• Title/Summary/Keyword: Development policy of Gwangyang Port

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An Empirical Comparison and Verification Study on the Seaport Clustering Measurement Using Meta-Frontier DEA and Integer Programming Models (메타프론티어 DEA모형과 정수계획모형을 이용한 항만클러스터링 측정에 대한 실증적 비교 및 검증연구)

  • Park, Ro-Kyung
    • 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.

A Study on the Asia Container Ports Clustering Using Hierarchical Clustering(Single, Complete, Average, Centroid Linkages) Methods with Empirical Verification of Clustering Using the Silhouette Method and the Second Stage(Type II) Cross-Efficiency Matrix Clustering Model (계층적 군집분석(최단, 최장, 평균, 중앙연결)방법에 의한 아시아 컨테이너 항만의 클러스터링 측정 및 실루엣방법과 2단계(Type II) 교차효율성 메트릭스 군집모형을 이용한 실증적 검증에 관한 연구)

  • Park, Ro-Kyung
    • 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.

Comparative Analysis on Competitiveness between Ports in Northeast Asia Employing Shift-share Analysis and DEA (변이할당기법과 DEA를 활용한 동북아시아 항만간 경쟁력 비교 분석)

  • Lee, Choongbae;Kwon, A Rim
    • Journal of Korea Port Economic Association
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    • v.30 no.4
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    • pp.219-254
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    • 2014
  • Due to the recent development of globalization and supply chain management, growth of international trade has led to increasing cargo volume around the world. Since maritime logistics environments have changed, increased container ship size, improvement of harbor equipment, global port operation and rapid technological development have had an significant effects on shipping and port industry, which is contributing to competitiveness of port. Since a larger volume of port throughputs are generally regarded as an indicator of the more competitive port, inefficient port operation could reduce its competitiveness. On the other hand, high efficient ports could increase their competitive power while increasing cargo volume. This study aims at comparing competitiveness of the ports in the Northeast Asia by investigating changes of container throughputs and evaluating efficiency performance of ports. Shift-Share analysis and Data Envelopment Analysis(DEA) have been conducted with 21 Northeast Asian ports and then separated them into 4 groups for comparative analysis to identify competitive position of each port. The results of this study show that Incheon and Gwangyang port have been decreased container cargo volume, while volume of Busan port would increase by means of active marketing, various route development and incentive policy for the port.

The Analysis on Container Railroad Transit Capacity in Busan Port (부산항 컨테이너화물의 철송 능력 분석)

  • Hur, Yun-Su;Lee, Jae-Won
    • Journal of Navigation and Port Research
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    • v.27 no.5
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    • pp.585-591
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    • 2003
  • Recently, South korea is driving forward the strategy concerning of the logistics center of northeast asia aggressively on the purpose of promoting Busan port & Gwangyang port to the hub-port of northeast asia, In that situation, it is significant that the meaning, construction connecting between south and north railway. Namely, That is the reason why Busan port is satisfied with the combined transport system of not only marine transportation but also railway transportation completely, However, the research and policy is only focused on the connection of north-south railway so far. The ability of Buans railway equipment as the actual role of origin-destination point of TKR(Trans Korean Railway), was not reviewed. Therefore, this research is shown the problem and reality of the railway transport concerning the centralization of Busan port, and the capacity of Busan port railway facility regarding the increase of future container quantity is reviewed and analyzed Moreover, the object, shown the importance of facility expansion such as Gungbu Trans Express between Daegu and Busan and the improvement scheme for railway transportation activation through the analysis of society cost and the logistics cost of the ability of railway facility, is set up.

Study of major issues and trends facing ports, using big data news: From 1991 to 2020 (뉴스 빅데이터를 활용한 항만이슈 변화연구 : 1991~2020)

  • Yoon, Hee-Young
    • Journal of Korea Port Economic Association
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    • v.37 no.1
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    • pp.159-178
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    • 2021
  • This study analyzed issues and trends related to ports with 86,611 news articles for the 30 years from 1991 to 2020, using BIGKinds, a big data news analysis service. The analysis was based on keyword analysis, word cloud, relationship diagram analysis offered by BIG Kinds. Analysis results of issues and trends on ports for the last 30 years are summarized as follows. First, during Phase 1 (1991-2000), individual ports such as Busan, Incheon, and Gwangyang ports tried to strengthen their own competitiveness. During Phase 2 (2001-2010), efforts were made on gaining more professional and specialized port management abilities by establishing the Busan Port Authority in 2004, the Incheon Port Authority in 2005, and the Ulsan Port Authority in 2007. During Phase 3 (2011-2020), the promotion of future-oriented, eco-friendly, and smart ports was major issues. Efforts to reduce particulate matters and pollutants produced from ports were accelerated, and an attempt to build a smart port driven by port automation and digitalization was also intensified. Lastly, in 2020, when the maritime sector was severely hit by the unexpected shock of the COVID-19 pandemic, a microscopic analysis of trends and issues in 2019 and 2020 was made to look into the impact the pandemic on the maritime industry. It was found that shipping and port industries experienced more drastic changes than ever while trying to prepare for a post-pandemic era as well as promoting future-oriented ports. This study made policy suggestions by analyzing port-related news articles and trends, and it is expected that based on the findings of this research, further studies on enhancing the competitiveness of ports and devising a sustainable development strategy will follow through a comparative analysis of port issues of different countries, thereby making further progress toward academic research on ports.