• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.201-215
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• 1996

The purpose of the study was to examine the effects of household characteristics to family savings. Family savings were defined in four ways such as monthly savings, average propensity to save, financial assets, and net financial assets. The household characteristics dealt with were family income, household size, number of earners, age, occupation, education, housing tenure, and urbanization. The data used in the study was Survey of Family Finance 1990. The main statistical method was multiple regression. Family income was found to the most important variable to determine four family saving variables holding other characteristics constant. Also, household size had significant negative effects on family savings. Two-earner households were found to have higher average propensity to save and less financial assets compared to single-earner households. Fro monthly savings and average propensity to save, the households with forties andfifties household head tended to be less than others, while financial assets tended to increase with the age of household head. Compared to salary earner households, blue-colored households had significantly lower average propensity to save, and the households with professionals had significantly higher financial assets. The college-graduated households tended to have less monthly savings than the elementary-graduated households. Also, the housing renters were found to have more monthly savings and higher average propensity to save, compared to the housing owners.

• Human Ecology Research
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• v.62 no.3
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• pp.409-426
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• 2024

The purpose of this study was to analyze the financial portfolios of single-person households. For the analysis, data from the Korean Labor Panel Survey (2021) was utilized, comprising 2,905 single-person households. The major findings are as follows: First, the proportion of households with monthly savings was 32.0%, while the proportion of households holding financial assets was 72.1%. Second, regarding the composition of monthly savings, single-person households predominantly held savings accounts (93.3%), followed by insurance (4.7%), with cumulative funds at a mere 0.8%. The composition of financial assets showed that the majority were in bank deposits (78.5%), followed by risk management assets (18.0%), and investment assets (2.4%). Third, multivariate analysis results revealed that younger age, higher education level, and better financial factors were associated with a higher probability of having monthly savings. The results for financial assets were largely similar, with females showing a higher likelihood of asset possession compared to males. Fourth, the proportions of both bank savings in total savings and insurance generally had opposing effects. Fifth, age group had the greatest influence on the proportions of safety and insurance assets, followed by income group. Middle-aged households had lower proportions of safety assets but higher proportions of insurance assets compared to young households, while the opposite trend was observed for elderly households. Middle-income households had higher proportions of insurance assets compared to low-income households, whereas high-income households had higher proportions of investment assets. Lastly, cluster analysis categorized single-person households' financial portfolios into five groups: Group 1 (32.2%): "Old-Sustain" characterized by insufficient current income but economically stable retirement. Group 2 (29.4%): "Financially Active" engaging in various financial activities due to relatively high education and employment rates. Group 3 (28.0%): "Financially Inactive" classified as elderly groups with minimal financial activities. Group 4 (9.1%): "Risk Financial Structure" consisting of relatively young individuals focused on risk management assets but facing issues in financial asset management due to high-risk assets and financial loans. Group 5 (1.3%): "Stable-Insurance Oriented" with high financial assets and income concentrated in insurance for both savings and financial assets.

• Journal of the Korean Home Economics Association
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• v.39 no.8
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• pp.121-136
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• 2001

The purpose of this study was to analyze the effects of financial attitudes and financial communication on financial satisfaction. For this study, in 2000, questionnaires developed by the researcher were given to 320 households in Kwangju. resulting in 262 households with usuable data. The data were analyzed by various statistical methods such as frequency, percentile, correlation analysis, t-test, Anova, Multiple Regression analysis. The major findings of this study were as follows; 1) Financial attitudes were significantly different according to age and monthly savings 2) Financial communication was significantly different according to age and financial subjective variables. 3) Financial satisfaction was significantly different according to monthly income, monthly savings, monthly living costs, debt, financial subjective variables and financial communication. The set of socio- economic characteristics variables accounted for 3% of the variance in the financial satisfaction. But the addition of subjective characteristics variables, financial attitude, financial communication resulted in an $R^2$ change of 20, 23, 26%.

• Journal of Families and Better Life
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• v.1 no.2
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• pp.59-73
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• 1983

The purpose of this study is to establish the family economy planning in the side of economic welfare and to discuss its problems. Hypothesis testing and survey analysis whether nuclear family have been formed in the urban communities or not are investigated. Also, survey of family economic period are classified in the following manner. First, as the beginning of family, they are interested in savings, children's education and investment of an estate. Third, as the contracting period of family, they rely upon other's financial supports. Therefore, it is desirable for each family to establish family life cycle planning. As the results of hypothesis testing, 1) Nuclear family have been formed in urban communities. 2) The age of housewives is not concerned with whether their husband's parents live in the same house or not. 3)The age of housewives is not concerned with whether their parents lived with them or not. 4) The relationship between the age of housewives and monthly income is not significant. 5) The relationship between the age of housewives and monthly expenditure is significant. 6)The relationship between the age of housewives and monthly savings is not significant.

• Proceedings of the KIEE Conference
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• summer
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• pp.660-662
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• 2004

Cooling demand in Korea has increased constantly. Furthermore, an evaluation and savings of cooling demand has impacted on summer DSM and investment in Korea. Absorbed cooling system uses gas. It could achieve reductions in summer peak load and increase gas demand simultaneously. However its efficiency rate is lower than electric system. Gas cooling system uses separate meter. Therefore we could analyze monthly cooling demand and derive annual uses pattern. This paper analyzes demand pattern of gas cooling and its effects on electricity savings. Also this paper presents the course of policy in electricity sector on spreading of gas cooling measures.

• Journal of the Korean housing association
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• v.23 no.5
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• pp.31-39
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• 2012

This study has analyzed the effect of the housing affordability improvement of the residents in the metropolitan areas, applying Transit Supportive Home Loan (TSHL) which extends the loan amount according to the transportation cost saving based on Location Efficiency Mortgage (LEM) System in the USA. The previous studies focused on introducing LEM system to Korea, whereas this study has analyzed TSHL effect for the first time, taking into account the situation in Korea. For analysis, The Transportation Savings (TS) is calculated and Housing Affordability Index (HAI) is drawn by applying increased TS and DTI (Debt to Income), so the improvements of housing purchasing ability is examined by HAI's improvement. As a result, transit commute 1 (having own car) and transit commute 2 (without having own cars) respectively produce the TS of monthly average 36 thousand won and 110 thousand won in comparison with car using commute. Each additional loan (TSHL) amounts to 16.57 million won and 54.07 million won. As the distance is farther and the house price cheaper, the improvement of HAI is more outstanding. City hall area showed the highest improvements of HAI by 9.3% (transit commute 1) and 21.9% (transit commute 2) increase, in comparison with car using commute.

• Journal of Families and Better Life
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• v.18 no.1
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• pp.53-66
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• 2000

This study examined the relationships among resources demands financial management behavior and financial satisfaction of housewives based on the systems approach. The data were collected from 212 housewives living in Pusan and Kyungnam region by the self-administered questionnaire. The major findings of this study were as follows: (1) the communication frequency of husbands and wives was an important factor affecting financial satisfaction; (2) the perceived financial status such as comparison to reference groups and aspiration for financial status in the future had an influence on financial satisfaction as well as the objective variables such as monthly living costs and monthly savings; and (3)financial satisfaction was also affected by financial management behavior. These findings imply that the financial management program focusing on the ways to increase communication among family members and to implement financial behavior effectively should be developed.

• Journal of the Korean Home Economics Association
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• v.35 no.2
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• pp.95-110
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• 1997

The purpose of this study were 1) to identity housing fund by the type of housing mobility and 2) to analyze the variable contributing to housing fund by the type of housing mobility. For these purposes, the 1993 KHPSD data was used and the sample in this study consisted of 2,796 couple households. Statistics employed for the analysis were frequencies, means, univariate analysis and multiple regression analysis. As the results, the composition and the amount of housing fund according to the type of housing mobility, were different respectively. Housing fund was consisted of previous housing sales price, savings deposits, loans, inheritance, subsidy, and personal debts. Households who already own houses used housing finance for their housing fund easily while renters were at a disadvantage to use housing finance. Moreover, among the contributing factors, home ownership, number of family member, residence, average monthly income, average monthly expenditure, husband's education attainment, satisfaction with housing, husband's job, and the type fo housing were positively associated with the amounts of housing funds. However, duration fo residence tended to negatively related to the amounts of housing funds.

• Journal of the Korean Home Economics Association
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• v.47 no.1
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• pp.25-43
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• 2009

The purpose of this study was to find how economic structures differ among four different household groups('enough', 'so so', 'a little difficult', 'very difficult') classified by subjective evaluation on their economic conditions. The data were drawn from 2004 Korean Labor and Income Panel Study conducted by Korea Labor Institute, and $X^2$-test and F-test were utilized by SPSS for Windows 10.0. The major findings were as following. First, the economic levels of household groups of 'enough' and 'so so' showed to be higher than the average. This result implies that households tend to evaluate by themselves their economic conditions comparing to the others. Second, the deviations of average economic levels among four different household groups were relatively bigger in household economic elements of liquid asset, monthly savings and insurance than the others, and relatively smaller in household economic elements of total expenditure, especially expenditures in food at home, education, medical, communication than the others. Third, the households of 'a little difficult' and 'very difficult' showed undesirable economic structures resulting from lack of savings and insurance for their future.

• Journal of the Korean Home Economics Association
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• v.30 no.2
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• pp.113-137
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• 1992

The purpose of this study was to figure out the urban establishing families' economic structures(income, expenditure, assets, first-present-future housing cost etc.), the states of first-present housing, the future housing plans, and the housing preferences. For this purpose 274 establishing families in Seoul and its metro-politan area were interviewed through the standardized questionnares. Finally 264 questionnares were analyzed. The major findings were as follows; 1. The important source of their monthly incomes was the labor income. But there was often the transfer income from their parents. And the important items of monthly expenditures were savings and foods. In higher income classes, the traffic cost was important relatively. 2. It was found that the urban establishing families were very dependent on their parents for their first-present housing costs. The dependency was stronger in high education classes compared to the low. This was the case in future housing costs. 3. The states and changes of first-present housing showed the demands for an apartment, homeowership, and privacy. These tendencies were higher in high education classes compared to low education classes, but the demands for future housing were according to the monthly income. The present locations were determined majorly by the distance from office and parents. 4. Their housing preferences were different from the present housing states. Furnished rental housing, open living space, large common spaces, and common using of unusual appliances etc. were more preferred by high education classes compared to low education classes.