• Journal of Korea Trade
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• v.25 no.1
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• pp.18-33
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• 2021

Purpose - This paper investigates the causal relationship between logistics infrastructure development and the economic growth of Korea. Considering the industrial and economic structure of Korea, it is likely that logistics infrastructure is positively associated with the economic growth of the country. Design/methodology - The causal relationship between logistics infrastructure and economic development is estimated using Vector Autoregressive (VAR) and Vector Error Correction Model (VECM) considering long-run equilibrium between the two factors. To this end, a dataset consisting of 7 logistics infrastructure proxies and 5 economic growth indicators covering the period of 1990-2017 is used. Findings - It was found that causality, in general, runs from logistics infrastructure development to economic growth. Specifically, the results indicate that maritime transport is positively associated with the economic growth of Korea in terms of GDP and international trade. In addition, other modes of transport also have a positive impact on either the GDP or international trade of Korea. Originality/value - While existing studies in this area are based on either regional observations or a specific mode of transport, this study presents empirical evidence on causality between logistics infrastructure and the economic growth of Korea using a more comprehensive dataset. In addition, the findings in this paper can provide valuable implications for transport infrastructure development policies.

• Journal of Biosystems Engineering
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• v.12 no.2
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• pp.44-59
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• 1987

The objectives of this study were to analyze and develop the model systems of rice post-harvest systems from drying to processing, and to develop a bulk system among them which requires minimum system cost and less operating time. The significance of this study was the development of a computer program (PPSARR). The PPSARR makes it possible to evaluate quantitatively the performance and economics of the rice post-harvest systems. The results show that the rice post-harvest bulk system requires less time and cost such as 37-60% and 46-59% of those of the sack system, respectively. Also, the former requires less manpower than the latter. For not more than 1,800 ton of rough rice production, the bulk system which is "drying & storage by IBDS-transport-milling" is recommended, and for more than 1,800 ton, the one which is "drying & storage by IBDS - transport - storing at flat storage improved - transport - processing by RPC" is recommended.

• IE interfaces
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• v.16 no.1
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• pp.34-43
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• 2003

The Korean government has been working to reduce national logistics costs since the early 1990s. One of the major plans instituted by the government was to build five complex freight terminals using ICDs(inland container depots) as hub inland terminals. This paper explains the process and the methods adopted for site selection, with special focus on the Youngnam Freight Terminal. Among nineteen developable sites in Youngnam region, four candidates were selected based on the Map Overlay Approach under several criteria, including land acquisition costs, proximity to major highways and railroads, suitability of the terrain, etc. In this study, we used the AHP to select the best site among the four sites.

• The Journal of Economics, Marketing and Management
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• v.3 no.1
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• pp.1-22
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• 2015

High growth and increasing traffic and transport finished vehicles, a significant impact on how organize the flow of parts to auto makers an dagencies have As a result, the automakers to improve its position as a highly responsive, with minimal costs, the out sourcing of their logistics processes. This paperis the result of field research to determine the effectiveness of the logistics industry in Iran and focuses on information technology deals the transport vehicle and parts sales deals, indicators used in the model include: IT focuses, IT Valence, IT Competency, IT Managerial Commitment, IT Resource Commitment and competitive advantage identified. Data collected by questionnaires from managers and experts have been towing companies ISACO and SAIPA trailer hypotheses using structural equation methods and software has been analyzed Amos, Results show, focusing on information technology now has significant impacts on logistics and transport. As a result the impact of, IT valence, IT competency and IT Managerial Commitment analytics to gain competitive advantage was not approved, but the rest of the factors were confirmed.

• The Korean Journal of Air & Space Law and Policy
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• v.19 no.1
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• pp.213-233
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• 2004

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.67-73
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• 2020

The paper examines the influence of internal factors and external factors on liquidity of Vietnamese listed enterprises. The study uses robust regression techniques in the fixed effects linear panel data using data collected from companies listing on the stock market in Vietnam during 2008-2019, with a total of 6,700 observations. Liquidity of Vietnamese listed enterprises is measured by current assets to current liabilities, whereas firm size, capital adequacy, profitability, leverage are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors which are considered. The research results indicate that capital adequacy, return on equity, leverage, economic activity have a positive effect on firm's liquidity, whereas return on assets and exchange rate have a negative effect on firm's liquidity and firm size, inflation rate and lending rate have no correlation with firm's liquidity. Based on the research results, the author suggests that the firms should have optimum current ratio by balancing the current assets and current liabilities in order to avoid a situation of high liquidity or low liquidity. This research seeks to bridge a gap which is present in the body of literature on listed enterprise's liquidity in Vietnam. The findings may be useful for financial managers, investors, and financial management consultants.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.177-184
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• 2020

This paper analyzes factors affecting corporate investment decisions in economic groups listed on the Vietnam stock market. The panel data of the research sample includes 39 economic groups listed on the Vietnam stock market from 2009 to 2019. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, the investment rate is a dependent variable. Cash-flow (CF), Investment opportunities (ROA), Fixed capital intensity (FCI), Leverage (LEV), Sales growth (GR), Size (SZ), Business risk (RISK) are independent variables in the study. The model results show that cash flow and sales growth have the same impact on investment decisions of economic groups in Vietnam. In addition, investment opportunities have a negative impact on the capital investment decisions of economic groups. The remaining factors include fixed capital intensity, leverage, firm size, and business risks that have a weak and insignificant impact on capital investment decisions of economic groups in Vietnam. The findings of this article are useful for business administrators, and helping business managers make the right financial decisions. Besides, the research results are also meaningful to money management agencies. The authors recommend that the State Bank of Vietnam should maintain a sustainable monetary policy.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.141-148
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• 2020

This paper analyzes factors affecting the debt maturity structure of enterprises listed on the Vietnam stock market. The panel data of research sample includes 549 non-financial listed enterprises on the Vietnam stock market from 2009 to 2019. The Generalized Least Square (GLS) tool is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, debt maturity structure is the dependent variable. Capital structures, fixed assets, liquidity, firm size, asset maturity, profitability, corporate income tax, gross domestic product, inflation rate, credit growth scale are independent variables in the study. The model results show, that among the factors affecting the structure of debt maturity, the capital structure, asset structure, and firm size have the highest estimation coefficients, which shows that capital structure, asset structure, and firm size plays an important role in the decision-making process of debt maturity structure. The empirical results show that there are differences in the impact of these factors on the debt maturity structures in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to determine the target debt maturity structure in enterprises.

• Environmental and Resource Economics Review
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• v.23 no.1
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• pp.1-19
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• 2014

Weather seems to influence industries in a variety of ways. On a day-to-day basis, it is the most volatile external factor influencing consumer and market behavior. And, because weather is constantly changing, industries must deal with a continuously shifting array of opportunities and risks. This study aims to examine how climate and weather changes and information, as external environmental factors, have affected the Korean industries, particularly marine shipping and logistics. To find out the economic value of marine weather information, we use measurable results of VVOS(Vessel and Voyage Optimization Services) in the ocean shipping, which the marine weather software tool can save fuel costs up to 4%. When the fuel saving is same as VVOS's performance, the saving of Korean flag ship is estimated about 62 billion won and the saving of total flag ship is estimated about 519 billion won. However, coastal shipping companies have been struggling with the heavy weather factors, such as wave height, wave period and wind. Major findings are that wind and wave height have a significant negative effect on cargo transport, while wave period has a significant positive effect on cargo transport. And to conclude, when we use efficiently the marine weather information, we can increase cargo transport and save fuel costs etc.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.5
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• pp.85-97
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• 2009

Continuous increase of traffic demand has caused confirmed congestion, fuel consumption, emission, safety, etc. as serious social problems at the present time. The Smart Highway Project has been conducted by the supervision of Ministry of Land, Transport and Maritime Affaire to solve such problems since 2007. The Smart Highway Project includes LDWS (Lane Departure Warning System), a system to prevent broadside collisions and accidents, as a sub-technology of road-vehicle associating technologies. This system warns drivers when their vehicle deviates from the lane where they are traveling at high-speed on the highway. In this paper, the LDWS was evaluated using CBA to analyze the socio-economic consequences. Estimated benefits include reduction of accidents and convenience of drivers. In addition, the economics according to the distribution rate is various when it comes to Lane Departure Warning Technology, the economics of both cases - positive scenario and negative scenario, which was analyzed. As a result, the Benefit-Cost ratio(B/C) of negative scenario showed 0.97 in 2020 and 1.36 in 2030 while B/C ratio of the positive scenario showed 1.04 in 2020 and 1.59 in 2030, which indicated that the higher distribution rate is, the higher the economics generates. Therefore, it is judged that the introduction of Lane Departure Warning Technology will result in high economics.