• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.53-61
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• 2021

Purpose - The purpose of this paper is to assess the empirical evidence that shows blockchain technology has been a significant contributor to the growth of maritime transport in the shipping industry. Design/methodology/approach - Employing a generalized linear model using data from 2010 to 2019, this paper presents empirical evidence to demonstrate the positive impact of the adoption of blockchain technology on the maritime transport industry. Findings - Results from Granger causality tests confirm that there is a positive unidirectional causality from blockchain technology to maritime transport. This paper also demonstrates the positive effects of information technology (IT) and GDP growth on maritime transport. On the other hand, maritime transport is negatively influenced by the tax burden. Research implications or Originality - The results of this paper suggest a potential sustainable development strategy for the maritime transport industry involving the redirection of economic resources toward blockchain technology. Adopting other forms of IT and reducing the tax burden are also useful strategies for the development of the industry.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.306-309
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• 2009

일반적으로 이벤트는 발생 시점이라는 시간 속성을 갖는다. 그리고 고객 단위로 이벤트를 축적한 데이터베이스가 있다면 데이터 마이닝을 통하여 유용한 정보를 탐사할 수 있다. 특히 이벤트 발생의 원인과 결과에 대한 관계 규칙을 찾아낼 수 있다면 과거의 정보를 바탕으로 미래를 예측할 수 있는 예측 판단 정보로 사용할 수 있다. 본 연구에서는 데이터 스트림 시스템에서 시간 관계 규칙을 탐사하고 시간 관계 규칙을 구성하는 이벤트 간의 영향력을 측정하기 위한 SM-EC(data Stream Mining for Exploration of Causality)기법을 제안한다. 실험을 통하여 SM-EC가 제공하는 영향력 정보는 다양한 비상 상황에 대처하는 중요한 척도가 될 수 있음을 확인하였다.

• Korea Trade Review
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• v.46 no.5
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• pp.115-130
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• 2021

The main purpose of this study is to analyze the causal relationship between import-export goods and transportation modes. To this end, five major commodity groups were selected from 2010 to 2018 such as Machinery and transport equipment (SITC 7), manufactured goods classified chiefly by material (SITC 6), chemicals and related products, n.e.s. (SITC 5), mineral, fuels, lubricants, and related materials (SITC 3), and miscellaneous manufactured articles (SITC 8). And using the panel VECM, the difference between transportation modes such as ports and airports was compared and analyzed through panel granger causality, Impulse response function, Forecasting error variance decomposition. As a result, it is confirmed that the causal relationship between major product groups and transportation modes showed different causal relationships depending on the characteristics of port and air transportation.

• The Journal of Korean Medicine
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• v.41 no.1
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• pp.21-44
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• 2020

Objectives: This study was aimed to develop a pharmacovigilance practice training course for future doctors of Korean medicine, the graduate students of a college of Korean medicine, and to verify the educational effect of the curriculum. Methods: Fifty-six students were given a training course designed as follows: 1) pre-class homework (basic theory self-study, online course, causality assessment, and adverse event reporting simulation); 2) in-class: homework submission and case discussion; 3) after-class: homework revision and resubmission. An online survey to assess the change of the level of basic knowledge and attitudes toward pharmacovigilance, the willingness to report adverse events, and self-efficacy for the causality assessment and adverse event reporting was conducted before and after education. Results: The survey participation rate was 96.5% in pre-education and 64.3% in the post-education survey. After education, knowledge level was improved (mean score from 4.3±2.11 to 6.7±1.96 points, modal value from 3 to 8 points) and positive changes were observed in almost all questions on attitudes. In the post-education survey, more students felt that they could do causality assessment (from 13% to 80.5%), could report adverse events to the agency in charge (from 7.4% to 96.2%), and expressed their strong willingness to report adverse events in the future (from 77.8% to 88.9%) than in the pre-education survey. Conclusions: More schools of Korean medicine need to adopt pharmacovigilance training courses in their curriculum to foster future doctors of Korean medicine with pharmacovigilance capabilities. Such efforts will be the basis for achieving an evidence-based, safe use of herbal medicine.

• Environmental and Resource Economics Review
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• v.21 no.3
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• pp.573-593
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• 2012

The paper examined the relationship between total and sector level electricity consumptions and economic growth in Korea for the period of 1980-2009. The results of unit-roots and cointegration tests show that all variables-real GDP, total, primary, manufacture, and service sector electricity consumptions-were not stationary and there were no linear combinations in the long run between electricity consumptions and economic growth. Thus, by using standard Granger-causality test we found that total, primary, and manufacture sector electricity consumptions were Granger-caused by economic growth, not vice versa. This means that causality runs from economic growth to each electricity consumption. However, there is no causal relationship between service sector electricity consumption and economic growth. These results imply that the government policies aimed at reducing electricity consumptions and increasing energy efficiency etc. can be feasible without deterring economic growth in Korea.

• Journal of Navigation and Port Research
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• v.43 no.6
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• pp.469-474
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• 2019

One of the world's major resources is crude oil, the most fundamental part of the industry. There is no place that does not use crude oil. Petroleum refining products and chemical production industrial products are produced through nearby petrochemical complexes and ports after importing crude oil. There would be a possible relationship among the petrochemical complexes and nearby regional ports working with liquid cargoes. To confirm these relations, Ulsan Port, Daesan Port, and Yeosu Gwangyang Port were selected for this study. A Vector Auto Regressive model using time series data was applied. A Unit Root Test was performed. The relationship was confirmed through the Granger and Toda Yamamoto Causality Test.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.50-59
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• 2001

Since 1998, government-led Korean venture business boom now proceeds into the stage of market-oriented venture business growth. At such a moment, this research is to clarify the relations between the Critical Success Factors of Korean venture businesses, based on domestic and foreign literature surveys and inquiry surveys over domestic venture capitalists. This research starts from the necessity to overcome the limits of the existing researches by uni-dimensional Korean venture businesses and to manifest the multi-dimensional relations between the success factors from the various viewpoints. And this research adopts System-Dynamics methodology to manifest and utilize relations among those factors, avoiding the existing metrical approaches. This research can be called a new approach to the current ecosystems of Korean venture in which whether venture businesses in Korea succeed is considered to depend on the list on the stock market. For this, this research implemented verification analysis through the simulations of each factor at various levels to build causality map which clarifies the causality of success factors of venture businesses through the System-Dynamics methodology and to utilize it as a way of support to decision-making of venture businesses. This research will be able to suggest the reactions depending on various internal and external situations. This research tried to manifest the causality map of each factor on the basis of inquiry surveys and literature surveys to clarify Feedback among each factor by the SD methodology and simulate it. This research will be a basis to establish the chance to bolster up the still fragile probing research into success factors of substructure of venture businesses through the suggestion of possibility as an efficient analysis framework via the verification of SD methodology and the utilization of results of this research.

• Journal of the Korean Geographical Society
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• v.48 no.1
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• pp.72-86
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• 2013

Industrial agglomeration is an old theme in economic geography and many studies have been devoted to this topic. But only few have empirically looked at the time trend of industrial agglomeration. This study measured agglomeration of U.S. industries over last 29 years and measurement results indicated that industrial clustering has occurred during the study period in all study industries without a common time trend shared amongst the study industries. The agglomeration levels then were plugged in to investigate causalities, i.e. causal relations, around industrial agglomeration. Three variables were selected to see causal relations with agglomeration levels based on literatures, and our focus was given to the causality between transport network and agglomeration. Causal relation from transport to agglomeration was found in various industries and this supports the argument that the development of transportation influences industrial agglomeration. At the same time inverse and bi-directional causalities were also revealed implying more complex relationship between these two.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.67-74
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• 2017

This paper analyzes the causal relationship from climate to international grain prices. Although climate is an important factor affecting the grain markets, it has been restrictively considered in previous studies analyzing the causal relationship of international grain prices. In this paper, monthly data from May 1987 to 2013 is used for the causal analysis in which the sea surface temperature (SST), a representative global climate variable, and the international prices of wheat, corn, and soybean, the world's three major crops, are considered. The test method is the parametric version of the nonparametric test for causality in high-order moments suggested by Nishiyama et al. (2011). The results show that the climate causes in the first moment the prices of all the three grains and causes in the second moment the prices of corn and soybean, but does not cause in the third moment any of the three grain prices.

• Journal of Environmental Policy
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• v.12 no.3
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• pp.97-122
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• 2013

The ARDL(Autoregressive Distributed Lag) method is employed analyzes the long-run equilibrium relationships among environmental pollution($CO_2$ emissions) per capita, income levels per capita, and energy consumption per capita. The error correction model is employed to analyze the short-term effects of income and energy consumption on $CO_2$ emissions. The Toda-Yammamoto method is employed for causal analysis among the three variables. The results show that income levels, energy consumption, and $CO_2$ emissions are cointegrated. We found the N type relationship between income and $CO_2$ emissions. Long-term elasticities of income and energy consumption with respect to $CO_2$ emission were greater than their short-term elasticities. There were a bilateral causality between energy consumption and $CO_2$ emissions. There was a unilateral causality from $CO_2$ emissions to income and from energy consumption to income not vice versa. Energy consumption can be an important variable to contribute to forecasting $CO_2$ emissions.