• Title/Summary/Keyword: Seaborne trade

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A Study on the Prediction of the World Seaborne Trade Volume through the Exponential Smoothing Method and Seemingly Unrelated Regression Model (지수평활법과 SUR 모형을 통한 세계 해상물동량 예측 연구)

  • Ahn, Young-Gyun
    • Korea Trade Review
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    • v.44 no.2
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    • pp.51-62
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    • 2019
  • This study predicts the future world seaborne trade volume with econometrics methods using 23-year time series data provided by Clarksons. For this purpose, this study uses simple regression analysis, exponential smoothing method and seemingly unrelated regression model (SUR Model). This study is meaningful in that it predicts worldwide total seaborne trade volume and seaborne traffic in four major items (container, bulk, crude oil, and LNG) from 2019 to 2023 as there are few prior studies that predict future seaborne traffic using recent data. It is expected that more useful references can be provided to trade related workers if the analysis period was increased and additional variables could be included in future studies.

Factor Analysis of Seaborne Trade Volume Affecting on The World Economy (품목별 해상 물동량이 세계 경제에 미치는 영향 요인분석)

  • Ahn, Young-Gyun;Lee, Min-Kyu;Park, Ju-Dong
    • Korea Trade Review
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    • v.42 no.2
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    • pp.277-296
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    • 2017
  • More than 95% of imports and exports in the World are being transported by vessels. In other words, marine transportation accounts for a large portion of share in the world trade. The purpose of this study is to analyze factors of seaborne trade volume according to items affecting on the world economy. This study conducted a linear regression analysis between seaborne trade volume and the world economy (world GDP) to estimate the correlation between them. Panel data analysis and random effects model analysis have been applied to examine the effect of seaborne trade volume. For this study, the seaborne trade volume is categorized into 10 items, and estimated how much global GDP will be affected when the trade volume changes. In addition, the granger causality test was conducted to verify the relationship between seaborne trade volume and the world GDP. As a result, seaborne trade volume and the world GDP were mutually influenced each other. However, seaborne trade volume affects the world economy more significantly. The items affecting world economic growth include petroleum products, crude oil, chemical products, and so on. The estimated value of the coefficients of petroleum products, crude oil and chemical products were 1.014, 1.013 and 1.010, respectively. The estimated value 1.014 of petroleum products means that the growth rate is 1.014 times higher than the current world GDP growth rate when the seaborne trade volume of petroleum products increased by one unit Lastly, this study examines the seaborne trade volume of 10 categories and then verifies whether the growth rate of world GDP will increase when the volume of seaborne trade increased. This study is expected to provide policy-makers with useful information about formulating policies related to international trade.

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A Study on the Forecasting of Seaborne Trade of Mineral Resources : Cases of Iron Ore and Coal (광물자원의 해상물동량 전망에 관한 연구 : 철광석 및 석탄을 중심으로)

  • Jang, Won-Ik
    • Environmental and Resource Economics Review
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    • v.19 no.2
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    • pp.341-360
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    • 2010
  • The goal of this study is to forecast the scales of seaborne trade of iron ore and coal. It is assumed that the seaborne trade of iron ore is the function of two independent variables(crude steel production, world GDP) and the seaborne trade of coal is the function of two independent variables(crude steel production, world electricity generation). The result shows that the regressions of two functions are statistically significant respectively. As the results of forecasting, the seaborne trade of iron ore in 2010 may be 892 million tons which is increased 5.1% compare to the level of 2009. Also the seaborne trade of coal in 2010 may be 827 million tons which is increased 6.1% compare to the level of 2009. In terms of the compound annual growth rate, it is forecasted that the iron ore may show 4.7% of increasing rate from 2009 to 2015 and the seaborne trade of coal may be increased 6.1% annually for the same period.

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Analysis of the Factors Influencing the Ocean Freight Rate (해상운임에 영향을 미치는 주요 요인에 관한 연구)

  • Kim, Myoung-Hee
    • Journal of Navigation and Port Research
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    • v.46 no.4
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    • pp.385-391
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    • 2022
  • In this study, a multivariate time series analysis was conducted to identify various variables that impact ocean freight rates in addition to supply and demand factors. First, we used the ClarkSea Index, Clarksons Average Bulker Earnings, and Clarksons Average Tanker Earnings provided by the Shipping Intelligence as substitute variables for the dependent variable, ocean freight. The following ndependent variables were selected: World Seaborne Trade, World Fleet, Brent Crude Oil Price, World GDP Growth Rate, Industrial Production (IP OECD) Growth Rate, Interest Rate (US$ LIBOR 6 Months), and Inflation (CP I OECD) through previous studies. The time series data comprise annual data (1992-2020), and a regression analysis was conducted. Results of the regression analysis show that the World Seaborne Trade and Brent Crude Oil P rice impacted the ClarkSea Index. Only the World Seaborne Dry Bulk Trade impacted the Clarksons Average Bulker Earnings, World Seaborne Oil Trade, Brent Crude Oil Price, IP, and CP I on the Clarksons Average Tanker Earnings.

CURRENT SITUATION AND PROSPECT OF SHIPPING INDUSTRY IN VIETNAM

  • Le, Thanh Van;Kim, Sung-June
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2014.06a
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    • pp.215-220
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    • 2014
  • The report analyze the current situation of shipping industry in Viet Nam, including information about Viet Nam seaborne trade, shipping companies, sea-going fleets, seafarers, major seaports. Afterward it will be disclosed the policy of sea transport in Viet Nam. And finally, the author will give summary and conclusion about shipping industry in Viet Nam.

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Forecasting the Seaborne Trade Volume using Intervention Multiplicative Seasonal ARIMA and Artificial Neural Network Model (개입 승법계절 ARIMA와 인공신경망모형을 이용한 해상운송 물동량의 예측)

  • Kim, Chang-Beom
    • Journal of Korea Port Economic Association
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    • v.31 no.1
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    • pp.69-84
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    • 2015
  • The purpose of this study is to forecast the seaborne trade volume during January 1994 to December 2014 using the multiplicative seasonal autoregressive integrated moving average (ARIMA) along with intervention factors and an artificial neural network (ANN) model. Diagnostic checks of the ARIMA model were conducted using the Ljung-Box Q and Jarque-Bera statistics. All types of ARIMA process satisfied the basic assumption of residuals. The ARIMA(2,1,0) $(1,0,1)_{12}$ model showed the lowest forecast error. In addition, the prediction error of the artificial neural network indicated a level of 5.9% on hidden layer 5, which suggests a relatively accurate forecasts. Furthermore, the ex-ante predicted values based on the ARIMA model and ANN model are presented. The result shows that the seaborne trade volume increases very slowly.

A Study on the Estimation of Required Seaborne Trade Volume and Carrier Volume of Each Vessel Type in Case of Emergency (우리나라 비상사태시 소요물동량 및 선종별 소요선대 추정 연구)

  • Young-Gyun Ahn
    • Korea Trade Review
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    • v.45 no.1
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    • pp.1-11
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    • 2020
  • The maritime industry is important for Korean international trade, as more than 99 percent of its imports and exports are moved by maritime transportation. However, if maritime transportation is stopped in the event of an emergency, such as war or natural disaster, there is a danger that imports and exports may cease abruptly. Coping with this risk is why the Ministry of Oceans and Fisheries, manages the 'National Necessary Shipping System.' This system requires that the government estimates the size of ships necessary in the case of an emergency, and the ships designated as National Necessary Vessels should transport goods in the case of actual emergencies. This study seeks to estimate the appropriate size of ships required in an emergency using the latest data and applying a quantitative methodology. This study provides useful reference materials for policy authorities. In particular, it is meaningful that this study estimates the required number of ships of each vessel type, reflecting the recent trend of large-scale ships and expanding global trade.

On the Situation Analysis and Developing Plan for International Seaborne Trade among South Korea, North Korea and China

  • Lu, Dongqin;Park, Gyei-Kark
    • Journal of Korea Port Economic Association
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    • v.29 no.1
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    • pp.195-213
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    • 2013
  • Since 1990, North Korea's economic situation has drawn the international community's attention and became an important factor to analyze and judge the situation in North Korea, in the Korean Peninsula and even in the whole Northeast Asia. As North Korea's neighbors, Sino-Korean trade and Inter-Korean trade play an important role in North Korea's foreign trade. Based on situation analysis, the great connection and difference between Sino-Korean trade and Inter-Korean trade are given an introduction. Also by exploring reasons for Sino-Korean trade development, we can gather some insights for Inter-Korean trade development.

The Impacts of Chinese Seaborne Trade Volume on The World Economy (중국 품목별 수출입이 세계 경제에 미치는 영향 실증분석)

  • Ahn, Young-Gyun;Lee, Min-Kyu
    • Korea Trade Review
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    • v.42 no.6
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    • pp.111-129
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    • 2017
  • According to the World Bank statistics, China's contribution to global economic growth during the year of 2013-2016 was estimated at 31.6 percent. This figure is even larger than 29.0 percent, the contribution by summing each contribution of the United States, EU and Japan. The Chinese commodity trade accounts for up to 11.5 percent of world trade volume. Thus, we can consider that the Chinese economy has a strong influence on the global economy. The primary purpose of this study is to analyze the contribution level of Chinese seaborne trade volume on world economy. First, this study conducted a time-lag analysis using Moran test, so we can find that China's level of contribution to global economic growth varies from time to time. The contribution of the first phase (1999-2007) was nearly three times higher than the contributions from the second phase (2008-2016), suggesting that the overall contraction of the global trade volume starting from the subprime mortgage crisis in 2008 has continued until recently and recovery has not even occurred. Second, using the econometrics model, this study conducted an regression analysis of the impact of Chinese imports and exports in chemicals, grain, steel, crude oil, and container on global economic growth. Fixed effects model with time series data has been applied to examine the effect of Chinese seaborne trade volume on global economic growth. According to the empirical analysis of this study, China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain have significant contributions to global economic growth. Estimates of China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain are 1.023, 1.020, 1.019, 1.007 and 1.006, respectively. For example, the estimated value 1.023 of China's exports of steel products means that the growth rate can be 1.023 times higher than the current world GDP growth rate if Chinese seaborne trade volume of exports of steel products increased by one unit (one million tons). This study concludes that the expansion of China's imports and exports should be realized first to increase the global GDP growth rate. The expansion of Chinese trade can lead to a simultaneous stimulus of production and consumption in China, which can even lead to global economic growth ultimately. Thus, depending on how much China's trade will be broaden in the future, the width of global economic growth can be determined.

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Impact of International Shipping's Environmental Regulations on the Evaluation of Ports (국제해운의 환경규제가 항만 평가에 미치는 영향)

  • Sung-Kuk Kim;Jin-Uk Lee
    • Korea Trade Review
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    • v.45 no.6
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    • pp.99-112
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    • 2020
  • It is no exaggeration to say that today's world economy is dependent on international trade, which is the result of inter-state transactions. As the vast majority of international goods transport is transported by international shipping, interest in the seaborne transport field is natural in international and trade studies. In particular, in the case of international shipping, as it is the basis of typical international transportation, changes in international shipping due to the innovation of technology may have an effect on international trade norms. In this study, as a result of evaluating port preference in a hypothetical scenario by using the Design of Experiments method, bunkering as well as port service, which is traditionally important, was identified as a major competitive factor of future ports. It has been revealed that, above all, the port to respond to the future is the continued importance of port services and the supply of ship fuel. Therefore, port authorities are providing implications that LNG bunkering infrastructure suitable for international environmental regulations is important.