• Title/Summary/Keyword: 수상운송업

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A Study on the Analysis of the Interconnection structure between Major countries and Korean Water transport industry (주요 국가 및 우리나라 수상운송업 간의 상호 연관구조 분석 연구)

  • Seon-youl Park;Ho Park
    • Korea Trade Review
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    • v.48 no.2
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    • pp.175-195
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    • 2023
  • This study is for analyzing the relation between Korean Water transport and the other main countries Water transport. In the Free trade system, Maritime transport has a high impact on the global economy as well as the each countries. The division of labor through the global value chain(GVCs) has became the ordinary activity in business, and in Maritime shipping,, there are the International trade among countries. Therefore, This study analyze relation of Korean water transport and other 13 regions using World Input-Output Table(WIOT) by Asia Development Bank(ADB). The result of analysis, the proportion of intermediate goods in the input structure of Korean water transport is about 70%, and the ratio of using domestic products is higher than the major European countries. However, since 2000, intermediate inputs from foreign countries have steadily increased, and added value has decreased. Countries with a high relation with Korean Water transport industry are United States(USA) on the input structure, Singapore(SIN) and Japan(JPN) on the distribution structure. Analyzing the relation through the production inducement coefficient, Singapore(SIN) has the high relationship with Korean Water transport industry.

Industry Linkage Analysis and Link Structure Network Analysis of Water Transportation Industry (수상 운송업의 산업연관분석 및 연계구조 네트워크 분석)

  • Park, Sung-Min;Park, Chan-Kwon
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.85-107
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    • 2022
  • This study is to analyze the induced effect, network connectivity, and network visualization of the water transportation industry on the overall economy in relation to all industries. For this, various inducement coefficients of the water transportation industry are analyzed using industry linkage analysis and unit structure matrix, and network visualization analysis is performed using network connectivity and NetDraw using Ucinet 6 that utilizes unit structure matrix and inverse matrix function. As a result of the study, analysis results of input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were presented as various inducement coefficients in the water transportation industry. content was presented. Through this study, the current position and status of the water transportation industry and its relationship with all industries were confirmed, and the strategic relationship with which industries it should be presented was presented. In the future, it is necessary to further analyze the current status and trends of various induced effects, connectivity (centrality), and network visualization analysis using industry-related analysis published since the 2000s.

Development of smart port work distribution system (스마트 항만 작업 분배 시스템 개발)

  • An, Hyeon-Seo;Hong, So-Yeon;Jeon, Ji-Woo;Lee, Seon-Young;Kim, In-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1338-1341
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    • 2021
  • 현재 대한민국 운송업에서 두 번째로 큰 비율(19.2%)을 차지하고 있는 수상 운송업에서는 연간 많은 재해가 발생하고 있으며 그 손해는 4백억 원에 달한다. 본 연구는 수상 운송업에서의 재해율과 경제적 손실을 최소화하기 위해 신체 측정기기 및 항만 작업 분배시스템을 설계하였다. 신체 측정기기는 심박, 알코올, 적외선 온도 센서 등을 활용하여 작업자의 신체 정보를 측정한다. 이 결과를 아두이노로 전송한 뒤 사용자의 집중도와 피로도를 분석하여 적절한 작업 분배 서비스를 제공한다.

An Empirical Study on the Estimation of Adequate Debt ration in Korean Shipping Industry: Focused on Water Transport (한국 해운산업의 적정부채비율 추정을 위한 실증연구: 수상운송업을 중심으로)

  • Pai, Hoo-Seok
    • Journal of Navigation and Port Research
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    • v.39 no.1
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    • pp.69-75
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    • 2015
  • The concrete purpose of this study is to suggest actually a debt ratio to optimize the capital structure providing a kind of approach to estimate the proper debt ratio with an analytical model and empirical data in Korean shipping industry. The mathematical and analytical model is started from the first equation about ROE, return of net operating income on equity, with an independent variable, debt ratio. It is constructed with several parameters, ROS(return of operating income on sales), TAT(total assets turnover), and NFCL(net finance cost to liabilities). There could not be a certain relationship between debt ratio and ROS or TAT, while some correlation or causality between debt ratio and NFCL. In other words, most of firms with high debt ratio is likely to burden higher finance cost than others with low one. In this case, there is a linearity relationship between debt ratio and NFCL, so then the second equation considering this relation could be included within the analytical approach of this paper. To be short, if the criteria of adequate debt ratio has to be defined as some level of debt ratio to optimize ROE, the ROE could be illustrated as a quadratic equation to debt ratio from two equations. Next, this research estimated those parameters' numbers through the single regression method with data over 12 years of Korean shipping industry, and identified empirically the fact that optimal debt ratio would be approximately 400%. To conclude, if that industry's sales and operating incomes are stable, the debt ratio could be accepted until twice of 200% had forced in order to guarantee its financial safety in past time.

An Analysis of Factors on Wage Gap of Workers in Logistics Industry -Focusing on Factors that don't directly affect Productivity- (물류산업 종사자의 임금격차에 관한 요인분석 -생산성에 직접적 영향을 주지 않는 요인을 대상으로-)

  • Koo, Kyoung-mo
    • Journal of Korea Port Economic Association
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    • v.37 no.2
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    • pp.133-152
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    • 2021
  • The purpose of this study is to investigate the factors affecting the wages of workers in the logistics industry and to identify the current status of employment and wages in the logistics industry. Based on this, it sought to find analytical factors on the wages of workers in the logistics industry and explain their impact on the wage gap. The analysis data were interpreted as cross-sectional data from the National Statistical Office over the past decade and the analysis data were set to three types. The results of the analysis could be explained that three factors understood as wage discrimination factors that do not directly affect productivity generally have a significant impact on wage gap among workers in the logistics industry. Air and water transport industries received high salaries due to factors in the industry. The very low-paid sector for that was the land transport industry, and the courier industry as a detailed sector. Due to the nature of job factors, technicians and assistants received lower wages than other jobs. Due to the nature of the company's size factors, companies with 51 or more employees received higher wages than companies with 50 or less employees. In testing the effectiveness of multiple sources of ANOVA, the common 'industry × enterprise size' variable was explained to have a significant effect on gaps in wages for workers in the logistics industry. In addition, the comparison of the influence of the main effects of the three factors put into the analysis model shows that the industry has the most influence.

A Study on the Determinants of "Decent Work" in the Logistics Industry : Focusing on the comparison with whole industries (물류산업의 "괜찮은 일자리(Decent Work)" 결정요인에 관한 연구 : 전체산업 모형과의 비교를 중심으로)

  • So, Ae-Rim;Shin, Seung-Sik
    • Journal of Korea Port Economic Association
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    • v.38 no.4
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    • pp.139-169
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    • 2022
  • This study derived determinants of 'Decent Work' in the logistics industry and aims to use the analysis results as basic data for policymaking related to labor in the logistics industry and to prepare policies suitable for the characteristics of the logistics industry. As the dependent variable of the model, the Decent Job derived from the first study was used, and the target model was derived from panel data of whole industries to understand the unique characteristics of logistics industry jobs and applied to the logistics industry model. This study found that in the logistics industry, developing the expertise of the logistics industry through "vocational training" compared to whole industries is an important factor rather than raising the "academic level" through the regular curriculum. This seems to reflect the characteristics of the logistics industry as specialized vocational training is required in the case of "railway transportation", "inland water and port transportation", and "air cargo transportation", which have a high proportion of decent job workers among the detailed logistics industries analyzed in this study. Therefore, developing job expertise through additional manpower training programs such as vocational training as well as academic fields learned through regular curriculum is a very important factor in engaging in "Decent Work" not only in the logistics industry but also in other industries.