• Title/Summary/Keyword: 아시아항만

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An Empirical Study on the Clustering Measurement and Trend Analysis among the Asian Ports Using the Context-dependent and Measure-specific Models (컨텍스트의존 모형 및 측정특유 모형을 이용한 아시아항만들의 클러스터링 측정 및 추세분석에 관한 실증적 연구)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
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    • v.28 no.1
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    • pp.53-82
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    • 2012
  • The purpose of this paper is to show the clustering trend by using the context-dependent and measure-specific models for 38 Asian ports during 10 years(2001-2009) with 4 inputs and 1 output. The main empirical results of this paper are as follows. First, clustering results by using context-dependent and measure-specific models are same. Second, the most efficient clustering was shown among the Hong Kong, Singapore, Ningbo, Guangzhou, and Kaosiung ports. Third, Port Sultan Qaboos, Jeddah, and Aden ports showed the lowest level clustering. Fourth, ranking order of attractiveness is Guangzhou, Dubai, HongKong, Ningbo, and Shanghai, and the results of progressive scores confirmed that low level ports can increase their efficiency by benchmarking the upper level ports. Fifth, benchmark share showed that Dubai(birth length), and HongKong(port depth, total area, and no. of cranes) have affected the efficiency of the inefficient ports.

Development of EDI Model in the Port-Logistics Industries (항만물류산업에서 EDI 활성화 모형개발)

  • Shin Chang-Hoon;Kim Yul-Seong
    • Journal of Navigation and Port Research
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    • v.29 no.10 s.106
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    • pp.907-913
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    • 2005
  • The rapid growth of economy in china leads to concentrate throughput volume of World to North East Asia. Ports in North East Asia have to cope with rapid changes in environments. In order for a port to compete in the global market, it must provide proper productivity and promptly services of port. The system of information hold a key in port-logistic industries. Most ports make every effort to set up and operate the system of Information. Busan port already set up the system of port-logistic information such as Port-MIS, KROIS. But it is not activated yet because of problems of documentation duplication and system connectivity and so on. The purpose of this research is to make a model which can activate the system of port-logistic information. In addition, We suggest a definite and feasible model by group and types of port-logistic industry.

An Empirical Comparative Study on the Clustering Measurement Using Fuzzy(Average Index Transformation) DEA and Cross-efficiency Models (퍼지(평균지수변환)DEA모형과 교차효율성모형을 이용한 클러스터링측정에 대한 실증적 비교연구)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
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    • v.31 no.1
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    • pp.85-110
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    • 2015
  • The purpose of this paper is to show the clustering trend and the empirical comparison and to choose the clustering ports for 3 Korean ports(Busan, Incheon and Gwangyang Ports) by using the Fuzzy(Average Index Transformation) DEA and Cross-efficiency models for 38 Asian ports during 11 years(2001-2011) with 4 input variables(birth length, depth, total area, and number of crane) and 1 output variable(container TEU). The main empirical results of this paper are as follows. First, clustering results by using Fuzzy(AIT)DEA show that 3 Korean ports[Busan(56.29%), Incheon(57.96%), and Gwangyang(66.80%) each]can increase the efficiency. Second, according to Cross-efficiency model, Busan(Hongkong, Kobe, Manila, Singapore, and Kaosiung etc.), Incheon(Aquaba, Dammam, Karachi, Mohammad Byin Oasim and Davao), and Gwangyang(Damman, Yokohama, Nogoya, Keelong, Kaosiung, and Bangkok) should be clustered with those ports in parentheses. Third, when both Fuzzy(AIT)DEA and Cross-efficiency models are mixed, the empirical result shows that 3 Korean ports[Busan(71.38%), Incheon(103.89%), and Gwangyang(168.55%) each]can increase the efficiency. The efficiency ranking comparison among the three models by using Wilcoxon Signed-rank Test was matched with the average level of 66%-67%. The policy implication of this paper is that Korean port policy planner should introduce the Fuzzy(AIT)DEA, and Cross-efficiency models with the mixed two models when clustering is needed among the Asian ports for enhancing the efficiency of inputs and outputs. Also, the results of SWOT analysis among the clustering ports should be considered.

An Empirical Study on the Measurement of Clustering and Trend Analysis among the Asian Container Ports Using Self Organizing Maps based on Neural Network and Tier Models (자기조직화지도 신경망 모형과 Tier 모형을 이용한 아시아컨테이너항만의 클러스터링측정 및 추세분석에 관한 실증적 연구)

  • Park, Rokyung
    • Journal of Korea Port Economic Association
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    • v.30 no.1
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    • pp.23-55
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    • 2014
  • The purpose of this paper is to show the clustering trend and to choose the clustering ports for 3 Korean ports(Busan, Incheon and Gwangyang Ports) by using the self organizing maps based on neural network(SOM) and Tier models for 38 Asian ports during 11 years(2001-2011) with 4 input variables(birth length, depth, total area, and number of crane) and 1 output variable(container TEU). The main empirical results of this paper are as follows. First, clustering results by using SOM show that 3 Korean ports[Busan(26.5%), Incheon(13.05%), and Gwangyang(22.95%) each]can increase the efficiency. Second, according to Tier model, Busan(Hongkong, Sanghai, Manila, and Singapore), Incheon(Aden, Ningbo, Dabao, and Bangkog), and Gwangyang(Aden, Ningbo, Bangkog, Hipa, Dubai, and Guangzhou) should be clustered with those ports in parentheses. Third, when both SOM and Tier models are mixed, (1) efficiency improvement of Busan Port is greater than those of Incheon and Gwangyang ports. (2) Incheon port has shown the slow improvement during 2001-2007, but after 2008, improvement speed was high. (3) improvement level of Gwangyang port was high during 2001-2003, but after 2004, improvement level was constantly decreased. The policy implication of this paper is that Korean port policy planner should introduce the SOM, and Tier models with the mixed two models when clustering among the Asian ports for enhancing the efficiency of inputs and outputs.

A Trend Analysis on Export Container Volume Between Korea and East Asian Ports (우리나라와 동아시아 항만간의 수출 컨테이너 물동량 추이 분석)

  • Lee, Choong-Bae;Noh, Jin-Ho
    • Journal of Korea Port Economic Association
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    • v.34 no.2
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    • pp.97-114
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    • 2018
  • The East Asian region, an important part of Korea's imports and exports, is expected to grow further driven by the geographical, political, economic, social, and cultural complementarity. With the recent increase in imports and exports, the port trade volume between Korea and East Asian countries is also growing. However, due to various factors, such as economic size, growth rate, port infrastructure level, and geographical location of these countries, the volume of traffic with these ports is fluctuating. Despite much research on the volatility of port trade volume and changes in port network, this study tries to supplement the gap in a more detailed study of ports in Korea and East Asia since these kinds of studies are limited. The purpose of this study is to analyze the trend of distribution routes of export container cargo among ports in Korea and to present policy and practical implications of Korean trading companies, shipping companies, logistics companies, and port authorities. This study analyzes the variability of the trade volume between Korea's major ports and Daedong. Results show that Shanghai, Ningbo, Ho Chi Minh, and Haiphong were the most important factors in terms of size and volume increase. In terms of ports, the Busan port is the port responsible for trades with Yantai, Weihai, Hakata, Kobe, Ho Chi Minh, and Haiphong; Incheon port deals with Lianyungang, Tianjin, Osaka, Kobe, Ho Chi Minh, Haiphong; Gwangyang port trades with Tianjinxingang, Weihai, Yokohama, Mihn and Tanjong, and Ulsan port is strategically important for the Yantai, Lianyungang, Nagoya, Kobe, Ho Chi Minh and Portkelang ports. Therefore, the Korean government, port authorities, and shipping and logistics companies need to strengthen logistic network cooperation with these ports and actively promote investments in them.

AHP를 활용한 북극항로 관련 항만경쟁요소의 중요도 평가 연구

  • Ha, Ji-Hui;Kim, Gwang-Hui
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.06a
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    • pp.207-209
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    • 2014
  • 북극항로가 열리고 있다. 부산항의 북극해관련 문제점을 통한 문제해결의 우선순위를 알아내고자 한다. 이에, 동북아시아국가가 북동항로 이용할 경우 항만선택결정요인에 있어서 항만선택의 민감도에 따른 경쟁력요소를 분석한다. 이 항만경쟁력요소로 부산항의 문제해결우선순위를 밝히고자 한다. 이를 위하여 AHP분석을 하였다.

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국내 크루즈항만 이용활성화를 위한 정책적 개선방안

  • Hong, Jang-Won
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2012.10a
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    • pp.197-199
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    • 2012
  • 크루즈관광산업은 국제적 금융위기에도 불구하고 지속적 성장세를 유지하고 있으며 국제 크루즈선사들의 아시아 진출에 따라 동북아 크루즈관광산업은 최근 급속도로 성장하고 있다. 한편, 국내 크루즈산업은 크루즈항만을 중심으로 하는 수용태세가 미흡하며 국적 크루즈선사의 육성도 중국, 일본에 비하여 부족한 실정이다. 이 연구에서는 동북아 크루즈시장의 성장에 대응하기 위한 중장기 정책방향의 수립과 더불어 크루즈항만의 활성화전략 및 정책적 개선방안을 제시하였다.

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Establishment of Asia Maritime Education Center 아시아 해사영어 교육센터 구축에 관한 연구

  • Park, Jin-Su;Choe, Seung-Hui
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2016.05a
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    • pp.148-150
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    • 2016
  • 다국적 선원으로 구성된 선박환경에서 근무하는 선원들에게는 원활한 의사소통을 위한 영어구사능력뿐만 아니라 서로 다른 문화에 적절히 대응하고 융합하는 이문화 커뮤니케이션 능력함양이 절대적으로 요구된다 할 것이다. 특히 필리핀, 중국, 인도, 일본, 인도네시아, 한국, 미얀마를 비롯한 아시아 선원들이 전 세계 선원시장에서 차지하는 비중이 50%에 달하는 점과, 이들 국가들이 영어를 모국어로 사용하고 있지 않은 점을 고려할 때, 아시아 지역 선원들에 대한 해사영어 교육훈련의 중요성은 아무리 강조하여도 지나치지 않을 것이다. 따라서 이 연구에서는 아시아해사영어교육센터에 대한 구성과 역할 및 향후 추진방향 등을 제시하고자 한다.

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An Analysis of the Cruise Courses Network in Asian Regions Using Social Network Analysis (SNA를 이용한 아시아 지역 크루즈 항로의 네트워크 분석에 관한 연구)

  • Jeon, Jun-Woo;Cha, Young-Doo;Yeo, Gi-Tae
    • Journal of Korea Port Economic Association
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    • v.32 no.1
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    • pp.17-28
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    • 2016
  • This study examines the cruise course network structure in the Asian regions and the centrality of ports using social network analysis (SNA). For network analysis of Asian cruise courses, a data network of cruise courses was constructed using data on courses of cruise ships operating in Asian ports collected from the reports of the Cruise Lines International Associations.There are 249 nodes or ports of ship companies that provide cruise courses to Asia between from October 2015 to June 2016, and these nodes connect 545 ports. Density analysis based on ports where cruise ship companies operated cruise ships showed that, from October 2015 to June 2016, the density was 0.009, which was lower than the average of global port network density (2006 to 2011) and railroad network density. In addition, was calculated to be, which means that connection with all ports was possible through 2,180 steps. In the analysis of the Asian cruise course network centrality, Singapore ranked first in both out-degree and in-degree in connection centrality, followed by Hong Kong, Shanghai, Ho Chi Minh, and Keelung. Singapore also ranked first in the result betweenness centrality analysis, followed by Penang, Dubai, and Hong Kong. From October 2015 to June 2016, the port with the highest Eigenvector centrality was Hong Kong, followed by Ho Chi Minh, Singapore, Shanghai, and Danang. In the case of the domestic ports Incheon, Busan, and Jeju, connection centrality, betweenness centrality, and Eigenvector centrality all ranked lower than their competitor Chinese ports.