한국항해항만학회지 (Journal of Navigation and Port Research)

  • 제43권2호
  • /
  • Pages.134-141
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  • 2019
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  • 1598-5725(pISSN)
  • /
  • 2093-8470(eISSN)
한국항해항만학회 (Korean Institute of Navigation and Port Research)
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The Impact of Macroeconomic Variables on the Profitability of Korean Ocean-Going Shipping Companies

  • Kim, Myoung-Hee (Division of Shipping Management, Korea Maritime and Ocean University) ;
  • Lee, Ki-Hwan (Division of Shipping Management, Korea Maritime and Ocean University)
  • 투고 : 2019.04.01
  • 심사 : 2019.04.25
  • 발행 : 2019.04.30
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초록

The objective of this study was to establish whether global macroeconomic indicators affect the profitability of Korean shipping companies by using panel regression analysis. OROA (operating return on assets) and ROA (ratio of net profit to assets) were selected as proxy variables for profitability. OROA and ROA were used as dependent variables. The world GDP growth rate, interest rate, exchange rate, stock index, bunker price, freight, demand and supply of the world shipping market were set as independent variables. The size of the firm was added to the control variable. For small-sized firms, OROA was not affect by macroeconomic indicators. However, ROA was affected by variables such as interest rates, bunker prices, and size of firms. For medium-sized firms, OROA was affected by demand, supply, GDP, freight, and asset variables. However, macroeconomic indicators did not affect ROA. For large-sized firms, freight, GDP, and stock index (SCI; Shanghai Composite Index) have an effect on OROA. ROA was analyzed to be influenced by bunker price and SCI.

키워드

Table 2 Summary of variables

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Table 3 Summary of quantile variables for grouping

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Table 4 Regression result for quantile 1 of asset (less than 35.15 billion won)

GHMHD9_2019_v43n2_134_t0004.png 이미지

Table 5 Regression result for quantile 2 of asset (68.07-440.3 billion won)

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Table 1 Macroeconomic variables of the literature review

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Table 6 Regression result for quantile 3 of asset (68.07-440.3 billion won)

GHMHD9_2019_v43n2_134_t0013.png 이미지

Table 7 Regression result for quantile 4 of asset (over 440.3 billion won)

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Table 8 Regression result for quantile 1 of sales (less than 26.8 billion won)

GHMHD9_2019_v43n2_134_t0015.png 이미지

Table 9 Regression result for quantile 2 of sales (26.8-86.2 billion won)

GHMHD9_2019_v43n2_134_t0016.png 이미지

Table 10 Regression result for quantile 3 of sales (86.2-234.7 billion won)

GHMHD9_2019_v43n2_134_t0017.png 이미지

Table 11 Regression result for quantile 4 of sales (over 234.7 billion won)

GHMHD9_2019_v43n2_134_t0018.png 이미지

참고문헌

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