• Korean Journal of Social Welfare
• /
• v.68 no.3
• /
• pp.105-125
• /
• 2016

School absenteeism is considered one of the early predictors of school drop-out and serious delinquency or criminal behavior. The primary goal of the current study was to explore the protective and risk factors related to changing school absenteeism over time based on the ecological-systemic perspective. The data was derived from the Korean Children and Youth Panel Survey (KCYPS) using the 2011 and 2012 survey waves collected from 2,378 elementary school students. Using this data, Panel Fixed Effects Analysis was conducted. Major findings indicated that daily computer usage, parental abuse, school activity attendance, and school grades had an effect on students missing school days over time. Specifically, high levels of computer usage and parental abuse were related to increased school absenteeism, while high levels of school activity attendance and school grades were associated with decreased school absenteeism. These findings emphasized the importance of predictive intervention for children and suggested the need to construct a school absenteeism monitoring system in South Korea.

• Korean Journal of Family Social Work
• /
• no.55
• /
• pp.31-58
• /
• 2017

This study aims to explore the longitudinal reciprocal relationship between family conflict and depression level of household head. Using the Korean Welfare Panel study (KOWEPS) of 2006-2009, the study applied multiple regression analysis and autoregressive cross-lagged model to test the hypothesis. Results of multiple regression analysis indicate that single direction of the impact of family conflict on a head of household's levels of depression and the vise versa were statistically significant. That is, higher level of family conflict in 2006 caused an increased levels of depression of household head in 2009, controlling gender, age and depression level in 2006. Also, the higher level of depression of household head in 2006 increased the level of family conflict in 2009 fixed with same control variables. The autoregressive and cross-lagged coefficients of family conflict and a head of household's levels of depression were statistically significant during the 4 years. The findings support the family system theory, indicating that there are reciprocal causal relationships between the whole family conflict and individual depression level. The strategies of social welfare practice and policy should thus aim to decrease individual's levels of depression and improve positive family function simultaneously to break the vicious circle.

• Journal of Environmental Impact Assessment
• /
• v.25 no.5
• /
• pp.307-318
• /
• 2016

This research examines the impacts of urban population growth on per capita $CO_2$ emissions with particular focus on the interaction effect between urbanization and income levels. Employing the Panel Fixed Effects model together with the Pooled LS and Panel GLS models, the research reported here analyzes the relevant data on 84 countries. The statistical results show a nonlinear(an inverted-U) relationship between urbanization and per capita $CO_2$ emissions; that is, while the urban agglomeration leads to increases in per capita $CO_2$ emissions for low income countries, this adverse impact does not hold true for high income countries. The research findings can contribute to addressing broad issues of urban compactness and patterns of energy consumption that should be considered by those concerned about the sustainable urban development.

• Journal of Korea Society of Industrial Information Systems
• /
• v.28 no.6
• /
• pp.91-98
• /
• 2023

The amount of power generation of a solar plant has a high correlation with weather conditions, geographical conditions, and the installation conditions of solar panels. Previous studies have found the elements which impacts the amount of power generation. Some of them found the optimal conditions for solar panels to generate the maximum amount of power. Considering the realistic constraints when installing a solar power plant, it is very difficult to satisfy the conditions for the maximum power generation. Therefore, it is necessary to know how sensitive the solar power generation amount is to factors affecting the power generation amount, so that plant owners can predict the amount of solar power generation when examining the installation of a solar power plant. In this study, we propose a polynomial regression analysis method to analyze the relationship between solar power plant's power generation and related factors such as weather, location, and installation conditions. Analysis data were collected from 10 solar power plants installed and operated in Daegu and Gyeongbuk. As a result of the analysis, it was found that the amount of power generation was affected by panel type, amount of insolation and shade. In addition, the power generation was affected by interaction of the installation angle and direction of the panel.

• Journal of Digital Convergence
• /
• v.16 no.9
• /
• pp.279-291
• /
• 2018

This study is designed to demonstrate risk factors of unmet medical care for people with cerebrovascular disease. To do this, statistical analysis was performed by using hierarchical logistic regression analysis with SPSS/WIN24.0 program using Korean Medical Panel data in 2014. In the final model of the hierarchical logistic regression analysis, which is based on Anderson's Model, adjusted for the factors of the predisposing and enabling factors, the explanatory variables affecting the unmet medical development are gender, economic activity, income level, the experience of lying in a sickbed, restriction on activity, subjective health condition, and the number of chronic diseases. Based on the results of this study, the practical and policy implications for the effective management and treatment of cerebrovascular disease should be included in the countermeasures for cerebrovascular disease, a strategy to reduce the unmet medical incidence of cerebrovascular disease, in order to meet the medical needs, the necessity of comprehensive measures considering various dimensions of variables and the influential variables of unmet medical emergence have been suggested for the necessity of making a detailed service manual that can improve accessibility to medical services.

• Proceedings of the Korean Environmental Health Society Conference
• /
• 2005.11a
• /
• pp.126-129
• /
• 2005

본 연구는 서울지역 초등학교 학생 4, 5, 6학년 남 ${\cdot}$ 녀 초등학생들을 대상으로 봄철 대기오염농도와 일별 자각증상 과의 관련성에 대한 패널연구를 수행하였다. 로지회귀분석방법 중 일반화 추정 방정식(generalized estimating equations:GEE)모델을 이용하여 통계분석을 실시한 결과로는 서울지역 초등학교 학생들은 호흡기 증상보다는 피부가려움이나 눈의 따가움 등의 자극증상에 호흡성먼지(PM10)와 아황산가스 그리고 이산화질소 등의 대기오염물질 농도와 관련성이 있는 것으로 추정되었다.

• Journal of Korea Port Economic Association
• /
• v.29 no.2
• /
• pp.39-61
• /
• 2013

China, a leader of regional economies in North-East Asia, helps to integrate a single shipping market and affects diversely main ports in the region through affecting the flows of container transshipment, strategies of shipping companies for port calling and shipping networks. This study examines competition and cooperation among the hub ports in the region through studying examples of the three Chinese hub ports -Hong Kong, Shanghai, and Tianjin- and concludes some implications of status change of hub ports in the region after scrutinising development process of the Chinese main hub ports and the historic interaction of port development among these ports. The characteristics of growth pattern of three ports are as follows. The port of Hong Kong constructs step by step the container facilities in accordance with demand growth and prefers stabilisation of operation and management through scale enlargement of port facilities. Even though demand grows continually, the port of Shanghai continued its defensive attitude towards facility expansion till the 1990s and has tried to get economies of scale in enlargement of port facilities. The port of Tianjin, similarly as the two other ports, expands serially its facilities and utilizes the capacity concentration and functional specialisation of facilities. The analysis of panel data and panel regression of three hub ports implicates that each port has its own specific demand and shows that the interaction of container handling among three ports was weak in 1980s and has become stricter and stronger since 1990.

• Korean Journal of Social Welfare Studies
• /
• v.48 no.2
• /
• pp.303-329
• /
• 2017

This study aimed to explore the trajectories of computer game use of school age children and to identify the related predictors. The data for this study used Korean Children and Youth Panel data covering from the second year to the sixth year of elementary school. A total of 1,959 participants were analyzed. Latent class growth model was employed to explore the trajectories of computer game use and multinomial logistic regression was conducted to identify the significant predictors. Main results indicated that three types of trajectories were identified: low game using group, high initial using-fluctuating group, and high increasing game using group. Each group was found to be associated deferentially with sex, aggression, attention deficit, main caregiver's education, siblings, parent absence after-school, neglecting, family income, family trip, school grades, and peer relationship. Based on these findings, this study emphasized the importance of predictive intervention for the game user among early school age children and suggested useful practical strategies.

• Journal of Digital Convergence
• /
• v.17 no.4
• /
• pp.203-210
• /
• 2019

This study analyzed the size and influence factors of annual average health expenditure according to job type. Using data from the Korea Health Panel (2012), the final analysis was conducted on adults aged 20 years or older, excluding the missing data. Data analysis was done by logistic regression analysis to analyze the factors affecting medical expenditure. As a result of the study, Model 1 showed higher expenditure on medical expenses by skilled workers in agriculture and forestry fishery than those in simple labor. Model 2 was analyzed as having a positive effect on the increase of medical expenditure by the simple worker in the sales of the occupation, statistically significant by sex, marriage, income level and chronic disease. Therefore, it would be necessary to establish social security and health care & welfare policies, in order to grasp the disease with a high frequency rate according to occupation status and activate the physical examination and preventive actions.

• 한국사회복지학회:학술대회논문집
• /
• 2005.04a
• /
• pp.515-532
• /
• 2005

본 연구는 경제관련 수준이 생활만족도에 미치는 영향을 분석하였다. 이를 위해 한국노동패널조사(KLIPS)자료 중 4,294가구 10,553명을 대상으로 지역에 따른 경제관련 변인들의 차이를 분산분석을 통해 알아보았고, 단순한 경제수준 변인이 생활만족도에 미치는 영향과 경제수준을 지역에 따라 표준점수(Z-score)로 환산한 변인이 생활만족도에 미치는 영향을 회귀분석을 통해 비교하였다. 연구 결과 단순한 경제수준보다는 표준점수로 환산된 상대적 경제수준이 더 큰 설명력을 갖는 것으로 확인되었다. 또한 일정부분 생활만족도에 정적 영향을 줄 것으로 기대되었던 소득과 지출, 저축 둥 경제수준 관련 변인들이 일관되게 부적 영향을 갖는 것으로 나타났다. 이러한 결과는 가구지출 기준 상위집단과 하위집단에서 동일하게 나타났다. 한 편 상위집단과 하위집단에서의 소득 관련 변인들의 영향력이 일부 상이하게 나타났는데, 상위집단에서는 전년도의 소득이 부적으로 더 근 영향력을 갖는 반면에 하위집단에서는 전월의 소득이 부적으로 더 큰 영향력을 갖는 것으로 나타나 하위집단의 소득 불안정이 생활만족도에 영향을 주고 있음을 시사하였다.