• Journal of Families and Better Life
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• v.7 no.2
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• pp.61-70
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• 1989

The present study investigated characteristics of Korean hourehelds in the expanding stage of the family life cycle depending on decision-making of current and planned credit card use. Households which were selected for this study had at least one dependent child enrolled in primary, middle, or high school, 1998. Regarding current and planned credit card use, credit card holder (n=379) and non-holder (n=259) households and continuous (n=331) and discontinous (n=47) credit card holder households were compared. Comparisons were perfomed by t-test, one-way ANOVA, and X2-test. Related factors were households demographic characteristics, financial management behavior, perceived financial well-being, and attitudes toward credit cards. Findings indicated that holder households tended to be younger, better educated, white-collar workers, and of a higher economic status than non-holders. In comparison to non-holder households, credit card holder households had more favorable atti udes toward credit cards, reported more financial management practices, experienced less financial unbalance, and were more satisfied with their household finaces. Compared to discontinuous credit card holder households, continuous card holder households tended to be larger, have better educated wives and husbands, and have husbands who were white-collar workers. They were more likely to have higher average monthly income than discontinuous holder households. Continuous card holder households also had more favorable attitudes toward credit cards, and more strongly believed and expected financial improvement of their households, compared to discontinuous card holder households.

• Journal of Urban Science
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• v.10 no.1
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• pp.21-28
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• 2021

The purpose of this study is to examine the factors affecting the housing satisfaction of elderly households in comparison with non-elderly households, and to present policy implications in terms of housing welfare policies. For this purpose, this study used ordered logit model analysis using '2019 Housing survey data'. As a result of the analysis, in the case of individual/housing characteristics, the analysis results of the non-elderly household model and the elderly household model were similar. However, in the case of regional characteristics, non-elderly households living in the metropolitan area showed higher housing satisfaction than non-elderly households living in the non-metropolitan area, whereas the elderly households living in the metropolitan area had lower housing satisfaction than the elderly households living in the non-metropolitan area. In addition, the satisfaction variable of neighborhood/environmental characteristics that had the greatest impact on the housing satisfaction of non-elderly households was found to be crime prevention status satisfaction, and the satisfaction variable of neighborhood/environmental characteristics that had the greatest impact on the housing satisfaction of elderly households was air pollution satisfaction. The results of the analysis can be used as various reference materials when establishing housing welfare policies for elderly households.

• Korean Journal of Community Nutrition
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• v.21 no.4
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• pp.321-331
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• 2016

Objectives: The purpose of this study was to examine the economic characteristics of single-person households and explain the effects of them on the food service industry. Methods: For this paper, I analysed the data related with single-person households and the food service industry in two surveys, Household Income and Expenditure Survey and Wholesale and Retail Trade Survey published by Statistics Korea from 2006 to 2015, with an empirical test performed utilizing these data. The indicators of the age of householders, disposable income per capita, and the rate of household of worker were compared between single and multi-person households. Furthermore, sales and the number of establishments in the food service industry were used as industry-variables, and disposable income, eating-out expenses and the rate of single-person households as the household-variables were used in a panel analysis. Results: The results showed that household incomes were lower, age of householder was higher, and the percentage of household of worker was lower in single-person households in contrast to multi-person households. According to the empirical analysis, eating-out expenses of single-person households, in comparison to multi-person households, has significantly positive effects on the growth of the food service industry. This means that the recent trend of increasing numbers of single-person households may help the growth of the food service industry. Conclusions: The growth in the rate of single-person households has been one of the most striking demographic shifts in recent decades. Their economic characteristics and the effects were analyzed to give the managers in the food service industry and the policy-makers useful information in dealing with this new trend. Moreover, in considering the fact that single-person households eat out more frequently than multi-person households, the food service business should develop the managerial strategies focused on acclimatizing to single-person households.

• Journal of Families and Better Life
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• v.29 no.3
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• pp.71-83
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• 2011

The purpose of this study was to find out the nationwide general characteristics and housing environments of agricultural households and the differences of them by Eup-Myun Areas. The data were subsample of the 2008 survey on the rural living indicators collected by the rural development administration. Only agricultural households, 73.7% of the original nationwide data (1,461 households out of 1,983) sampled by multi-stage stratified clustering methods and face to face interview in Aug. 2008, were selected and the cross-tabulation(X2) was mainly used to find the difference by Eup Myun areas through spss 12.0 for window. The results showed that the general characteristics of agricultural households such as head of household, family, and economic characteristics were mainly differed by Eup Myun Areas. Agricultural households in Eup area were more likely low in the general characteristics than were those in Myun area. Housing environments were less likely than the general characteristics differed by Eup Myun areas. Improvements of drinking water system, housing alteration, oder, and garbage system were needed to increase the satisfaction with residential environments of agricultural households. This study suggests the use of annual survey on the rural living indicators data would be applicable to various research subjects of home economics.

• Journal of Family Resource Management and Policy Review
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• v.14 no.1
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• pp.135-159
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• 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.

• Journal of the Korean housing association
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• v.21 no.2
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• pp.123-132
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• 2010

The housing market requires customized housing to be supplied according to the various characteristics of households. Multinominal Logistic Regression was used to analyze the effects of variables of household characteristics according to the number of family members on the choice of housing size in the scope of the whole country's housing market. Analysis showed that the number of family members has its own characteristics. When a household has a smaller number of family members, there are more variables affecting choice of housing size. Living and housing expenses variables served as significant variables that affect all household types. Results showed that households with more living and housing expenses are more likely to choose a large sized house and where households have a greater number of family members, there is more influence on that choice. The age of the householder was only found to be a meaningful variable in 1-2 person households and 3-4 person households, particularly in the choice of a small or large sized house. This shows that the age of the householder does not play an important role in choosing medium sized houses for households of under 4 people, but affects the choice of small and large sized houses. The academic ability of household members also served as a significant variable. While 1-2 person households with high academic ability tend to select a large sized house, 3-4 person households with high academic ability tend to select a small sized house. It is observed that members of both 1-2 person households and 3-4 person households tend to select their house between a large sized house and a small sized house in order to own their own houses. The result of this research suggests that there are various and detailed variables on the choice of housing size. Especially, a notable result is that household characteristics more significantly affect the housing size choice of 1-2 person households, while the trend of an aging society will more significantly affect a 3-4 person households' choice of a large sized house. Therefore, a study on the choice of housing size according to characteristics of elderly households and 1-2 person households should be continually analyzed.

• Journal of the Korean housing association
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• v.10 no.1
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• pp.97-109
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• 1999

The purpose of this study is to examine the changes of housing characteristics between dwellings occupied by two and more households and one household occupying dwellings over 10 years using the Population and Housing Censuses in 1985, 1990, and 1995. One dwelling for each household, referred to the ratio of the number of dwellings to the number of households, has been one of the most important housing goals in Korea. The results indicated that the ratio of dwellings occupied by one household as well as that of households occupying one dwelling by oneself have been increased since 1985. However, the number of dwellings occupied by two and more households have been decreased but the number of households who share one dwelling with other households have never been decreased. One dwelling for each household has been mainly increased by the multifamily attached dwellers in urban residences. Single-family dettached dwellings in the urban area are the most often shared with other households. Housing policymakers should consider not only the rapidly increasing single households but also renters shared one dwelling with others mostly homeowners of single-family dettached dwellings.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.679-692
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• 2008

The goal of this study is to analyze one-child households' financial structure. The data from 1022 more than two children households and 236 one-child households were taken from the Korean Labor and Income Panel Study(2004). This study compared demographic, socioeconomic and marital characteristics between one-child households and more than two children households. A chi-square test, t-test and multiple regression analysis were used. The major findings were as follows: One-child households were different from more than two children households in demographic socioeconomic characteristics and financial structure. In one-child households, the variable that significantly influenced on consumption expenditures was monthly income and the variables that significantly influenced on private education expenditures were householder's age, home-ownership, monthly income.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.515-528
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• 2015

The purpose of this paper is to analyze the residential location preference factors by households' characteristics in the case of Seoul metropolitan area households. The main results of this study are as follows. Firstly, residential location factors most preferred by Seoul metropolitan area households are accessibility of public transportation, followed by security and living environment. Therefore, we can see Seoul metropolitan area households prefer amenity and quality of life as residential location factors. Secondly, according to the results of AHP by age and household income, the residential location factors Seoul metropolitan area households prefer are different by age and household income. Thirdly, according to the results of comparative analysis between the case of Seoul metropolitan area and Daegu Gyeongbuk households, Seoul metropolitan area households more prefer safety and quality of life, on the other hand, Daegu Gyeongbuk households more prefer investment value of housing.

• 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.