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http://dx.doi.org/10.5394/KINPR.2020.44.2.119

A Study on the Management Efficiency Effect Factor of Korean Ocean Carriers  

Hong, Sog-Min (E Marine Co. Ltd.)
Ahn, Ki-Myung (Division of Shipping Management, Korea Maritime and Ocean University)
Abstract
In this study, the current state of management efficiency of ocean carriers in Korea and the factors affecting them were analyzed. The purpose of this research is to enhance global competitiveness of ocean carriers by presenting suggestions that can improve management efficiency based on the analysis results. The measurement of management efficiency was made using the DEA model. The results of testing the adequacy of the input and output variables used are as follows. Appropriate inputs are total assets, cost of goods sold, charter expenses, sales and general management expenses, and interest expenses. Appropriate variables are sales, operating income, and operating cash flow. According to the analysis results of the DEA model by these variables, inefficient carriers (78%) are nearly four times more than efficient carriers(22%). However, container carriers have the most improved management efficiency compared to 2016 and 2017. According to the panel regression analysis, the charter rate has the greatest negative impact on efficiency (CRS), and the debt rate has a significant negative impact. Thus, it appears that reducing the charter size and the debt-to-sale rate facilitate improvement of the management efficiency of ocean carriers. Additionally, the pre-sales tax return rate, value added rate, total asset turnover rate, and the scale variable and interest coverage rate have a positive (+) effect. Thus ocean carriers should restore their global competitiveness by improving management efficiency by securing stable cargoes increasing sales profitability from the cost management perspective, increasing productivity, and enhancing the efficiency of their total assets through efficient fleet management.
Keywords
Korean Ocean Carriers; Managerial Analysis; Management Efficiency; Financial Rate; Data Envelopment Analysis; Panel Multiple Regression Method; Ship Type;
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Times Cited By KSCI : 2  (Citation Analysis)
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