• Journal of Korea Port Economic Association
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• v.28 no.4
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• pp.209-229
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• 2012

There have been lots of studies on locational factors of companies, but, very few studies for Korean shipping companies. This study analyzes locational factors for Korean shipping companies using AHP(Analytic Hierarchy Process) method. For the study model, the first level is consisted by software, hardware and city policy factors. As more specific factors, the second level is formed by three factors of the first level. The third level consists of Seoul and Busan to evaluate competitive advantage for location of shipping companies. We carried out an analytical survey focused on the executives of shipping companies and related experts, and derived the priority order for locational factors of Korean shipping companies as follow. Firstly, software factors turned out the most important factor for location of Korean shipping companies. Next, Busan has a competitive advantage only in city policy factors. However, there are much of competitive disadvantages in both software and hardware factors for location of shipping companies compared against Seoul.

• Journal of Korea Port Economic Association
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• v.33 no.3
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• pp.105-120
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• 2017

This study analyzed changes in the competitive structure of the global shipping container market and the appropriate capacity of the container fleet in Korea from three perspectives. The competitive market analysis applied the market concentration ratio and Hirschman-Herfindahl index, while the appropriate capacity analysis was based on the following three aspects: (1) Fleet capacity to secure competitiveness in the global shipping alliance; (2) Fleet capacity to increase national fleet coverage of domestic import and export container cargo; and (3) Fleet capacity analysis through the panel model considering the characteristics of the major shipping countries. Analysis of the global shipping container market reveals an oligopoly industry, and Korea's container fleet capacity is insufficient across all three analyses.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.89-102
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• 2021

The purpose of this paper is to study the impact of shipping service firm's perceived relational benefits on switching barriers and loyalty focusing on tug boat service. To achieve the purpose of the research, literature survey on existing literature, thesis, research report is performed and also reliability analysis, validity test and multiple regression analysis using SPSSWIN 18.0 is used in this research. To verify a research model and hypothesis, a questionnaire survey among employees of shipping companies and shipping agencies was executed. 76 copies of total 200 copies of questionnaires were collected and the number of questionnaire used for empirical analysis was 76 copies. The main results of the study are summarized as below. First, Hypothesis 1 "shipping service firm's perceived relational benefits has a positive impact on the switching barrier" was supported by this study. Second, Hypothesis 2 "shipping service firm's perceived relational benefits has a positive impact on the loyalty" was supported in this research. Finally, Hypothesis 3 "switching barrier has a positive impact on the customer's loyalty" was also supported. Further research can be extended by adding more questionnaires including more shipping service firms all over the nation.

• Journal of Navigation and Port Research
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• v.47 no.3
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• pp.167-173
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• 2023

The manufacturing industry is the backbone of the Korean economy. Among them, the petrochemical industry is a strategic growth industry, which makes a profit through reexports based on eminent technology in South Korea which imports all of its crude oil. South Korea imports whole amount of crude oil, which is the raw material for many manufacturing industries, by sea transportation. Therefore, it must respond swiftly to a highly volatile tanker freight market. This study aimed to make an early warning model of crude oil shipping market using a signal approach. The crisis of crude oil shipping market is defined by BDTI. The overall leading index is made of 38 factors from macro economy, financial data, and shipping market data. Only leading correlation factors were chosen to be used for the overall leading index. The overall leading index had the highest correlation coefficient factor of 0.499 two months ago. It showed a significant correlation coefficient five months ago. The QPS value was 0.13, which was found to have high accuracy for crisis prediction. Furthermore, unlike other previous time series forecasting model studies, this study quantitatively approached the time lag between economic crisis and the crisis of the tanker ship market, providing workers and policy makers in the shipping industry with an framework for strategies that could effectively deal with the crisis.

• 해운
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• s.83
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• pp.12-16
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• 2011

2011년 하반기 세계경제는 고유가와 유럽 재정우기 등 상반기 충격요인들의 향배에 의해 결정될 것이다. 3분기에도 4%대의 소비자물가 상승세가 이어지면서 국내경기는 하반기 중 회복의 활력이 세지 않을 전망이다. 원화절상, 일본 대체효과 소멸 등으로 수출활력이 다소 둔화되고 설비투자도 대기수요가 충족되면서 상승세가 꺾일 전망이다. 이에 따라 2011년 하반기 국내경제 성장률은 4.5%, 연간으로는 4.1% 수준을 기록할 것으로 전망된다. 가계부채, 건설사 및 저축은행 부실문제 등이 우리경제의 장기적인 불안요인으로 작용하겠지만 단기간 내 경제에 심각한 충격을 줄 정도는 아닌 것으로 보인다. 하반기 중에도 물가안정 대책에 초점이 두어져야 하며 단계적인 정책금리 인상으로 기대 인플레이션 상승을 억제할 필요가 있다. 하반기의 시작점에서 경제악화 요인들은 어떠한 것들이 있으며, 효과적으로 대처하기 위해서 현재의 상황과 앞으로의 전망을 살펴볼 필요가 있다. 다음은 LG 경제연구소에서 발표한 "2011년 하반기 세계경제 환경 및 국내경제 정책 전망"의 주요 내용을 정리 요약한 것이다.

• 해운
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• s.75
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• pp.19-23
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• 2010

2010년 세계 경제는 중국 등 신흥국들을 중심으로 한 완만한 회복세를 시현하였다. 그러나 미국 주택금융 침체 계속, 유럽 국가부채증가 등 다양한 불안성과 불확실성이 상존하면서 2011년 무역환경은 변동성이 확대될 것으로 전망되고 있다. 다음은 무역협회에서 발표한 '2011년 무역환경전망' 발표자료를 정리 요약한 것이다.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.1-11
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• 2011

In much the same way as the US Lehman crisis of 2008-2009 severely impacted the European economy through financial market dislocation, a European banking crisis would materially impact the US economy through a generalized increase in global risk aversion. A deepening of the European crisis could very well derail the US economic recovery and have a harmful impact on the Asian economies. This kind of vicious circle could be a bad news to the shipping companies. The purpose of the study is to predict the Baltic Dry Index representing the shipping business during the period of 2012 using the ARIMA-type models. This include the ARIMA and Intervention-ARIMA models. This article introduces the four ARIMA models and six Intervention-ARIMA models. The monthly data cover the period January 2000 through October 2011. The out-of-sample forecasting performance is also calculated. Forecasting performance is measured by three summary statistics: root mean squared percent error, mean absolute percent error and mean percent error. The root mean squared percent errors, however, are somewhat higher than normally expected. This reveals that it is very difficult to predict the BDI The ARIMA-type models show that the shipping market will be bearish in 2012. These pessimistic ex-ante forecasts are supported by the Hodrick-Prescott filtering technique.

• Journal of Korea Port Economic Association
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• v.23 no.1
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• pp.75-93
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• 2007

It is recent trend that every countries are opening their border in the name of liberalization of contemporary era. Shipping is not exceptional and it used to be said as international business. Therefore, co-operation and openness of maritime sectors between regional countries is required to utilize resources that each countries can manage. It can be done by employing their vessels in other countries' short sea area. However, there are some problems to implement this practices, here cabotage is centre of issue. Each countries do not open their sea in order to protect their national interests in sovereignty. But, it should be opened if co-operation between each countries work well and properly. To achieve true maritime co-operation, countries as Korea, China and Japan in Northeast Asia region should have understanding for the opening of cabotage. In order to make things work well, it can be done by the lessons from EU and American cases. Therefore, it should be clarified such as market scale to provide cabotage trade, employment as well as interested parties, and technical safety matters as well as environmental standards. Then cabotage matters can be smoothly resolved between three countries in Northeast Asia region.

• Journal of Korea Port Economic Association
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• v.33 no.4
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• pp.17-36
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• 2017

In the modern economic context, it is apparent that there is a strong focus on the importance of global shipping industry. Recently, the world economic crisis has negatively influenced the industry with regard to both supply and demand, which has seen almost no sign of recovery. The fact that the entire industry is operating with low efficiency and at a low profit state has made all stakeholders anxious. This research examines the financial performance of the world's major shipping lines in order to give maritime stakeholders a closer look into the industry behind the ranking. Besides, the research evaluates the competitiveness of shipping companies in terms of financial ability and suggestions for strategic actions to stakeholders are provided. For these purposes, Fuzzy-C Means is used to cluster the selected lines into different groups based on their financial indices, namely liquidity, asset management, debt management and profitability. Levene's tests which are then followed by ANOVA tests are also utilized to assess the robustness of the clustering outcomes. The results indicate that liquidity, solvency and profitability act as the main criteria in the classification problem.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.207-218
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• 2010

The purpose of the study is to predict the shipping business during the period of 2011 using the ARIMA-type models. This include the ARIMA and Intervention-ARIMA models. The multivariate cause-effect econometric model is not employed for not assuring a higher degree of forecasting accuracy than the univariate variable model. Such a cause-effect econometric model also fails in adjusting itself for the post-sample. This article introduces the four ARIMA models and six Intervention-ARIMA models. The monthly data cover the period January 2000 through October 2010. The out-of-sample forecasting performance is compared between the ARIMA-type models and the random walk model. Forecasting performance is measured by three summary statistics: root mean squared percent error, mean absolute percent error and mean percent error. The root mean squared percent errors of all the ARIMA-type models are somewhat higher than normally expected. Furthermore, the random walk model outperforms all the ARIMA-type models. This reveals that the BDI is just a random walk phenomenon and it's meaningless to predict the BDI using various econometric techniques. The ARIMA-type models show that the shipping market is expected to be bearish in 2011. These pessimistic ex-ante forecasts are supported by the Hodrick-Prescott filtering technique.