• Journal of Labour Economics
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• v.40 no.3
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• pp.105-131
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• 2017

This study analyses the effect of a minimum wage on employment by using the government's progressiveness as an instrumental variable. The Ordinary Least Squares regression (OLS) can result in upward biased employment effect due to the endogeneity among variables. Therefore, it is necessary to analyse the casuality that removed endogeneity between variables by using proper instrumental variables. The analysis using instrumental variable shows that the growth of the increasing rate of the minimum wage reduces employment. The negative effect of employment depending on the increase of minimum wage corresponds with the predictions of Neoclassical Economics.

• Smart Media Journal
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• v.12 no.11
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• pp.165-174
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• 2023

This study sought to identify the causal relationship between variables through empirical analysis between Chinese female consumers' beauty SNS marketing, brand image, and brand attitude. Through the results of this study, it was confirmed that a causal relationship exists between each variable. In particular, it was confirmed that interactivity, a sub-factor of beauty SNS marketing, is a key factor influencing the variables of brand image and brand attitude. In addition, accessibility, a sub-factor of beauty SNS marketing, is also an important factor affecting brand image and brand attitude. It was confirmed that vitality and informativeness are important factors influencing brand image and brand attitude in that order.

• Journal of Preventive Medicine and Public Health
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• v.34 no.2
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• pp.109-118
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• 2001

The purpose of this review is to discuss the debate concerning the interpretation of epidemiologic studies on particles and health effects. Study of the 1952 air pollution disaster in London established that very high levels of particulate-based smog can cause dramatic increases in daily mortality. However, recent epidemiologic studies have reported statistically significant health effects and mortality due to low levels of air pollution. The statistical significance does not prove causation in observational studies; therefore it is necessary to evaluate these associations. There are arguments for and against each of the numerous studies using Hill's criteria, however the body of accepted evidence supports the causal association. In particular, a high level of consistency in the estimated effect of PM10 has been observed across studies worldwide. The mechanism of the relationship between air pollution and health effects is not obvious. The mechanism of particle-induced injury may involve the production of an inflammatory response by the particulate. The harvesting and the threshold effect are also major concerns regarding the health effects of air pollution. However, current epidemiologic findings indicate that linear models lacking a threshold are appropriate for assessing the effect of particulate air pollution on daily mortality even at current levels.

• The Journal of Bigdata
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• v.2 no.1
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• pp.17-26
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• 2017

The gradual desertification in Northeastern China brought about by the industrial development and global warming, has affected the Korean peninsula as evident by the ultrafine dust geographically and seasonally. People with severe respiratory problems, senior citizens and the infants are susceptible to the ill effects of fine dust which could prove fatal to them. Hence, we need to study the root cause of fine dust emergence and the correlation verification between fine dust and its side effects. This study firstly analyzed clean and contaminated areas classified by industrial elements. We utilized air, weather and industrial data in the area. Next, we detected a change of fine dust in terms of weather and climate. We analyzed correlation of air and weather by influence from domestic and neighboring country. The result indicated that China is the culprit of the emergence of fine dust predicament. Consequently, we can prove that fine dust ($PM_{10}$) and ultrafine dust ($PM_{2.5}$) could arise from geographical, seasonal, and pollutant elements. Therefore, we propose the optimum to make countermeasures about fine dust in terms of industry, topography, population and living residence.

• Journal of Intelligence and Information Systems
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• v.12 no.4
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• pp.51-60
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• 2006

The goal of qualitative analysis is to capture and formalize qualitative and intuitive knowledge about physical world. Qualitative reasoning has been successfully applied to electric and mechanical mechanism domains, in which most of reasoning has focused on simulation. This paper introduces a qualitative comparative analysis technique which predicts how a change in a given situation propagates. We developed a comparative analysis technique which extends previous research by including a reasoning technique about the relative rate of the change of a parameter. Previous research focuses only on the relative change of a parameter. Causal model for the given situation is generated from qualitative domain model. The propagation by the change in causal relations are traced by applying our comparative analysis. By providing explanation as well as prediction for the given change, our technique is expected to be used in design, diagnosis, intelligent tutoring system, environmental evaluation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.257-259
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• 2011

본 연구는 웹기반 신용교육에서 학습자의 몰입과 학습효과간의 관계를 분석하여 이를 기반으로 프로그램의 기획, 설계에 있어 시사점을 제공하기 위한 연구이다. 기존 연구 결과에 기초하여 웹기반 신용교육에서 몰입에 영향을 미치는 영향요인들을 학습자의 자기효능감, 상호작용성, 프로그램 유용성으로 정리하고, 몰입수준, 학습효과간에 어떠한 인과적 관계가 있는지 규명하였다. 분석결과 첫째, 상호작용성과 프로그램 유용성이 몰입수준, 학업만족도, 학습전이도 등과 상관관계가 높은 것으로 나타났다. 둘째, 몰입 영향요인으로 정리된 자기효능감, 상호작용성, 프로그램 유용성은 모두 몰입수준에 유의한 영향을 주는 것으로 나타났다. 셋째, 몰입 영향요인 중 상호작용성과 프로그램 유용성은 몰입수준 촉진을 매개로 하여 학습효과에 긍정적인 영향을 미치는 것으로 밝혀졌다.

• Smart Media Journal
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• v.11 no.7
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• pp.9-18
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• 2022

With the outbreak of COVID-19, the world is in unexpected chaos. In particular, the Korean economy, which has a large number of self-employed people, is experiencing enormous damage from COVID-19. The purpose of this study is to analyze the causal impact of start-ups and closures by industry due to the COVID-19 outbreak. For the causal impact analysis, we collected and analyzed 8,312,224 cases of start-up and closure of 190 businesses that occurred on the local administrative license data public site for 11 years from 2010 to 2020. As a result of the analysis of the causal impact of COVID-19, there were 29 industries in which start-ups increased(increase rate 313.14% ~ 6.39%), 23 industries in which start-ups decreased(decrease rate 70.62% ~ 11.27%), 21 industries in which closures increased(increase rate 157.55% ~ 13.57%), and 18 industries in which business closures decreased(reduction rate 49.45% ~ 12.91%). The industries in which start-ups increased and closures decreased due to the COVID-19 outbreak were disinfection, food transportation, and general sales of health functional food. The industries in where start-ups decreased and closures increased due to the COVID-19 outbreak were youth game providing industry, danran pub business, and general game providing industry. It is expected that the results of this study will help practitioners who manage various infectious diseases to understand the causal impact of infectious disease outbreaks and to prepare countermeasures.

• 한국체육학회지인문사회과학편
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• v.55 no.5
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• pp.127-142
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• 2016

The purpose of this study was to clarify the casual effects among participants'curiosity, the perceived exertion and the exercise emotion on the exercise adherence behavior in marine leisure sports. The subjects for the study was 491 students who registered for the curriculum on marine leisure sports(SCUBA diving, Windsurfing, Yacht). They answered to 4 kinds of questionnaires. The descriptive analysis and the reliability analysis were accomplished through SPSS 18.0. The correlation analysis and the confirmatory factor analysis were conducted for verifying the validity of the research model with AMOS 18.0. The verification for the structure equation modeling was conducted to investigate the casual relationship among factors. The results was as follows. First, there was the causality between the participants'curiosity on the marine leisure sports and the exercise emotion, the emotion and the exercise adherence behavior, the curiosity and the behavior. Also, the exercise emotion was the partial mediating variable of the causality between the curiosity and the exercise adherence behavior. Seconds, when the exercise intensity was heavy, the rate of the positive emotion was low and the opposite was high. When the exercise intensity was heavy, the probability, predisposing and reinforcing were low. A strong will for doing exercise showed in case the exercise emotion was positive with high probability, predisposing and reinforcing. The exercise emotion was the partial mediating variable of the causality between the perceived exertion and the exercise adherence behavior.

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.1-36
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• 2020

This study is to reveal the acceptance factors of the Market Sentiment Index (MSI) created by reflecting the investor sentiment extracted by processing unstructured big data. The research model was established by exploring exogenous variables based on the rational behavior theory and applying the Technology Acceptance Model (TAM). The acceptance of MSI provided to investors in the stock market was found to be influenced by the exogenous variables presented in this study. The results of causal analysis are as follows. First, self-efficacy, investment opportunities, Innovativeness, and perceived cost significantly affect perceived ease of use. Second, Diversity of services and perceived benefits have a statistically significant impact on perceived usefulness. Third, Perceived ease of use and perceived usefulness have a statistically significant effect on attitude to use. Fourth, Attitude to use statistically significantly influences the intention to use, and the investment opportunities as an independent variable affects the intention to use. Fifth, the intention to use statistically significantly affects the final dependent variable, the intention to use continuously. The mediating effect between the independent and dependent variables of the research model is as follows. First, The indirect effect on the causal route from diversity of services to continuous use intention was 0.1491, which was statistically significant at the significance level of 1%. Second, The indirect effect on the causal route from perceived benefit to continuous use intention was 0.1281, which was statistically significant at the significance level of 1%. The results of the multi-group analysis are as follows. First, for groups with and without stock investment experience, multi-group analysis was not possible because the measurement uniformity between the two groups was not secured. Second, the analysis result of the difference in the effect of independent variables of male and female groups on the intention to use continuously, where measurement uniformity was secured between the two groups, In the causal route from usage attitude to usage intention, women are higher than men. And in the causal route from use intention to continuous use intention, males were very high and showed statistically significant difference at significance level 5%.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.69-77
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• 2014

System Dynamics(SD) is one of the complexity theories that has attracted attention as a computer-aided simulation methodology to analyze a dynamic problem and to develop a policy(strategy) in social science. Though there are properly unproven cases in research models which were developed in various fields by SD methodology during the last five decades, they are utilized as models to represent SD sub-theories. For this reason, this study targeted the population dynamics model which was frequently utilized to explain SD fundamentals and it proved errors of reasoning a structure of the existing causal and dominant feedback loop. Consequently, we presented a strategy to strengthen the coherence between CLD(causal loop diagram) and SFD(stocks-and-flows diagram) for improving validity of the existing model. The findings of this study contribute to the advancement of the existing SD and to the reinforcement of validation for policy research models of SD.