• The Korean Journal of Elementary Counseling
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• v.11 no.3
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• pp.331-350
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• 2012

This paper aims at investigate factors inducing school violence from an ecological standpoint on the assumption that a correct analysis of what brings about it must be carried out in advance in order to prevent and cope with school violence, For that, an ecological heuristic model of factors related to school violence devised by Benbenishty and Astor(2005), who were greatly influenced by the ecological developmental theory of Bronfenbrenner(1979), was briefly introduced. On the basis of this model the author classified school violence factors into school-level factors, individual factors, family-level factors, and community contextual factors and examined relevant literature and preceding studies. Through this discussion a conclusion was drawn that, because school violence occurs not by one cause but by various causes including school, individual, family, community related factors, and it can be called 'a synthetic violence type', it is necessary to set up synthetic measures against these factors on a long-term basis. It also was concluded that only when schools, homes and societies free from factors inducing school violence are built, the countermeasures against school violence will be truly effective.

• International Area Studies Review
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• v.15 no.2
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• pp.151-173
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• 2011

The purpose of this paper is to examine the impact of production factors on economic growth in China during 1979~2008. In order to grasp the determinant and contribution analysis, we take fixed effect model and random effect model and Hausman test to choice model. The results show that the finance variable (rsav) and SOC variable (rsoc) have negative effects on the economic growth in the long run except some models. But unimproved raw labor variable (rlab), physical capital variable (rcap) and education variable (redu) shows strongly positive effect for the same time. We found the meaning of coefficients of growth factors. relative contribution of each input to per-capita growth in China. The direct elative contribution of physical investment to per-capita growth gives 35.9 percent in total model (TMO) and unimproved raw labor contributes only 4.7 percent. In all modes, physical investment (rcap) was the most important contributor of predicted growth in China economy.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.145-156
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• 2021

Forest fires have frequently occurred around the world, and the damages are increasing. In Korea, most forest fires are initiated by human activities, but climate factors such as temperature, humidity, and wind speed have a great impact on combustion environment of forest fires. In this study, therefore, based on statistics of forest fires in Gyeonggi-do over the past five years, meteorological and hydrological factors (i.e., temperature, humidity, wind speed, precipitation, and drought) were selected in order to quantitatively investigate causal relationships with forest fire. We applied a partial least squares structural equation model (PLS-SEM), which is suitable for analyzing causality and predicting latent variables. The overall results indicated that the measurement and structural models of the PLS-SEM were statistically significant for all evaluation criteria, and meteorological factors such as humidity, temperature, and wind speed affected by amount of -0.42, 0.23 and 0.15 of standardized path coefficient, respectively, on forest fires, whereas hydrological factor such as drought had an effect of 0.23 on forest fires. Therefore, as a practical method, the suggested model can be used for analyzing and evaluating influencing factors of forest fire and also for planning response and preparation of forest fire disasters.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.228-228
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• 2011

지난 수년간 사회 문화적 인식 변화 및 정치 경제적 여건 변화와 함께 치수사업이나 정책의 원할한 추진을 위한 갈등의 예방과 조정, 해결이 매우 중요한 이슈로 대두되고 있다. 하지만 기존의 일방적이고 획일적인 추진방법과 여러 가지 원인들로 인해 환경단체나 그 지역의 이해당사자와의 마찰이 불가피해졌으며 이러한 갈등을 완화하거나 조율할 수 있는 제도 및 정책적인 방법은 이미 한계를 드러내고 있다. 이에 본 연구에서는 이해당사자들의 참여와 충분한 협의를 통해 해결책을 도모할 수 있는 객체지향적인 소프트웨어를 개발함에 있다. 다양하고 광범위한 갈등 발생 요인을 모두 고려하기란 실질적으로 많은 어려움과 전문성 및 복잡성을 가지고 있으며, 또한 공영시각모형은 이해당사자간의 의견을 신속하게 수렴하여 결과를 제시할 수 있어야 하며 다양성을 고려할 수 있도록 유동적이어야 함을 감안할 경우 어느 정도 범위를 가질 수밖에 없는 한계를 가지고 있다. 따라서 댐 건설과 같은 대형 치수사업이 수행되는 경우 이해당사자의 참여와 정보공개 추진절차 등에 대해 투명성을 확보할 수 있는 행정적인 요인과 기술(공학)으로는 홍수저감효과, 경제적 요인에서는 사업의 효과성과 타당성을 개략적으로 도출하여 제시함으로써 위의 3가지 갈등 발생요인을 갈등 조정 목표로 설정하고 본 논문에서는 댐 건설시 이수와 치수분야에 있어 이수용량 산정에 대한 모형을 구축하였다.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.159-182
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• 2018

The purpose of this study is to increase the competitiveness of big data in the maritime port organization, by understanding the expected performance and the intention to accept and use big data. In the empirical analysis of factors affecting the intention to use the big data technology for maritime port organizations, the variables employed are based on the Technology Organization Environment(TOE) and Diffusion of Innovations(DOI) theories, which are related to the acceptance of information and communication technologies. To achieve the objective of this study, an empirical analysis was conducted; this analysis targeted the personnel involved in the department of strategic planning and information technology in the related field. We set up eight hypotheses to examine the relevance between variables having three characteristics-technology, organization, and environmental characteristics. The empirical results are summarized as follows. First, it was seen that the technology characteristic, including relative advantage, complexity, and compatibility, has a significant effect on the expected performance. Second, the top management support of the organization characteristic has a significant effect, but the firm size of this characteristic has no significant effect on the expected performance. Third, the competitive pressure of the environment characteristic has a positive effect on the expected performance, while the regulatory support has no significant effect. Finally, the expected performance has a significant effect on the intention to use big data.

• Management & Information Systems Review
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• v.29 no.2
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• pp.1-25
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• 2010

This study attempted to empirically test the determinants of stock returns in Korean stock market applying multi-factor model proposed by Haugen and Baker(1996). Regression models were developed using 16 variables related to liquidity, risk, historical price, price level, and profitability as independent variables and 690 stock monthly returns as dependent variable. For the statistical analysis, the data were collected from the Kis Value database and the tests of forecasting power in this study minimized various possible bias discussed in the literature as possible. The statistical results indicated that: 1) Liquidity, one-month excess return, three-month excess return, PER, ROE, and volatility of total return affect stock returns simultaneously. 2) Liquidity, one-month excess return, three-month excess return, six-month excess return, PSR, PBR, ROE, and EPS have an antecedent influence on stock returns. Meanwhile, realized returns of decile portfolios increase in proportion to predicted returns. This results supported previous study by Haugen and Baker(1996) and indicated that firm-characteristic model can better predict stock returns than CAPM. 3) The firm-characteristic model has better predictive power than Fama-French three-factor model, which indicates that a portfolio constructed based on this model can achieve excess return. This study found that expected return factor models are accurate, which is consistent with other countries' results. There exists a surprising degree of commonality in the factors that are most important in determining the expected returns among different stocks.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.213-231
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• 2003

This paper uses the Efficient Method of Moments(EMM) of Gallant and Tauchen to estimate continuous-time stochastic volatility diffusion model for the Korean Composite Stock Price Index, sampled daily over $1995\sim2002$. The estimates display non-normality of stock index return, leptokurtic distribution, and stochastic volatility. Funker, this study suggests that two factor stochastic volatility model will be more desirable than one factor stochastic volatility model to estimate daily Korean stock return and also suggests that the stochastic volatility diffusions should allow for Poisson jumps of time-varying intensity.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.17-24
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• 2008

Traffic accident forecasting model has been developed steadily to understand factors affecting traffic accidents and to reduce them. In Korea, the length of highways is over 3,000km, and it is within the top ten in the world. However, the number of accidents-per-one kilometer highway is higher than any other countries. The rapid increase of travel demand and transportation infrastructures since 1980's may influence on the high rates of traffic accident. Accident severity is one of the important indices as well as the rate of accident and factors such as road geometric conditions, driver characteristics and type of vehicles may be related to traffic accident severity. However, since all these factors are interacted complicatedly, the interactions are not easily identified. A structural equations model is adopted to capture the complex relationships among variables. In the model estimation, we use 2,880 accident data on highways in Korea. The SEM with several factors mentioned above as endogenous and exogenous variables shows that they have complex and strong relationships.

• Journal of Korea Water Resources Association
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• v.45 no.11
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• pp.1131-1141
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• 2012

In this study, factors that influence water supply capacities of dams are extracted using factor analysis, and multiple regression equations for estimating water supply capacities of dams are developed using the analysis results. Twenty-one multi-purpose dams and twelve Municipal and Industrial (M&I) water supply dams are selected for case studies, and eight variables influencing water supply capacities of dams, namely: watershed area, inflow, effective reservoir storage, grade on amount of M&I water supply, grade on amount of agricultural water supply, grade on amount of in-stream flow supply, grade on river administration, and grade on average rainfall, are determined. Two case studies for multi-purpose dams and M&I water supply dams are performed, employing factor analysis, respectively. For the two cases, preliminary tests, such as reviewing matrix of correlation coefficient, Bartlett's test of sphericity, and Kaiser-Meyer-Olkin (KMO) test, are conducted to evaluate the suitability of the variables for factor analysis. In case of multi-purpose dams, variables are grouped into three factors; M&I water supply dams, two factors. The factors are rotated using Varimax method, and then factor loading of each variable is computed. The results show that the variables influencing water supply capacities of dams are reasonably selected and appropriately grouped into factors. In addition, multiple regression equations for predicting the amounts of annual water supply of dams are established using the factor scores as explanatory variables, it is identified that the models' accuracies are high, and their applications to determining effective storage capacity of a dam during dam planning and design steps are presented. Consequently, it is thought that the variables and factors are useful for dam planning and dam design.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.747-755
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• 2015

The purpose of this study was to analyze the factors on behavioral intention in u-health system using Health Promotion Model(HPM) by Pender [11]. This study used PLS-SEM(Partial Least Squares-Structural Equation Modeling) method for verification of the proposed model and conducted the analysis with sample data of 216 respondents. As a result of the analysis, a path from individual experience to personal health and also, path from self-efficacy to behavioral intention had the highest influence in the research model. Also, it was confirmed that the only factor that affect health promotion behavior was 'self-efficacy' variable in u-health system. However, in the future time, additional research is needed in that this study has small sample data and needs more clear definition on u-health system.