such as adjustment of investment distribution, special logistics companies, transparent customs in logistics transactions, logistics manpower, improvement of system supporting global logistics and attraction of international logistics companies to the logistics center, construction of seamless and paperless logistics information network, Northeast Asia railway infra. The purpose of this paper is to study investment priority and improvements in the Northeast Asia Logistics Hub Road Map and to contribute to gain the national competitive advantage as logistics hub in Northeast Asia

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.49-59
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• 2004

In order to be a hub-port in Northeast Asia, current China government has intensively invested in port development. Further, this development Project is significantly big scale, compared with those projects 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, recently many studies to evaluate competitiveness between Korean ports, especially Busan and Gwangyang, and Chinese ports have been conducted. In the mean time, implications of those pervious research has mainly been based on evaluation of port competitiveness using evaluation methodologies, such as AHP(Analytical Hierarchy Process) and HFP(Hierarchical Fuzzy Process). However, as previous evaluation algorithms are methodologies that only calculate ranking of ports by competitiveness level, from the results of analysis, critical weak points affected current port competitiveness could not clearly fine out. That is, because there has not been any algorithm that can extract critical points from the evaluation results. The aim of this paper is to present critical points that affect port competitiveness using an algorithm based on IRFE(Inverse Relation of Fuzzy Evaluation), and scenario analysis, from previous results of evaluation of port competitiveness. And The research scope is to covey the subjective ports of Korea and China's 7 major ports (Busan, Gwangyang, Sanghai, Qingdao, Tienjin, Dalian and Kaoshuing). From analysis, it was found that critical weak point of Busan port is the level of hinterland including availability of free trade zone.

• Journal of Ecology and Environment
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• v.35 no.2
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• pp.123-129
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• 2012

Salt marsh is an important transitional zone among terrestrial, riverine, and marine ecosystems and is a productive habitat that interacts extensively with adjacent landscape elements of estuarine and coastal ecosystems. Nowadays, in addition to various human activities, a variety of natural processes induce changes in salt marshes. This study aims to provide background information to restore disturbed salt marshes and to propose their ecological restoration using seed banks. The study area is a prepared area for the Gwangyang Container Port located in the southern Korea. This area was formed by accumulating mud soils dredged from the bottom of the forward sea. This land was created in a serial process of preparing the Gwangyang container port and the salt marsh was passively restored by seeds buried in mud soil dredged from seabed. As a result of stand ordination based on vegetation data collected from the land, stands were arranged according to tolerance to salinity in the order of $Suaeda$ $maritima$, $Salicornia$ $europaea$, and $Phragmites$ $communis$ communities on the Axis 1. Landscape structure of the projected area was analyzed as well. Edges of the projected area were divided from the marginal waterway by the dike. Four types of vegetation appeared on the dike: $Alnus$ $firma$ plantation, $Robinia$ $pseudoacacia$ plantation, $Lespedeza$ $cyrtobotrya$ plantation, and grassland. In the more internal areas, two types of vegetation sequences appeared: $Aster$ $tripolium$ community-$Suaeda$ $glauca$ community-$Salicornia$ $europaea$ community sequence and $Aster$ $tripolium$ community-$Suaeda$ $maritima$ community-$S.$ $europaea$ community sequence. Mixed community showed the highest species diversity (H' = 0.86) and $S.$ $europaea$ community showed the lowest (H' = 0.0). Evenness is the highest in Mixed community (J' = 2.26) and the lowest in $S.$ $maritime-S.$ $europaea$ community (J' = 0.0). Several plant communities were successfully established on the land created by mud soil dredged from the bottom of Gwangyang Bay. Moreover, community diversity in this area approached a similar level with those from other studies involving natural salt marshes. Therefore, restoration effect based on community diversity obtained in our study can be evaluated as a successful achievement. In this respect, although most salt marshes in Korea and other places worldwide have been destroyed or disturbed by excessive land use, feasibility of seed bank as a restoration tool is greatly expected.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.1-26
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• 2011

This study was conducted to select the location of the logistics center for environment-friendly agricultural products in the Gwangyang Bay Area. AHP(Analytic Hierarchy Process) technique was used to examine location selection factors and factor hierarchy was made through a questionnaire survey and an expert interview for objective and quantitative decision. The hierarchy process of location factors of logistics center for environment-friendly agricultural products in the Gwangyang Bay Area were categorized into five factors such as natural factors, economic factors, social factors, distribution efficiency, and land use plan. Then, those factors were sub-categorized into three factors each. As a result of pair-wise comparison analysis of five categories, the weight of economic factors was the highest, and easy cargo transportation, fitness to higher-order plan, climate, land price, and limitation regulations of sub-categorized factors appeared as comparative evaluation criteria. The priority of the final candidate was decided through this process. While the weight of the Yulchon II Industrial Complex was the highest in natural and economic factors were the highest, the weight of the Gwangyang Hwanggeum Industrial Complex was the highest in social factors, distribution efficiency, and land use plan. The result of the final analysis showed that the Gwangyang Hwanggeum Industrial Complex was the most optimal location candidate for the logistics center for environment-friendly agricultural products.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.3256-3263
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• 2011

Large scaled railway freight transportation facilities in harbors are located in Busan port and Gwangyang port. The port rail depot plays an important role as the departure and destination function of railway logistics. However, presently, it is not relatively vitalized because it is not reflect the railway freight transportation's characteristics such as scale of railway tracks or yards area. In addition, even if port rail depot is vitalized, processing capacity is already saturated. Therefore, it is difficult to increase rail transport quantity. To activate railway container transportation business, it is very necessary to recalculate the facility size of port rail depots. Focused on the Busan new port rail depot, this paper analyzes the problems of port rail depot facility that has currently opened and finds some alternatives to resolve them.

• Proceedings of the Korea Port Economic Association Conference
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• 2007.07a
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• pp.255-270
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• 2007

In North-East Asia, Port traffic in Asia-North America sea route has been rapidly increasing due to economic growth in China and ASEAN. Furthermore, the major shipping companies directly call at northern chinese ports like Qingdao, Dalian and Tianjin without passing through Korean ports on Asia-North America sea route. To acquire a port traffic and develop a hub port, governments in North-East Asia have intensively invested in the development of port. Therefore, Busan new port and Gwangyang port have been developed in Korea. According to the medium-long term development planning, the port should give a enormous budget investment for the port facilities construction. So the inaccurate estimation may lead to the unreasonable port development policy. Firstly, based on the estimation of Chiang Bong-Gyu & Yang Hang Jin(2005), this study gave a comparison with the estimation of Ministry of Maritime Affairs and Fisheries(2001) and OSC/Glori(2005). Secondly, taking into account the influence factors for port traffic, this study made an estimation of port traffic for Busan new port. On the basis of this estimation, this study is compared with the estimation of Ministry of Maritime Affairs and Fisheries(2001) and OSC/Glori(2005). In conclusion, in case of the development of Busan new port, based on the estimation of Ministry of Maritime Affairs and Fisheries(2001), this study should the high possibility that the Busan new port will be serious lack of the port facilities in the year of 2011. And according to the OSC/Glori(2005)'s estimation result, there is a lack of the port facilities, though we have modified the port investment plan.

• 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.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.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.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.