This study analyzed how not only socio-economic variables but also lifestyle variables affect the expenditure and the patterns of households. The result of multiple regression analysis resealed that economic variables(e.g, income, saving, property) and lifestyle variable(e.g, enjoyment and convenience seeking type) affected the consumption expenditure. Based on the result of cluster analysis, The consumption expenditure patterns of urban households were separated as 1)necessity dominant pattern, 2)transportation $.$ communication dominant patters, 3)other consumption dominant pattern, 4)education$.$culture and recreation dominant pattern. The result of logistic analysis revealed that debt, saying and living location variables were major factors to determine the consumption expenditure patterns of urban households. But did not Influence on the Consumption Expenditure Patterns.
The purpose of this study is to identify the preferences for care type among the elderly and to analyze contributing variables. The sample in this study are 485 elder people who are age 55 and over. The independent variables are divided into five factors according to their characteristics, and the dependent variables fall into two categories of private and public care types. The descriptive statistics and Logistic Regression method are employed for the analysis. The results can be summarized as follows. The elderly prefer individual care paid for by their own support to the other types like the care by children or institution. However, the elderly stiff like and expect family care by their children. The variables that haute affected the preferences of the care types among the elderly are whether they are employed or not, household's the amount of debt, whether they currently live with the oldest child, their level of self esteem and their degree of satisfaction in life. The results show that the elderly don't have various wants or alternatives to their care and regard public care as negative support for the financially incapable or the elderly who have no relatives.
Objectives: The purpose of this study is to compare analysis of financial performance in university hospitals. Methods: Data from 2005 to 2017 were collected from income statement, balance sheet, and annual reports in 23 university hospitals. The dependent variables are used financial performance, namely, medical profit to total assets, medical profit to medical revenue, and net profit to medical revenue. The independent variables are establishment type, hospital province, bed, open liquidity, stability, and activity. Results: From 2005 to 2007, university hospitals steadily increased medical revenues, nonmedical revenues, medical profit, net profit, and reserve fund for essential business by investing fixed assets using financial leverage. From 2015 to 2017, the debt ratio was minimized based on existing management performance. Results showed that university hospitals maintained high profitability by actively investing in medical equipment, medical environment, and facilities using reserve fund for essential business. Conclusions: Results suggest that this will be the basic data for efficient management of university hospitals.
The purpose of this study were to identify the financial status of the home based business, and to analyze the factors effected on it. The sample consisted of 713 self-employed from data of 1998 Korea Household Panel Study, and analyzed into Frequencies, Percentile, t-test, $\varkappa$$^2$-test, and Regression Analysis. The findings showed that the household income and expenditure level of female self-employed was higher than those of male self-employed. In case of financial status of business, male self-employed's net profit was higher than female's and the net profit to total sales ratio of male self-employed was greater than female's. The factors contributing to total expenditure to total income ratio were sex, educational level, future economic expectancy, residence and home ownership of self-employed, while the factor effect on total asset to total debt ratio was only total household income. The Variables of sex, educational level of self- employed, job type of home based business and the number of employees in home based business were associated with net profit to total sales ratio, age and educational level of serif-employed, and job type of home based business was related to total sales to the number of emploees ratio(labor productivity).
The current study aims to identify factors associated with private tutoring of college students in Korea. For this purpose, this study used the Korean Education and Employment Panel survey, which contains items regarding whether or not college students receive private tutoring as well as the monthly costs of private lessons. The current study focuses on private English lessons due to the very low response rates of other types of private tutoring. For the analysis, the 5th wave of KEEP collected in 2008 was selected, and a Heckman selection model was employed, including three categories of variables: individual, school, and parent/household factors. The results have revealed that for the selection model (receiving private English tutoring or not), having received private lessons in high school, gender, and level of satisfaction regarding the respondent's current university were significant. In terms of the outcome model (cost for private English tutoring in college), university admission type (rolling vs. regular), living with parents, school type (4-yr university vs. others), being in debt to cover private lesson fees in high school, and monthly household income had significant effects. This article also discusses the results and implications for future research and policy makers.
The purposes of this study were to compare financial status of home-based family business with that of ensile family business, and to analyze the factors effected on financial status of both business groups. The sample consisted of 295 home-based family business and 418 ensile family business among self-employed household of 1998 Korea Household Panel Data, and analyzed into Frequencies, Percentile, t-test, $\chi$$^2$-test and Regression. The findings were as follows: First, in case of financial status of household, there was no significant difference between home-based family business and ensile family business. Second, in case of financial status of business, total sales amount and net profit of home-based family business were lower than those of onsite family business, however net profit to total sales ratio of home-based family business was higher than those of onsite family business. Third, the factors contributing to total expenditure to total income ratio of home-based family business were business owner's present economic perception, future economic expectancy and residence, while business owner's age, the number of children and of tamer, and residence were significant variables contributing to same ratio of onsite family business. The factors contributing to total asset to total debt ratio of home-based family business was only business owner's future economic expectancy, however factors affected on the counterpart were business owler's future economic expectancy and job type of family business. Fourth, the variables of sex, age, educational level of family business owner, job type and family type of family business were associated with net profit to total sales ratio of home-based family business, and sex, educational level of family business owner, job type of family business, and the number of employees were related to same ratio of the counterpart. In addition, educational level of family business owner, job type and residence were related with total sales to the number of employees ratio of home-based family business, and educational level of family business owner and job tape of family business were related to same ratio of ensile family business.
Journal of the Korea Academia-Industrial cooperation Society
/
v.17
no.11
/
pp.66-79
/
2016
A discussion has recently emerged over the increase of approvals of K-REITs, which is concluded on the basis of how to raise funds for business activity, fulfill the expected rate of return and maximize the management of managing investment funds. In addition, corporations need to acknowledge the necessity of the capital structure reflected in the current economic environment and decision-making processes. This research analyzed the characteristics by investment types and influence factors about the debt ratio of K-REITs. The data were collected from general management about business state, investment, and finance from 2002 to 2015 in K-REITs (except for the GFC period of 2007~2009). The results of the research demonstrated the high ratios of the largest shareholder characteristics, which are corporation, pension funds, mutual funds, banks, securities, insurance, and, recently, the increasing ratio of the largest shareholder and major stockholder. The investment of K-REITs is increasing the role of institutional investors that take a leading development of K-REITs. The behaviors of simultaneous investment of institutional investors were analyzed to show that they received higher interest rates than other financial institutions and ran in parallel with attraction and compensation. The results of the multiple regressions analysis, utilizing variables about debt ratio were as follows. The debt ratio showed a negative (-) relation that profitability is increasing, which matches the pecking order theory and trade off theory. On the other hand, investment opportunities (growth potential) showed a negative (-) relation and assets scale that indicated a positive (+) relation. The research results are reflected as follows. K-REITs focused on private equity REITs more than public offering REITs, and in the case of financing the capital of others, loan capital is operated under the guarantee of tangible assets (most of real estate) more than financing of the stock market. Further, after the GFC, the capital of others was actively utilized in K-REITs business, and the debt ratio showed that the determinant factors by the ratio and characteristics of the largest shareholder and investment products.
Journal of Family Resource Management and Policy Review
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v.14
no.1
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pp.135-159
/
2010
The purpose of the study was to investigate the characteristics and economic status of deficit households compared to surplus households. Data from The Household Income and Expenditure Survey 2005 by NSO and 50, 207 salary/wage earners' households were used for the analysis. The statistical methods used were GLM, logit, and cluster analyses. The analysis results showed that 25.3 percent of the households were deficit households. Approximately half of the lowest 20% income group were deficit households. Income deficit households earned 1, 273 thousand less than that of surplus households, whereas consumption of deficit households was 1, 006 thousand more than that of surplus households. The average propensity of consumption of deficit households was 142.1. According to the logit analysis, factors contributing to the probability of belonging to a deficit household included income level, household size, age and educational level, occupation, homeownership, car ownership, and wife's employment status. Deficit households were classified into 5 types: 1) health care expenditure-dominated group, 2) housing expenditure-dominated group, 3) education expenditure-dominated group, 4) money transfer-dominated group, and 5) overall-overconsumption group. The overall-overconsumption group was the largest group of all at 58.5%. It was found that for all five groups, the changes in household size, income group, home ownership, and occupation of the individual were variables that influenced the probability of belonging to a certain group.
This study is aimed at evaluating the financial structure of hospitals before and after the separation of prescription and drug dispensing policy started to be implemented in July 2000 and at making a suitable hospital managerial strategy through the verification of the factors which have effect on their profitability. This study investigated the hospitals which have passed the accredition review to be designated as a accredited training hospital each year for three years from 1999 to 2001. Those hospitals were selected from members of the Korea Hospital Association. 106 hospitals were targeted for analysis except for the hospitals whose financial statements and managerial performance were not reported faithfully. The financial indicators used in this study were stability indicators(liability to total assets, ratio of debt to fund balance, fixed ratio), liquidity indicators(current ratio, quick ratio), activity indicators(total assets turnover, fixed assets turnover), profitability indicators(net profit to total assets, net profit to net worth, operating margin), and operating expenses to patient revenues indicators(drug and supplies costs/payroll/overhead expenses). The result of this study are as follows: First, the analysis of the increase of loss-making hospitals before and after. The separation of prescription and drug dispensing policy shows that the number of loss-making hospitals increase after the separation(22.6% before the separation; 31.1% after the separation). However, there was no significant statistical difference. Second, the analysis of operating expenses to patient revenues indicators showed that the ratio of drug and supplies cost became lower in all hospitals but the ratio of payroll/overhead expenses became higher. Additionally, the factor which have the greatest effect on profitability was operating expenses to patient revenues indicators (drug and supplies costs/payroll/overhead expenses). Third, the analysis of managerial performance by four types of loss-loss, loss-profit, profit-loss and profit-profit compared the results before the separation with those after the separation revealed as follows : Reliance on liability to total assets became higher in the profit-loss type($56.2%{\rightarrow}66.4%$), lower in the loss-profit type($82.7%{\rightarrow}74.5%$). Total assets turnover became higher in the profit-profit type($1.3{\rightarrow}1.5$), but lower in the loss-profit type($0.8{\rightarrow}0.7$). Operating margin decreased to minus 5.9% from 4.3% in the profit-loss type, but increased to 7.2% from minus 7.8% in the loss-profit type. Forth, operating expenses to revenues indicators showed that the increase of payroll was the biggest in the profit-loss type($39.2%{\rightarrow}49.9%$) and that overhead cost decreased in the loss-profit type but that rather increased in other types.
The purpose of this study is to examine the changes in financial structure of the self-employed brought on the economic crisis in Korea.. We use financial ratio analysis, such as income to expenditure ratio, liquidity ratio, debt ratio, and capital accumulation ratio to analyze financial well-being of self-employed households. This study used a 1997 and 1998 Korean Household Panel Study collected by Daewoo Economic Research Institute. The average amount of holding of each type of asset showed that the investment of self-employed households decreased in the banking industry and the stock market in 1998 compared to 1997. On the other hand, asset allocation in bond and real estate increased, which implied preference for a stable type of asset with the increase in uncertainty of the future and economic instability. Devaluation of real estate allowed households to easily obtain real estate and increase preference for asset allocation in real estate after the crisis. The changes in financial ratio for the year 1998 shows that such ratios as income to expenditure, liquidity, and capital accumulation, decreased compared to the year 1997. Among those ratios, the income to expenditure ratio showed the biggest decline because of reduced income of self employed households. The results implied that the income structure of the self-employed is unstable, thus the self-employed were likely to be greatly affected during the economic downturn. Earners have more average income and net assets than the self-employed. However, using financial ratios, it was found that self-employed households were more stable than employees. The results shows that the financial ratio analysis is better tool to estimate households financial status. Implications for financial educators, counselors, and planners are offered. The results will provide implications for policy makers to establish appropriate policies for the self-employed and help them financially survive.
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