• Korean Journal of Occupational Health Nursing
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• v.25 no.4
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• pp.277-289
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• 2016

Purpose: This study aims to investigate the cross-sectional association of company size and self-rated health using representative data on Korean workers. Methods: We used the data from 2,884 wage workers collected by Korean Labor and Income Panel Study (17th). The association between company size and self-rated health was analyzed using logistic regression with covariates including demographic characteristics, work environment, job satisfaction, and health-related behaviors. Resulst: Odds ratio (OR) for better health status among workers in large-sized company was 1.351 (CI. 1.054~1.731), compared to workers in small-sized company. We performed three separate models stratified by firm size (small, medium, and large companies). Occupation variables showed different effect on health depending on firm sizes. OR for better health of white-color job (referred to blue-color job) was 1.693 in medium-sized company model but it was 0.615 in large company model. OR for better health of the workers working shift work showed 0.606 in large company model but it was not significant in small and medium company models. Conclusion: We found that small-sized company workers have significantly poor self-rated health compared to large-sized firm workers. This study revealed that there exist differences among health related factors depending on firm sizes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.251-259
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• 2018

This study was conducted to investigate individuals' mental health on the basis of scores for depression and self-esteem from the Korea Welfare Panel Study (KWPS) and determine their dynamic association with employment status. This study was conducted using the eighth (2013) and ninth (2014) data from the KWPS. To identify factors affecting depression, socio-demographic factors, factors related to mental health, and contents related to employment, such as changes in the employment condition and employment status, were selected and analyzed by t-test, ANOVA, and hierarchial multiple regression to determine the explanatory power. Multiple regression revealed that in Model 1, those who were female, were older, had no spouse, were in the lower income bracket, had lower total self-esteem, and scored higher for depression in the previous period tended to show higher levels of depression. Education had no significant effect and explanatory power for all variables inputted into this model was estimated to be 30.8% (p<0.001). The explanatory power for all variables input into Model 2, which was generated by inputting employment status into Model 1, was estimated to be 30.9%, which was 0.1% higher than for Model 1 (p<0.05). These results indicated that depression was significantly correlated with gender, age, income, presence of a spouse, previous depression, self-esteem, and employment status; accordingly, investigation of the factors that can narrow the gap among variables affecting depression should be conducted and socially supported.

• Korean Journal of Social Welfare Studies
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• v.43 no.2
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• pp.61-85
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• 2012

The purpose of this study is to examine whether the national pension affects the life satisfaction of old age, using the first and third-wave data from the Korean Retirement and Income Study. The study analyzes the relationship between the national pension and life satisfaction, using several operational definitions of these two variables. This study utilizes the Difference-in-Difference(2D) models and panel data analysis. The main results are : First, the result of simple 2D shows that there is not significantly difference between the pensioner and that of non-pensioner. Second, the result of 2D regression also shows that pension is not significantly associated with life satisfaction of the old age. Lastly, the result of fixed-effect model confirms that the national pension does not have a statistically meaningful effect on the life satisfaction, controling for the unobserved characteristics of the old age. This study also conducts sensitivity analysis and discusses policy implications.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.79-92
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• 2019

This study analyzes the effects of freight transportation income, capital, asset, non-operating expenses, and debt ratio on the debts of inner port freight transportation businesses through the GLS of panel regression analysis and the estimation of fixed effects model. The factors and hypotheses were established through a theoretical background review, and the financial statement and profit and loss data of inner port freight transportation businesses for 10 years from 2006 to 2015 were analyzed. The results showed that assets had positive effects on debts, and negative effects on capital, non-operating expenses, and debt ratio, but no effect on freight transportation income. This result empirically demonstrates the tendency of inner port freight transportation businesses to secure assets by increasing debts, creation of debt reduction leverage effect using non-operating expenses such as interest expenses through bank borrowing, and the adoption of management characteristics and financial operation method to lower the debt ratio by reducing capital more than debts. In future studies, it is necessary to analyze coastal port freight transportation business by industry (oil tankers, cargo ships, and barge ships), and regions such as East, West and South sea.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.363-370
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• 2022

The study aims to probe the impact of foreign ownership on Vietnamese listed firms' capital structure. This study employs panel data of 288 non-financial firms listed on the Ho Chi Minh City stock exchange (HOSE) and Ha Noi stock exchange (HNX) in 2015-2019. In this research, we applied a Bayesian linear regression method to provide probabilistic explanations of the model uncertainty and effect of foreign ownership on the capital structure of non-financial listed enterprises in Vietnam. The findings of experimental analysis by Bayesian linear regression method through Markov chain Monte Carlo (MCMC) technique combined with Gibbs sampler suggest that foreign ownership has substantial adverse effects on the firms' capital structure. Our findings also indicate that a firm's size, age, and growth opportunities all have a strong positive and significant effect on its debt ratio. We found that the firms' profitability, tangible assets, and liquidity negatively and strongly affect firms' capital structure. Meanwhile, there is a low negative impact of dividends and inflation on the debt ratio. This research has ramifications for business managers since it improves a company's financial resources by developing a strong capital structure and considering foreign investment as a source of funding.

• Human Ecology Research
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• v.60 no.2
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• pp.289-302
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• 2022

This study examined the effect of private educational expenditure on adolescent depression and somatic symptoms. The sample comprised 2,589 first-grade middle-school students who completed the 2018 Korea Children and Youth Panel Survey. Data were analyzed using ANOVA (the generalized linear model), multiple regression, and quantile regression analysis. The principal results were as follows. First, 15.15% of adolescents reported depression symptoms, and 15.57% reported somatic symptoms. Second, levels of depression were significantly different among classes with a different level of private educational expenditure. Third, depression level was significantly negatively associated with private educational expenditure, in that the higher the private educational expenditure, the lower the depression level. Fourth, the effect of private educational expenditure on adolescent depression was significant at the 70~90th quantile regression, suggesting that private educational expenditure was associated with a higher level of depression symptoms. The results indicate that private education was viewed as a consumption commodity rather than a complementary educational practice or investment in human capital. Private education as a commodity might induce the highly developed and costly private education market. In turn, there is an increased financial burden for education at one end of the social-economic continuum and depression caused by relative deprivation at the other end.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.331-344
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• 2014

This study attempts to explore the difference of innovation sources between high-tech industry and mid-tech industry through patent analysis. After extracting 119 corporates, commonly surveyed in 2007 HCCP(Human Capital Corporate Panel) and 2005~2006 Korea Innovation Survey, their patents applied for the Korean Intellectual Property Office in 2007~2012 are analysed mainly through negative binomial regression model. Analytical results shows that external information source could be opposite effects to technological innovation depending on technological level and industrial characteristics. The current results are still bounded in the statistical significance, mainly due to the limited observations and information.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.43-48
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• 2021

In this study, an analysis was performed using the growth data and environment data of Korean melon farmers to confirm the influence of environmental factors variables on fruit weight of Korean melon. The analysis results can be summarized as follows. First, it was confirmed that humidity and temperature were recognized as the most important factors among the core factors of korean melon farm production management. Second, The correlation analysis of fruit weight and environmental factors showed a statistically significant soil temperature, internal humidity. Third, The Pooled OLS model estimation results showed that the estimation coefficient for soil temperature is (-), and the estimation coefficient for soil temperature square is (+), indicating that optimal control temperature exists.

• Journal of the Korean Society of School Health
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• v.31 no.1
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• pp.18-28
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• 2018

Purpose: The purpose of this study was to investigate the factors that influence ego-resilience among adolescents who have experienced abuse by parents in South Korea. Methods: This correlational study used the 4th year cross-sectional data of the seventh-grade middle school students who participated in the Korean Children and Youth Panel Survey (KCYPS) in fourth grade. Data analysis was performed by using SPSS/WIN 23.0 program, which included descriptive statistics, Pearson's correlations coefficient, and hierarchical regression. Results: The results of the hierarchical regression of model 5 revealed that the quality of peer relations played the most significant role in predicting ego-resilience of abused adolescents, followed by self-identity. Also, self-esteem, the quality of teacher-student relationships, excessive expectations from parents, and community awareness had a significant impact on the variance of self-resilience in abused adolescents. This regression model explained 42% of the variance. Conclusion: This study showed that ego-resilience, an asset and resource to help adolescents overcome adverse effects of abuse, was influenced by social environment as well as individual factors. In addition, social support from peers and teachers had greater influence on ego-resilience than support from family members. Thus, the factors identified in this study need to be considered in programs designed to improve ego-resilience as well as in policies for abused adolescents.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.131-142
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• 2017

Objectives : This study aimed to examine to relevance of socioeconomic class recognition and subjective health status of injured workers. Methods : We used data collected over 3years by the Panel Study of Worker's Compensation Insurance(PSWCI; 2015). Data was analyzed using the chi-square test and logistic regression using SPSS ver. 22.0 to verify the relevance between the socioeconomic class recognition and general characteristics of injured workers. Results : First, the income groups of first class, second class and third class were analyzed as being of lower socioeconomic class status, and the income group four class and five class was analyzed as being the middle-ower the socioeconomic class status. Second, the better the subjective health status, higher the perception of socioeconomic class status, as analyzed by Model 1 using only the parameters of socioeconomic status recognition and Model 2 and Model 3 using income class and general characteristics. Conclusions : Health and industrial accident policies are needed to improve awareness of socioeconomic class status of injured workers.