• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.216-217
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• 2019

As the shipping market deteriorates, shipping companies seek to realize economies of scale by promoting the enlargement of container ships. Container terminal operators are increasingly adopting automated equipment and systems in order to quickly provide services and attract traffic. As such, the competition for each terminal to become a hub port is intensifying. Increased automation of advanced container terminals improves productivity and efficiency In the meantime, Korea remains semi-automated. Therefore, the relevant subject survey through SPSS 23.0 program for analysis of recognition difference, We will check the awareness among stakeholders for the smooth introduction.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.109-124
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• 2020

Using panel data on freight rates and ship prices in the dry freighter market from January 2015 to December 2019, this study investigates the characteristics of shipping industry fluctuations. The analysis aims at two aspects of academic contribution. First, this study analyzes the relationship between shipping indicators and ship price based on separate dry-bulk ships, while the previous research considered the overall shipping index and weighted average ship prices. Second, the VAR model for the causality test is extended to a heterogeneous mixed panel model capable of limiting coefficients. There is a peak estimated by removing the cross-correlation problem, which is mainly raised in panel data analysis, using bootstrap estimation and solving the problem of information loss due to differences in non-stationary data. An empirical investigation of the causal relationship between economic fluctuations and ship price shows that the effect on the ship price from the freight is significant at the 1% level. This implies that there is a one-way relationship with demand in the shipping industry rather than a bilateral relationship.

• Journal of Navigation and Port Research
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• v.41 no.4
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• pp.235-242
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• 2017

Earnings management is defined as an intentional act during the financial reporting process or a manager's choice of accounting policies to avoid earnings decreases or obtain some private gains. Shipping firms have a highly debt-intensive capital structure and a significant motivation in earnings management to avoid failure of a Debt Covenant. From this point of views, this paper tries to determine the relationship between the capital structure and discretionary accruals estimated using the re-modified Jones model (1995). The sample used to test the research models is made up of 87 Korean shipping firms during the period from 2007 to 2015. A histogram analysis, t-test and FGLS confirm the possibility of using earnings management, and it proved that Korean shipping firms manage their earnings to avoid financial loss. An analysis of the relationship between the capital structure and earning managements, shows it is difficult to support the Debt Covenant, shown as a negative relationship between the debt ratio and debt maturity as shipping firms' capital structure and discretionary accruals as earning management variable. An additional analysis presents a negative relationship between previous debt maturity and discretionary accruals, and the possibility of earning management in a highly increased debt ration group.

• Journal of Korea Port Economic Association
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• v.36 no.4
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• pp.93-106
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• 2020

Trade is an important economic activity. In particular, since the establishment of the World Trade Organization (WTO), the scope of trade has been expanding due to events such as the entry of China into the WTO in 2001, the establishment of a multilateral trading system, mitigation and integration of trade barriers, and the establishment of the free trade agreement (FTA). Despite the expansion of the trade market, however, extreme events such as the 2008 global financial crisis, the 2016 Brexit, and the 2018 US-China trade war have had a direct negative impact on the trade market. Therefore, the present this study analyzed the dependence structure between the international shipping freight rate index, a variable representing trade activities, and the trade uncertainty between the US and China. The following is a summary of the analysis results. First, the US-Chinese trade policy uncertainty and international shipping freight rate index presented a Frank copula and rotated Clayton copula 270° distribution, respectively, showing the same distribution structure for each country. Second, the Kendall's tau correlation revealed a negative dependence between the international shipping freight rate index and US-Chinese trade policy uncertainty. The degree of dependence was greater in the combination of uncertainty in China's trade policy and international shipping freight rates. In other words, the dependence of global demand and trade policy uncertainty confirmed that China was stronger than the US. Finally, the tail dependence results revealed that the US-Chinese trade policy uncertainty and international shipping freight rates were independent of each other. This means that extreme events related to the trade policy uncertainty or international shipping rate index were not affected by each other.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.133-134
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• 2009

선박의 대형화와 함께 해운 항만 시장이 급속히 변화하는 가운데 각 항만들은 항만 경쟁력을 가지기 위해 물동량 예측과 더불어 하역료를 바탕으로 한 부두사용료 수준에 대해 검토를 시행하고 있는 실정이다. 또한 부산북항 재개발과 관련하여 일반부두 폐쇄 및 터미널의 이전이 계획되어지는 가운데, 터미널 임대료 및 물동량 배분에 관한 연구가 활발하게 이루어지고 있다. 따라서 본 논문은 컨테이너 터미널의 주변여건 변화에 따른 컨테이너화물 물동량을 추정 및 예측하고, 기존 사용료 및 부산북항의 특정 터미널을 대상으로 향후 2020년까지의 사용료를 검토하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.74-75
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• 2023

선박의 자율지능기술은 국방분야에서 무인화 기술 개발로 시작하여, 최근에는 해운분야에서 자율운항선박의 도입에 관심을 갖게 되면서 자율운항선박 관련 기술 개발이 활발히 이루어지고 있다. 자율운항선박이 해상 물류의 수단으로 사용화되기 위해서는 자율운항선박의 항만 입출항을 위한 기술적, 제도적 기반이 마련되어야 한다. 특히 항만 운영의 효율성을 높이고 자율운항선박의 안전 운항을 보장하기 위해서는 자율운항선박의 입출항을 위한 여러 기술이 개발되어야 한다. 본 연구에서는 자율운항선박의 입출항을 위해서 요구되는 기능을 식별하고, 요구 기능이 개발되기 위해서 고려되어야 하는 사항을 검토하였다. 자율운항선박의 입출항 지원을 위해서는 항만과 선박의 정보 공유 및 동기화가 선행되어야 하고, 고품질 정보를 기반으로 스케줄링 및 운항 경로 계획이 수립되어야 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.233-235
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• 2022

43차 산업혁명이 도래함에 따라 해운분야에도 자동화 및 무인화 기술을 접목한 안정성과 효율성을 향상시키기 위한 기술개발이 진행중이다. 그중 선박의 신속하고 안전한 이/접안을 돕도록 고안된 자동계류시스템은 선박의 식별 정보와 융합센서로부터 다양한 정보를 수집해 인력의 개입이 최소화하거나 무인화할 수 있으며, 이는 계류 라인을 이용한 기존 방법 대비 발생하는 위험 요소를 줄이고 효율적인 도선 지원이 가능하게 한다. 본 연구팀은 기초단계 연구로서 자율 운항 선박 구현을 위한 자동 계류 시스템 개념 설계를 제시한다. 연구내용은 크게 자동 계류시스템의 하드웨어 설계, 제어 및 운용 프로세스 설계, 선체 계측 기술 개발, 운동변위/계류력 산정 수치모델 개발, 항만 내 운영환경 및 시나리오 분석으로 분류할 수 있으며 본 발표에서는 연구현황과 추후 진행 방향에 대해 다루도록 한다.

• Journal of Korea Port Economic Association
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• v.40 no.2
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• pp.107-118
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• 2024

There is broad agreement that emissions from the shipping sector play a large role in the global climate change debate. In theory, there is broad consensus that the industry must take decisive action to reduce greenhouse gas emissions and do its part to combat global warming. The United States has made great strides in addressing emissions from ships, but it is the IMO that plays a key role in shaping global standards for the shipping industry. In the case of Korea, legislation on emissions issues has been prepared, but there are still problems with administrative power. IMO's high-level vision and change, as seen above, requires intensive efforts from industry representatives and requires intensive measures from the government responsible for implementation. It is necessary to consider regulations and the position of the shipping market. However, out of consideration and respect for the urgent reality of global climate change, ship owners, operators and holding companies will need to take voluntary steps to reduce GHG emissions instead of waiting for a new regulatory framework.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.39-61
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• 2013

China, a leader of regional economies in North-East Asia, helps to integrate a single shipping market and affects diversely main ports in the region through affecting the flows of container transshipment, strategies of shipping companies for port calling and shipping networks. This study examines competition and cooperation among the hub ports in the region through studying examples of the three Chinese hub ports -Hong Kong, Shanghai, and Tianjin- and concludes some implications of status change of hub ports in the region after scrutinising development process of the Chinese main hub ports and the historic interaction of port development among these ports. The characteristics of growth pattern of three ports are as follows. The port of Hong Kong constructs step by step the container facilities in accordance with demand growth and prefers stabilisation of operation and management through scale enlargement of port facilities. Even though demand grows continually, the port of Shanghai continued its defensive attitude towards facility expansion till the 1990s and has tried to get economies of scale in enlargement of port facilities. The port of Tianjin, similarly as the two other ports, expands serially its facilities and utilizes the capacity concentration and functional specialisation of facilities. The analysis of panel data and panel regression of three hub ports implicates that each port has its own specific demand and shows that the interaction of container handling among three ports was weak in 1980s and has become stricter and stronger since 1990.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.159-182
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• 2018

The purpose of this study is to increase the competitiveness of big data in the maritime port organization, by understanding the expected performance and the intention to accept and use big data. In the empirical analysis of factors affecting the intention to use the big data technology for maritime port organizations, the variables employed are based on the Technology Organization Environment(TOE) and Diffusion of Innovations(DOI) theories, which are related to the acceptance of information and communication technologies. To achieve the objective of this study, an empirical analysis was conducted; this analysis targeted the personnel involved in the department of strategic planning and information technology in the related field. We set up eight hypotheses to examine the relevance between variables having three characteristics-technology, organization, and environmental characteristics. The empirical results are summarized as follows. First, it was seen that the technology characteristic, including relative advantage, complexity, and compatibility, has a significant effect on the expected performance. Second, the top management support of the organization characteristic has a significant effect, but the firm size of this characteristic has no significant effect on the expected performance. Third, the competitive pressure of the environment characteristic has a positive effect on the expected performance, while the regulatory support has no significant effect. Finally, the expected performance has a significant effect on the intention to use big data.