• Journal of the Korean Home Economics Association
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• v.50 no.4
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• pp.37-50
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• 2012

This research was conducted for the analysis the middle-old aged empty nest households' debt holdings and their financial status(emergency fund index, liquidity index, debt burden index) considering the level of income and assets. In order to accomplish this study, we made use of the KReIS third beta-version data. The results of the analysis were as follows. First, in all income asset groups there were more non-debts holding houses compared to debt holding houses. Moreover in debts holding houses, compared to other groups high income high assets groups were more. Second, the households that possessed more assets, had more debts. Third, the financial status of the households holding debts were more vulnerable compared to households that had no debts. Moreover, all income asset groups' emergency fund index were low. Households having no debts possessed low real assets and so the liquidity index was higher in holding debts households. In holding debts households, debt burden index was high. And especially these houses suffered from high debt burden when their income and asset were low.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.803-810
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• 2020

This objective of this study is to enrich the literature by the debt ratio and enterprise performance of Joint stock companies of Vietnam National Coal and Mineral Industries Holding Corporation Limited (Vinacomin). The debt ratio is an important index of capital structure, and it influences and decides the enterprise performance. Therefore, the determination of reasonable debt ratio level is beneficial to the stable operation of Vinacomin's enterprises. Based on the research conclusion about the effect on capital structure of debt ratio from domestic and foreign scholar, collecting data from 2014-2018 of Vinacomin's enterprises as a research sample, the article conducts research on the relationship between debt ratio and business performance of Vinacomin, as measured by return on total Assets. In addition, the study uses free cash flow, company size, growth opportunity, investment opportunities, operating costs to sales ratio as control variables.The study shows the debt ratio of Joint stock companies of Vietnam National Coal and Mineral Industries Holding Corporation Limited has a negative effect on the enterprise performance. Furthermore, the research results of the article are references for Vinacomin' enterprises in the course of production and business activities, determining a reasonable debt ratio, and improving the operational performance of enterprises.

• Journal of the Korean Home Economics Association
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• v.38 no.11
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• pp.1-12
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• 2000

The purposes of the study were to investigate the effects of the debt burden which was measured objectively, the types of debts and socio-economic characteristics on the subjective debt burden of households. The questionaires for 457 households who hold some debts were analyzed using t-test, ANOVA and Duncan’s multiple range teat. The major finding are summarized as follows: (1) the objective debt burdens which were measured by three variables, that is monthly debt repayment, the ratio of debt repayment to household income and total debt amount, affected the subjective debt burden. The households in which the monthly debt repayment was over 200 thousand won, the debt repayment was over 20% of the household income and the total debt amount was over 15 minion won felt higher debt burden. (2) the types of debts, which were classified into four groups such as debts from financial institutes, debts from private sources, credit card debts and debt from retailers, influenced differently the subjective debt burden. Holding debts from financial institutes and debts from private sources increased the subjective debt burden whereas holding credit card debts and debt from retailers did not. (3) the level of subjective debt burden were different according to household income, change in income due to IMF crisis, financial assets, home ownership, residence, householder’s age, job and educational levee. Based on the results, criterion for household’s debt management were suggested.

• Korean Journal of Human Ecology
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• v.9 no.1
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• pp.21-32
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• 2000

This study investigated the effect of householder's occupation on the debt structures of households. Household debts were categorized into six types according to borrowing sources: debts from banks, other financial institutes, employers, private sources, Gye, and retailers. Householder's occupations were classified into four groups: full-time employees, employers, farmers & fishermen, and part-time employees. The data came from the 1996 Korean Household Panel Study. It was found that the rates of holding each types of debt and the debt amounts were different according to householder's occupation. The human and economic resources to overcome the possible household debt problems were also different by the householder's occupation.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• Korean Journal of Rural Living Science
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• v.10 no.2
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• pp.1-14
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• 1999

The purposes of this study are to identify the factors affecting asset and debt choice behavior of rural households as well as to examine the differences in asset and debt choice behavior between rural and urban households. The data are taken from Korean Household Panel Study conducted in 1996 by Daewoo Economic Research Institute. Among 2,833, a final sample of 2,625 -537 rural and 2,088 urban sample- is used in this study. The results show that, the asset and debt choice behavior of rural households is totally different from that of urban households. The ratio of rural households holding all types of financial assets and sales credit is less than that of urban households while the ratio of holding real asset and loan is greater in rural than urban households. The most influential variable on the ownership of asset and debt is the age of household head. And there exist interrelationships between ownership of different assets and debts.

• Journal of the Korean Home Economics Association
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• v.36 no.11
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• pp.219-230
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• 1998

The purpose of this study was to understand credit card uses and debt burden of the multiple credit card holders. Data were obtained from 428 housewives living in Seoul. OLS regression analysis was used for examining factors affecting credit card uses and debt burden for the multiple credit card holders. The findings could be summarized as follows. First, among the three types of credit cards-bank card, retail card, and professional card, the multiple credit card holders tended to have more bank cards than retail and professional cards. Second, holding of the professional card was positively associated with both the frequency and the amount of credit card use per month. Third, the household income, age, employment status, and motive were important factors in predicting their attitudes toward credit card. Forth, the level of education, employment status, holding of the professional card, motive, amount of credit card use, and attitude toward credit card had singificant effects on their perceived debt burden.

• Journal of Families and Better Life
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• v.14 no.2
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• pp.157-170
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• 1996

Even if holding debt may be a rational means for household to maximize utility under any circumstance and any time through the family life cycle most households have some difficulty to determin and keep the moderate debt amount. The purpose of this study is to identify the characteristics of household's debt and the factor associated with debt. Data used in this study consisted of 4,009 households. The results of this study were as follows; Among 4,009 households 1,400 housholds?(34.9%) owed. Age education and occupation of household header liquid and real asset and housing ownership had significant effects on whether household having debt. The real and liquid asset had significantly positive relation with the liabilities of financial agency whereas the occupation of household header liquid asset and unearned income with private liabilities. Finally age education and occupation of household header home ownership and liquid asset had significantly negative effect on the total a ount of debt while earned and unearned income and real asset had positive one.

• International Commerce and Information Review
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• v.11 no.1
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• pp.157-176
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• 2009

This study analyzed the information factors which determine cash liquidity in Korean export-oriented companies. In this paper, cash liquidity means the ratio of the value of cash or cash equivalent to the asset value subtracted marketable securities value from total asset value. The empirical test shows that main information factors are the size of company, the growth opportunity of company, the volatility of operating cash flows and free cash flows, the credit yield spread of company, the debt ratio, the turnover ratio of cash flows and free cash flows, and the estimate of bankruptcy that amounts to the inverse number of Z score. In summary, the size of company, debt ratio, turnover ratio of cash flows and free cash flows, and Z-score have negative influence on the cash liquidity of Korean export-oriented companies. but the volatility of operating cash flows affect the cash liquidity positively.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.219-235
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• 1992

This study attempted to examine a theoretical framework which synthesizes risk attitude, type of investment management and investment behavior and to provide the specific investment strategy by analysing several variables which have effect upon the investment behavior. The results of this research were as follow : 1. Risk attitude had significant differences by the variabels such as age, sex, education, income and debt/asset ratio. Also the type of investment management was influenced significantly by the variables such as age, education, occupation, income, total asset, debt/asset ratio, achievement motivation and risk attitude. The ratio of risky asset holdings was affected by the variabels such as age, education, occupation, housing ownership, income, total asset, debt/asset ratio, achievement motivation, risk attitude and type of investment management. 2. Among several variables affecting the ratio of risky asset holding risk attitude, education, type of investment management, debt/asset ratio and achievement motivation had direct effect on it. Besides age had indirect effect through risk attitude and age, achievement motivation and risk attitude had indirect effect through the type of investment management. 3. The results of this study showed that causal relation between input, throughput and output can be applied to household's investment behavior and the concept of risk or risk attitude can be applied to other fields except household's investment. Also it could be attributed to provide the investment strategy for improving level of household's financial well-being.