• 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.

• Journal of the Korean Home Economics Association
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• v.40 no.7
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• pp.211-227
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• 2002

The issue of children′s education is the most important issue for all households in Korea. It is certain that the issue of private education for children is the first issue among household′s issues. This study is to recognize the current pictures of household primate education of Korean households. Also, whether the expenditure of private education effect the economic will-being of household. The data for this study was"the 3th Korean Labor Panal", conducted by Lobor in Korea. The sample was 1950 households from the panel data. The results of this study was as following: 1. The mean of monthly private education expenditure was 149273won for all households and 217,100won for households with high school students. 2. Almost 70% households had economic burden for private education expenditure. 0% households had no economic burden. 3. The factors of influencing the level of economic burden for private education were mother′s education level, mother′s job, the number of children, living location, monthly income, total asset of household′s. The factors of influencing the amount of monthly private education expenditure positively were living in 4. The economic well-being of household was analyzed by socio-economic variables, household′s financial variables, monthly private education expenditure, the level of economic burden of private education. The economic well-being were sub-categorized 4 divisions; the level of economic problem, the level of satisfaction for household′s income, the level of satisfaction for general living, the level of subject economic condition)

• Journal of the Korean housing association
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• v.23 no.1
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• pp.9-17
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• 2012

The purpose of this study is to understand the factors that influence residents' satisfaction with their housing. Resident's satisfaction is mainly influenced by two factors - one that pertains to housing and the other as per characteristics of the individual. Housing-related factors include housing types, housing tenure types, and size of floor space. Individual-related factors include household income, size, and education level. This study shows how both factors influence residents' satisfaction. Residential satisfaction is affected by the type of housing tenure (own, chonsei and monthly rent) and housing (detached housing, apartment and multi-family housing). Residential satisfaction of home owners is greater than that of chonsei renters or monthly renters. Residential satisfaction of chonsei renters is greater than that of monthly renters. Satisfaction of apartment residents is far greater than that of detached housing residents or multi-family housing residents. There is no difference in residential satisfaction between detached housing and multi-family housing residents. As total household labor income, household member, and residential area increase, residential satisfaction increase. Residential satisfaction of countryside residents is greater than that of metropolitan residents.

• The Research Journal of the Costume Culture
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• v.31 no.5
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• pp.669-691
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• 2023

This study aims to analyze the variations in online clothing purchasing patterns based on demographic attributes and purchasing behavior. The survey subjects comprised individuals in their 10s to 50s who had prior experience with online shopping. The survey was conducted in Gyungnam from May to June 2022. A total of 397 questionnaires were analyzed using the χ²-test statistical method. The analysis of clothing purchase type based on demographic characteristics revealed differences in terms of gender, marital status, age, monthly income, and occupation. Notably, when analyzed by demographic characteristics and clothing purchase types, monthly online purchase frequency displayed significant differences in marital status, age, and occupation. Similarly, monthly purchase amounts through online platforms exhibited significant variations based on marital status, age, monthly income, and occupation. The online fashion platforms, when examined in relation to demographic characteristics and purchase types, showed significant differences across all variables. Clothing purchases by consumers seeking individuality and differentiation exhibited significant differences in age, occupation, and purchase types. Furthermore, the reasons for choosing online platforms for clothing purchases varied significantly based on age and occupation. These findings indicate diverse purchasing behaviors on online platforms influenced by demographic characteristics. These findings can be valuable for effectively segmenting the online fashion market.

• Journal of the Korean Society of Fashion and Beauty
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• v.4 no.1 s.7
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• pp.42-50
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• 2006

This study used the questionnaire method to find out the golf factor comparison and purchase inclination according the golfers' demographic characteristics. The golf factor comparison according to the Gyeongnam golfers' demographic characteristics was performed with cross analysis and $X^2$ verification, the purchase inclination with T verification and analysis of variance. And the Golfs' factor relation according to total income was performed with cross analysis and $x^2-test$. The golfers' demographic characteristics showed a significant difference in gender, educational background and occupations. The participation purposes of playing golf for men were as a hobby, relations and business. And the participation purposes of playing golf for women were as a hobby and health. The higher age was, the more the golf career was for both men and women. In the factor of marital status, unmarried people play for a hobby and married people play for better relations and business. In the factor of gross income, male golfers varied in the gold career and monthly playing times. Female golfers varied in the golf career. Regardless of gender, the higher the income was, the more the golf career was. In the comparison of buy behavior according to the golfers' demographic characteristics, male golfers showed a significant difference in ostentation and fashion according to the monthly purchase of golf-wear. The group that spends more on the monthly purchase of golf wear was higher than the group that spends less on the monthly purchase of golf wear. Unmarried golfers showed more ostentation tendency that married golfers.

• 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 Fashion Business
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• v.25 no.3
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• pp.17-35
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• 2021

The purpose of this study was to analyze the different consumption patterns of fashion products according to the demographic characteristics and religious variables of Muslim women in Indonesia. The research method consisted of a questionnaire, which surveyed Muslim women in Indonesia, whose ages ranged from teens to 40s. The final questionnaire made use of 301 responses, and the analysis methods included 𝛘²-testing, factor analysis, and ANOVA. The results of this survey are as follows: For differences in average monthly clothing purchase costs, there were significant differences according to age, monthly income, final education, and whether or not the respondent wore a hijab, but there was also significant difference according to marital status and religious faithfulness. Muslim women's clothing purchasing factors were practicality, visibility, fit-to-wear, and design. In terms of the differences in factors which were considered when purchasing clothing, they depended on whether or not the respondent was married, practicality and visibility according to age, visibility according to final education, and religious faithfulness. There were significant differences in practicality and visibility, but not according to monthly income. When accounting for the differences in the places where Muslim women bought fashion products, there were significant differences according to marital status and age. In terms of the differences in reasons for choosing a place of purchase, there were significant differences according to age, monthly income, final education, and the degree of hijab wearing.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.410-422
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• 2017

The purpose of this study was to investigate the correlation between knowledge related to disease(KRD), illness attitude, and quality of life(QOL) in relation to the Chronic Obstructive Pulmonary Disease(COPD). According to the study result, there were significant differences with regard to KRD in accordance with subjects' education, monthly income, mMRC(modified Medical Research Council) Dyspnea Scale, inhaled bronchodilator and antibiotic treatment. In addition, there were significant differences with respect to illness attitude according to monthly income and mMRC. In case of the QOL, there were significant differences in accordance with age, marital status, monthly income, inpatient status, history of hospital admission, oxygen use, comorbidity, mMRC, and inhaled steroid. It has shown that there was a significant correlation between KRD and QOL(r=-.438, p<.001), illness attitude and QOL(r=.279, p=.001). Thus, it is important to grasp monthly income and mMRC, which are correlated with the three elements in common. As per assessment about COPD patients in the clinical situation, it is necessary to develop a multi-disciplinary approach, health coaching program for improving KRD and having a positive attitude based on the low-income group with taking interest in the circumstances of mMRC as well as objective test results.

• Journal of Families and Better Life
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• v.20 no.5
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• pp.87-98
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• 2002

The purpose of this study is to investigate the effects of wife's employment status on the household expenditures of timesaving market substitutes for houseworks. Seven expenditure categories were considered such as food away from home, convenient/prepared food, housing care service, clothing care service, childcare, supplemental education, and domestic services. The data were taken from 1999 Family Expenditure Survey by National Statistical Office. The sample consisted of 29,963 households with 33.2% dual-income households. The average monthly expenditure for food away from home was 127,795 won for dual-income households, while 103.100 won for single-income households. The expenditure for childcare of dual-income households was over six times of single-income households'. Dual-income households spent over ten times of single-income households for domestic services. For most expenditure categories, households with wife working at white-color jobs spent more than other dual-income households. After being other household characteristics to be constant, wife's occupation had found to be related with the household expenditures for most market substitutes. For the expenditures on both food away from home and childcare, employed-wife households with any kind of jobs were found to have higher possibility to spend and to be spent more than non-employed-wife households. The households with wife employed at white-color jobs spent more on clothing care service and domestic services than the households with the not working. Employed-wife households had higher possibility to spend on supplemental education, but they did not spend more on the expenditure, compared to nonemployed-wife households.

• Journal of Consumption Culture
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• v.15 no.2
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• pp.213-247
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• 2012

The purpose of this study was to analyze the economic structures of low-income households, and to provide the policy suggestions for their economic well-being. The data for this study was from the 2009 year of the Korea Welfare Panel Survey (KOWEPS). The results are as follows: As for income structure, the low-income households had lower amounts in earned income, business and side-work income, and property income, but a higher amount in transfer income. They had a lower amount in private transfer income, but a higher amount in public transfer income. They had the highest rate of transfer income, showing that the rate of public transfer income was higher than that of private transfer income, and the government assistance was the highest rate in public transfer income. The households in extreme poverty had the lowest amounts in earned income, financial income, private transfer income, but the highest amount in public transfer income. The households in poverty had the lowest amount in transfer income. The households in extreme poverty, poverty and near poverty showed the highest rate in transfer income. As for asset structure, the low-income households had a lower amount in every type of assets. They showed the highest rate in total debt, and had a higher rate in housing asset, but lower rates in real-estate asset, financial asset and other asset. The households in extreme poverty had a lower amount in every type of assets than the households in near poverty. Three types of the low-income households showed the highest rate in housing asset, but the households in extreme poverty was the highest among them. As for expenditure structure, the low-income households had lower amounts in all of the expenditure items. They showed the highest rate in food expenditure, the second highest in other consumption expenditure. The households in extreme poverty showed lower amounts in almost all of the expenditure items than the households in near poverty, but the households in extreme poverty showed a higher amount in monthly rent than the households in neat poverty. Three types of the low-income households showed the highest rate in food expenditure. The expenditure rates of food, monthly rent and light·heat·water for households in extreme poverty were higher than those for the households in near poverty.