• Journal of Korea Port Economic Association
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• v.20 no.1
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• pp.141-151
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• 2004

Although the small and medium ports are actually competing with various strategies, the definition and structural understanding of small and medium ports are not known very much. Therefore this study has launched from this fact, and has the objective of obtaining the structural model for increasing shippers' attraction of small and medium ports. The process began by abstracting the components that composed the success factors through recent research, and grouping it by FA(Factor Analysis) method. Also, by using the FSM(Fuzzy Structural Modeling) method to understand the structure of the grouped components, and the structural model for increasing shippers' attraction of small and medium ports was able to obtain as the result. When analyzing the obtained structural model, easiness of shipment, connection to hubport and efficiency of hinterland network came out to be the most important component groups.

• Journal of Korea Port Economic Association
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• v.19 no.1
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• pp.189-206
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• 2003

This Paper deals with the development of Incheon International Airports and Pusan and Kwangyang Ports as Hub Ports in order to systemize nationwide logistics networks. Now, Korea has core competences in terms of social overhead capital, telecommunication, information technologies, all fields of manufacturing plants, and the other infra-structure. As the environments of North-East Asian countries changes dynamically, at least we should keep up with the situations which require to meet the globalized level of international logistics services in Pusan and Kwangyang Ports to be a competitive Hub Ports in this region.

• Proceedings of the Korea Port Economic Association Conference
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• 2003.07a
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• pp.325-342
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• 2003

This Paper deals with the development of Incheon International Airports and Pusan and Kwangyang Ports as Hub Ports in order to systemize nationwide logistics networks. Now, Korea has core competences in terms of social overhead capital, telecommunication, information technologies, all fields of manufacturing plants, and the other infra-structure. As the environments of North-East Asian countries changes dynamically, at least we should keep up with the situations which require to meet the globalized level of international logistics services in Pusan and KwangYang Ports to be a competitive Hub Ports in this region.

• Journal of Korea Port Economic Association
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• v.36 no.1
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• pp.77-90
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• 2020

Recent studies have offered ambiguous definitions of smart ports. These include smart ports being the only way that fully integrated ports can survive (Deloitte 2017) or ports that have a design based on Internet-of-Things technology to minimize waste of urban space and resources (Port Technology 2016). In addition, many port authorities are creating smart port strategies and have held research seminars focused on smart ports. This study sheds light on the following questions: Why do we need smart ports? Why should all ports be smart ports? Why are overseas advanced ports promoting smartization as soon as possible? What does the future look like for smart ports? Therefore, in this study, we explored the concept of smart ports based on previous research and examined the trends in smart port policies in the Netherlands, Germany, the UK, Italy, and Singapore. Finally, this study proposes useful policies for smart ports and also discusses policy directions that could make our ports truly smart ports.

• Journal of Korea Port Economic Association
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• v.18 no.1
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• pp.3-26
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• 2002

The purpose of this paper is to Investigate the productive efficiency and competitive strength of world container ports using the DEA, Super-efficiency, and FDH methods with the raw data from previous research by Jun et al.(1993). The super-efficiency measure examines the maximal radial change In input, outputs for an observation to remain efficient. Therefore, it provides a means of distinguishing between efficient observations, which would otherwise seem identical. FDH provides a good test mechanism for examining the practical implications of the choice available among alternative efficiency measures and orientations, because of the lack of convexity of its production possibility set. Both methods are complementary to DEA. This paper follows the traditional productivity analysis method overcoming the limitation of previous studies by using the DEA, FDH and Super-efficiency methods, and proposing in measure the relative competitive strength of worldwide container ports. The main empirical results of this paper are as follows: Firstly the ports of Singapore, Hongkong, Kilrung, Busan, Tokyo. and Longbeach were found to be efficient In the CCR model. The ports of Felixstowe, Bangkok, Singapore, Hongkong, Kilung, Busan, Tokyo, and Longbeach were found to be efficient in the BCC model. Secondly, super. efficiency rankings under CRS and input-oriented model are as follows: Longbeach, Keelung, Singapore, Busan, Tokyo, and Honkong. However, it was difficult In differenciate the rankings under the VRS and input-oriented model. due to major difficulties posed by the ports of Singapore, Hongkong, and Longbeach. Thirdly, the FDH method shows that the inefficient ports are Bremerhaven, Antwerp, Le Havre, Kobe, Seattle, New York The policy Implications of this study are as follows: Firstly, when port authorities want to measure the international competitive strength of container ports and enhance their productive efficiency, they should consider the traditional method as well as introducing the Super-efficiency and FDH methods. Secondly, according to the analysis results of the super-efficiency and FDH methods, poll authorities should recommend benchmarks ports and dominated ports as reference ports in order to enhance the productive efficiency of their container ports that have an efficiency rating of less than 1. Efficient ports whose efficiency ratings are over 1 in the Input-oriented Super-efficiency model should also consider the usage of input and output elements used by more efficient ports.

• Journal of Navigation and Port Research
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• v.39 no.5
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• pp.393-399
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• 2015

Recently, the fierce competitions in the shipping industry and the global economic downturn have heavily influenced ports' operational strategies. In order for port authorities to remain competitive at an international level and to provide more accurate information to develop National policies, ports are required to analyse and improve operations' efficiency. In this paper, the efficiency of 19 Italian ports in 2013, handling different types of cargoes, is assessed through the application of Data Envelopment Analysis (DEA), with constant return to scale (CRS) and variable return to scale (VRS). The purpose of this study is to analyze the efficiency of Italian ports and evaluate whether differences in size and specialization of each port (or cargo handled) are directly correlated with ports' efficiency.

• Journal of Navigation and Port Research
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• v.36 no.7
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• pp.535-544
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• 2012

In order to improve the overall ASEAN maritime transport network, each port's efficiency is regarded as a crucial factor that should be calculated periodically. This study evaluated the relative efficiency of container port operations of 32 ports belonging to 9 ASEAN nations using Data Envelopment Analysis (DEA). It found that 2 out of 32 ports in 2010 were measured as efficient ports. This study yielded two major findings. Firstly, the ports assessed as inefficient need to benchmark similar ports in size and structure from the ports that are assessed as efficient to improve their efficiency. Secondly, these results could be used to determine potential candidates and country for an international port development co-operation programme with Korea to improve the performance of the entire ASEAN port network by developing the infrastructures of ill-equipped ports.

• Journal of Korea Port Economic Association
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• v.17 no.1
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• pp.27-51
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• 2001

The purpose of this paper is to investigate the productive efficiency of world container ports by using the DEA (Data Envelopment Analysis) method and raw data from previous research in measuring the international competitiveness of world container ports. Ports have to cope with rapid changes in shipping environments. In order for a port to compete in the global market, it must provide port services promptly and accurately. Basically, there are two approaches to measuring the international competitiveness of a container port. First, there is the traditional productivity analysis method, which analyzes productivity based on the container port's facilities (efficiency, selectivity, land availability), and by its general capacity (handling ability, storage capacity, terminal productivity). Second there is multi-attribute utility analysis, which considers several elements including the reasons for selecting particular container ports and factors determining international competitiveness. This paper follows the first method (traditional productivity analysis) and extends the limitation of previous studies by using the DEA method newly, and suggesting: the relative productive efficiency of container ports. The main results of this paper are as follows: First, the results of the DEA analysis in terms of world container ports matches that of a previous study (Jun et al., 1993) at a level of 35%. The low ratio is due to the constrained set of input-output elements, the result of only twenty container ports being analyzed in this paper. Second, the result of the DEA analysis in terms of North-East Asia's container ports matches with that of a previous study (Ha, 1996) at a level of 100 percent. Therefore we can conclude that the DEA analysis is the best measurement method for international competitiveness. Policy implications for this study are as follows: First, when port authorities want to measure the international competition power of container ports and enhance their productive efficiency, they should consider the traditional method and newly introduce the DEA method. Second, according to the analysis results of the DEA method, pen authorities should recommend benchmarking ports as reference ports in order to enhance the productive efficiency of container ports that show an efficiency score of below 1.

• Journal of Navigation and Port Research
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• v.27 no.3
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• pp.315-320
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• 2003

Since the beginning of open-door policy, China has been making rapid annual growth with an average 10% economic development. And due to this rapid growth, cargo volumes via ports have been also rapidly increased, and accordingly, current China government has intensively invested in port development. Further, this development project is significantly big scale, compared with those project 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, it has been very important issue for Korea and Busan port to investigate or analyze Chinese ports based on empirical data. Especially, although various studies related to Shanghai and Hong Kong have been conducted, the competitiveness of overall Chinese major ports has been little studied. In this paper, we analyzed competitiveness level of eight Chinese ports with capabilities as container terminal, based on reliable sources. From data analysis, eight Chinese ports were classified into four groups according to competitiveness level. Rankings among four clusters based on competitiveness level are cluster(Hone Kong), cluster C(Shanghai), cluster A(Qingdao, Tianjin, and Yantian) and cluster D(Dalian, Shekou, and Xiamen).

• Journal of Korea Port Economic Association
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• v.31 no.2
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• pp.85-101
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• 2015

This study formulates a development strategy for Gwangyang port through the analysis of its competition with other major Northeast Asian ports. A revised BCG matrix is applied to estimate the change in competition between the major ports in Northeast Asia and the Lotka-Volterra model is used for the competitor analysis. The growing competitive power and influence of Chinese ports, continued competitive advantage of Busan port, diminishing competitiveness of Gwangyang and Incheon ports, and disappearing competitive position of Japanese ports in Northeast Asia are all confirmed. In addition, according to the relationship between Gwangyang port and other major Northeast Asian ports from 2007 to 2014, Gwangyang port has changed to a predatory from a win/win relation with Busan port and has maintained its predatory relationship with Hong Kong port in terms of transshipment cargoes. Moreover, Gwangyang port has formed predatory relationships with Shanghai and Ningbo ports, a pure competitive relation with Tianjin port, and a win/win relation with Qingdao and Dalian ports. Overall, predatory relationships between Gwangyang port and other Northeast Asia ports increased from 2007 to 2014. The counterstrategies for Gwangyang port to address this situation include establishing cooperative relations and continuing the win/win relationships with cooperative ports.