• Journal of the Korean Home Economics Association
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• v.37 no.2
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• pp.127-144
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• 1999

The purposes of this study were to identify the housing maintenance cost, imputed rent fee and total housing cost of households living in rental house, to analyze the factors related to their housing maintenance cost, imputed rent fee and total housing cost and to investigate the factors contributing to total housing cost to total household income ratio. The data used for these purposes, was 97 KHPS of Daewoo Economic Research Institute. Sample size of households living in rental house, was 663. Statistics performed for the analysis were frequencies, percentiles, t-test, Lorenz cutie and Gini coefficient, Tobit analysis, OLS and Logistic analysis. The results of this study were as fellows: First, monthly cost of monthly rent & maintenance and repairs of households living in rental house with a deposit was lower than rental house, while the imputed rent fee of households living rental house with a deposit was higher than monthly rent households'And, total housing cost of households living in rental house with a deposit was higher than monthly rent households'. Second, Gini coefficient of the housing maintenance cost was 0.440, Gini coefficient of imputed rent fee was 0.362, and Gini coefficient of total housing cost was 0.291. Third, the variables related to their housing maintenance cost were family type, total household expenditure of socio-demographic characteristics and residence, type of rent, housing type of housing environmental factor. Also, the variables contributing to imputed rent fee were job type and educational attainment of household hearts, the number of family members, total household expenditure, residence, type of rent, housing type and tole number of rooms. In addition, the variables associated with total housing cost were job type and educational attainment of household head, total household income and residence, type of rent, housing type and the number of room. Finally, age, job type, educational attainment of household head, wife's employment status, the number of family members, family type, total household expenditure, residence, rent type of rent, housing type, the size of living space, and the number of room were significant variables contributing to total household cost to total household income ratio.

• Journal of Families and Better Life
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• v.26 no.2
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• pp.83-101
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• 2008

This research performs a multi comparison between the age of old households and the economic structure according to accommodation type as well as analyzing the economical structural difference of each type based on the features of aged households. The paper classified aged households into 3 groups according to age distribution. The economic structure analysis according to the age of old households and accommodation type was shown as follow: First, the economical structural analysis based on the age of old households showed a statistical difference in the total, labor, business, property and transfer income variables according to the age of each sample group. However, the non-business income and liabilities did not show a significant difference. Second, in the analysis of different economic earnings and initial expenses of middle-aged households according to the age distribution group showed a disparity in the total, labor, business, property, and transfer income variables according to the age of each sample group. However, aged households showed a statistical difference in total, labor, business and transfer income variables. Third, in the analysis of difference in the expense provision and size of consumption, there was a statistical difference in the expense variables of total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture, entertainment, transportation, and communication. Fourth, in the analysis of difference in the size of consumption expense, the initial and middle-aged households showed a statistical difference in the total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture, entertainment, transportation, communication, and consumption expense variables. However, the analysis of aged households has shown a statistical difference in the total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture, entertainment, transportation, and communication expense variables. The study found a statistical difference in the expense for hygienics that did not appear in the initial and middle-aged households.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.1015-1031
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• 2022

The objectives of this study were to classify the types of elderly households and to compare the characteristics of their dietary lifestyle. Panel data surveyed by Korea Rural Economic Institute (KREI) for Food Purchase Attitudes over three years (2019 - 2021) were utilized for the analysis. Through a factor analysis, five common factors were extracted out of 19 basic variables related to dietary style, which indicate two kinds of consumer competency index (safe diet, traditional diet) and three kinds of purchase frequency (healthy food, meat & fish, fresh seafood). Applying the cluster analysis method, by using socioeconomic variables along the five common factors, elderly households aged 60 or older were grouped into four types. As a result, Type 1 elderly households accounted for 50.8%, Type 2 for 16.2%, Type 3 for 27.8%, and Type 4 for 5.2% out of all 870 elderly households. Type 1 is characterized as a low-income vulnerable class with a poor diet, Type 2 as a middle-income class with a healthy food-oriented diet, whereas Type 3 was classified as a middle-income class with a meat-oriented diet, and Type 4 as a high-income class with diverse dietary culture. It is necessary to expand the agri-food voucher pilot project to the entire country and also increase the monthly subsidy for the Type 1 elderly households. Implementing community kitchen projects for elderly single-person households, promoting senior internships by providing incentives to companies that employ retirees, the provision of education by local governments on a safe and balanced diet for Types 2 and 3, and the promotion of an elderly-friendly social environment are also recommended.

• Korean Institute of Interior Design Journal
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• v.16 no.1 s.60
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• pp.73-82
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• 2007

With the change of family type and diversify of life style, residents need various unit plan in quality. A rate of economically productive women has increased, and generally double-income households will continuously increase in the future. So a research is requested to consider the double-income households's satisfaction for a unit plan based on their life characteristics. The purpose of this study is to find out double-income households's lifestyles, and to search and analyze users' needs for spatial composition according to their lifestyles, and then, embody spatial composition of Apartment Unit plans. The findings are as follows. (1) Housing lifestyles of users living in apartment arc categorized into 5 types: pursuing the trend and personality, pursuing the convenience and leisure, pursuing being domestic, making a livelihood and practicality, the type of unspecification. (2) The type of pursing the trend and individuality requests new plan and a shower bath, the type of pursing the convenience and leisure requests facility with home appliances and likes traveling and sports, the type of making a hearth and home wants a talk with their family and discuss some problem, the type of making a livelihood and practicality requests storage space, the type of unspecification wants a comfortable master bedroom zone. Consequently factors of residental space plan are need for double-income households.

• Journal of Families and Better Life
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• v.26 no.5
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• pp.1-14
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• 2008

The purpose of this study was to examine factors contributing to financial resources interchange type and amount of the middle aged and the elderly household. For this study, the 6th KLIPS data was used, and sample size was 1,679 households including those with head of household being over the age of 50. Statistical analysis was conducted to examine frequency, percentile, mean and standard deviation, Pearson's correlation, Anova, Duncan's multiple range test and Heckman analysis First, Interchange amount of Benefits type household was significantly different according to the householder's gender, existence or nonexistence of a spouse, age, educational background, home ownership, family type and place of residence. However, interchange amount of provide- type households were significantly different according tohouseholder's gender, existence or nonexistence of a spouse, educational background, whether retired or not, and home ownership. Second, The receptive type of households and net receptive expense of households in terms of the financial resources interchanges and the findings of Heckman analyses suggest that the variables to have a significant effect on the receptive types of financial interchanges were as gender, age, education level, retired or not, and current economics. Factors having an effects on net receptive expense were age, and family type and for the number of receptive of financial resources, whether there is the receptive of financial resources, total income, total asset. Third, The supplying type of households and net supplying expense of households in terms of the financial resources interchanges, whether or not the type of financially supplying households is significant were residential area, total income, house ownership. Factor having an effect net supplying expense were age, family type, whether there is the supplying of financial resources, family satisfaction, and house ownership.

• Journal of Family Resource Management and Policy Review
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• v.18 no.4
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• pp.27-52
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• 2014

This study aims to investigate the financial soundness of Korean households and its effects on the retirement preparation of these households. The sample consisted of 1,031 households selected from the 4th Korean Retirement and Income Study (KReIS) by the National Pension Research Institute in 2012. The empirical results are as follows. According to the logistic regression model, the statistically significant factors affecting the retirement preparation of Korean households are gender, occupation type, residence, satisfaction with economic condition, and type of financial soundness-sound households or insolvency-risky households. In other words, more female-headed households and households with higher levels of occupation are less likely to prepare for retirement. The households that are more likely to prepare for retirement are those that are lived in metropolitan areas as opposed to the countryside; further, households that are more economically sound are also more likely to prepare for retirement. In particular, sound households and insolvency-risky households are less likely to prepare for retirement compared to liquidity-risky households.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.1082-1096
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• 2015

The purpose of this study was to examine laundry behavior according to the number of households and the type of washing machine that each household used. The data was obtained from questionnaires filled out by 417 households, which included college students living in Seoul and Gyeonggi province. The results of this study are as follows: first, according to the results of survey about the number of household members and type of washing machine that household had, one or two-person households accounted for 24.0%. Regarding the type of washing machine that each household used, there were more drum washers. In households comprised of three or more persons, a higher percentage had a machine with a pulsator. Second, with regard to the method of classifying the wash in doing the laundry, all families classified the wash according to color and textile material. Third, with regard to the amount of detergent in doing the laundry, 63.5% of households used the recommended amount of detergent while 28.3% of households used more detergent than the recommended amount. Fourth, with regard to the set temperature of water in doing the laundry, 36.2% of households used cold water; this was the highest percentage. Fifth, with regard to input sequence in doing the laundry, most households put the wash in the machine in advance, and then filled the washer with water; 56.1% of households added a rinsing process for all washing processes.

• International Journal of Human Ecology
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• v.9 no.1
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• pp.53-62
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• 2008

This paper examines the changes in housing characteristics occupied by two or more households from 1995-2005, as a replicated follow-up study done by the previous decade of 1985-1995. The data analyzed were based on the Population and Housing Census in 1995, 2000, and 2005 by the Korean National Statistical Office. Results showed decreasing trends in the percentages of housing units occupied by multi-households and of households sharing a housing unit, while the average number of households for a shared housing unit was increasing. Detached dwellings in dongs (neighborhood) including ordinarily single-family detached ones, mainly multi-family houses, were the most often shared with other households even in the trend of the decreasing number of the detached housing. Further research is suggested to focus on housing circumstances of households sharing a detached dwelling in Dongs by the type of detached dwellings.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.92-96
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• 2006

With the change of family type and diversify of life style, residents need various unit plan in Quality. A rate of economically productive women has increased, and generally double-income households will continuously increase in the future. So a research is requested to consider the double-income households's satisfaction for a unit plan based on their life characteristics. The purpose of this study is to find out double-income households's lifestyles, and to search and analyze users' needs for spatial composition according to their lifestyles, and then, embody spatial composition of Apartment Unit plans. The findings are as follows. (1) Housing lifestyles of users living in apartment are categorized into 5 types: seeking the way to make housework easy and comfortable, making the best use spatial composition, pursing the universalism, housework oriented, pursing the leisure. (2) The type of seeking the way to make housework easy and comfortable requests facility with home appliances and a shower bath, the type of making the best use spatial composition requests storage space and trial about new plan, the type of pursing the universalism is concerned about the protection of environment and a memorial service, the type of housework oriented wants a talk with their family and discuss some problem, and the type of pursing the leisure requests division of household with their family and likes traveling and sports.

• Journal of the Korean Home Economics Association
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• v.42 no.11
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• pp.205-222
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• 2004

The purposes of this study were to examine urban household's monthly expenses for public pension and to analyze the contributing factors. Data for this study were from the 2002 Urban Household Survey and consisted of a sample of 21,093 urban households. Statistics used for the analysis were frequencies, means, ANOVA and multiple regression analysis. The major findings were as follows ; First, the average urban household monthly payment for the public pension was 104,036 won, consisting of 102,757 won for single earner households and 106,014 won for dual earner households. Second, the highest expenses for monthly public pension was urban households, followed by male household head(HH), HH's age from 41-50 years, HH's educational level was college, HH's job was public servant, family didn't live in Seoul, family w3s an extended family and family owned the house. Third, the significant factors affecting the urban household's monthly public pension were HH's gender, age, educational level, type of job, region, type of family, number of children, type of earner, monthly total income, increase of asset in a month and house ownership.