• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.69
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• pp.389-406
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• 2016

The Purpose of this study is to analyze the financial statements of ocean-going shipping companies that have experienced financial difficulties since the global financial crisis. Specifically, the study conducts comparing major firm with small and medium-sized firm from fianancial point of view, analyzes the different trends of two groups. As a result, this paper finds the different characteristics between two groups. There were known many financial difficulties in ocean-going shipping companies, but this is not applied to small and medium-sized firm group. Small and medium-sized firm group grew soundly and slowly during research period. But major firm group experienced the deficit and their management condition has deteriorated considerably during that period. To cope with this difficulties, major firm group should take self-effort to improve fianacial structure and establish the risk management system.

• The Journal of shipping and logistics
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• v.34 no.4
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• pp.615-635
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• 2018

Using data from 2008 to 2017, this study analyzed the financial characteristics of offshore freight shipping companies in Korea, categorized by vessel type, and their impact on business performance. The analysis showed an upward trend in the overall debt ratio of offshore freight transport companies and differences in the financial characteristics of each vessel type as well as the major factors affecting business performance. In particular, the significant factors affecting the ROA performance of the business are the size of business and debt ratio in the LPG line; the growth rate in the bulk line; the size of business, debt ratio, and year in the general freight line; and the size of business, growth rate, entertainment expense rate, debt ratio, and year in the full container line. Therefore, each shipping company needs to recognize differences in key financial factors affecting its performance based on vessel type, implement proactive measures, and diversify its vessel portfolio.

• Journal of Korea Port Economic Association
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• v.38 no.2
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• pp.139-152
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• 2022

In this paper, samples are collected for individual companies and the factors affecting worker wages (average annual salary) are analyzed in depth. In addition to the average annual salary of workers in a company, we would like to conduct an in-depth analysis of the average annual salary of first-time employees. Specifically, we tried to explain the size of companies, the production structure of capital and labor, and the impact of business on the average annual salary of first-time, college, and graduate school graduates by educational background of first-time employees. The difference in average annual salary of first-time employees of logistics companies is a decisive factor in the main project on sales, and first-time graduates and college graduates provided high salaries in the overseas passenger cargo transportation, port operation, and unloading management, and low salaries in the land cargo and warehouse industries. n addition, Korean logistics companies had relationships between the location of the headquarters, the number of employees, the proportion of labor costs to sales, and the four characteristic factors of the main business on sales. This fact is that Seoul-based foreign passenger cargo transportation, corporate logistics agency, complex transportation, and international transportation relay are large companies, with a low proportion of labor costs and a higher proportion of capital, technology, and information-intensive investments.

• International Commerce and Information Review
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• v.14 no.3
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• pp.323-350
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• 2012

This study analyzes the efficiency of 25 shipping companies in Korea over the period 2005-2009, using Data Envelopment Analysis (DEA). Among 31 companies that listed in order of decreasing sales volume for the period 2006-2010, the sample companies has been selected on the ground of data availability. This study computes the companies' efficiency, estimates their year-on-year Malmquist productivity index, and analyzes the cause leads to the changes in the productivity, In particular, this study attempts, by dividing the companies into two group, listed or not, to compare the changes in the productivity and analyze the reasons. The results from static analysis based on CCR and BCC model indicate that listed companies are higher efficient than unquoted companies. The results from tests on the productivity changes based on the Malmquist productivity index show that 19 unquoted companies increase their average productivity by 16.2 percent year after year during the period but 6 listed companies increase by 0.5% during the same period.