Journal of Family Resource Management and Policy Review
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v.11
no.3
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pp.45-65
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2007
The purpose of this study was to analyze the life satisfaction of a single household head. This study examined the life satisfaction level of the single household head and analyzed the contributing factors. Data for this study were from the 7th KLIPS (7th Korea Labor and Income Panel Study), and the sample. consisted of 241 single household heads (including 83 male household single heads and 158 female single household heads). The statistics used for the analysis were frequencies, percentile, means, standardization, ANOVA, and multiple regression. The results were as follows. First, 53% of the household heads were due to their spouses' death, 34% of the household heads were single due to divorce, and 13% were single for other reasons. The average age of a single household head was 51 years, and the average education level of a single household head was 9.7 years and 70% of the single household heads were employed. Approximately 46% of the single household heads lived in small-and medium-sized cities. Second, the level of satisfaction with income, leisure, and residence of the single household head was lower than the middle level (3.0 points), while the level of satisfaction with family relationships, relatives, and social relationships was higher than the middle level (3.0 points). Third, there were differences in the life satisfaction level of single household heads in accordance with the single household head's marriage status, residence, recognition of health status, and current financial situation. Finally, significant variables contributing to the life satisfaction level of the single household head were gender, educational level, residence, monthly total income, satisfaction level of leisure, and family relationships. The most influential variable was the residence.
Journal of Family Resource Management and Policy Review
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v.22
no.1
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pp.99-118
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2018
This study examines household expenditure patterns for single-parent families to better understand the decision-making process and to consider the appropriateness of the decisions on monetary allocation. This study investigates the household expenditure patterns and the determinants of expenditure patterns for single-father families as compared to those for single-mother families. A series of analyses of the data, which was gathered from the 2015 Single-parent Family Survey on household expenditures, were conducted. The results show that there are differences in the household expenditure volumes and patterns between single-father families and single-mother families. Differences in the categories of expenditure and variations in the share that was allocated for each expenditure category in single-father families as compared to in single-mother families were both statistically significant. Disparities were found in seven categories of household expenditure between single-father families and single-mother families. The amount allocated from total expenditures for each expenditure category was also significantly different between single-father families and single-mother families in regards to clothing, home equipment, housing, water/light/heat costs, transportation, and telecommunication. The determinants of the total household expenditure for single-parent families were age, level of education, number of family members, public transfer, household income, assets, and debt.
The purpose of the study was to investigate the wife and husband role division in household financial management between dual-income household and single-income household. Household financial management included the following five categories: financial planning, consumption/expenditure management, savings/investment management, risk management and credit management. Data for this research was collected through 610 married women living in Seoul, Korea. Using SAS-PC program, Chi-square and t-test Analyses were executed. The results showed that dual- and single-income households tend to have different perspectives on marital role division in household management. Wives of dual-income households had more significant roles in financial management rather than wives of single income households. Especially, wives of dual-income managed more active credit management and saving/investment management. On the other hand, wives of single-income households played a major role in making decision over cheap items than that of wives of dual-income household.
KSCE Journal of Civil and Environmental Engineering Research
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v.33
no.6
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pp.2503-2508
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2013
Single-person households in the Seoul Metropolitan Area have increased sharply during recent 20-30 years. Despite of decreasing in the total population, the number of single-person household is predicted to increase continuously. However, the effect of single-person household growth on the domestic transport sector has not been studied concretely. In this study, the differences on trip generation characteristics by household size and attributes were figured out by analyzing Seoul Metropolitan Area Household Travel Behavior Survey (SMA-HTBS). Firstly, trip generation rates (trips/day/person) were produced by household attribute, household member attribute and trip attribute based on SMA-HTBS. Secondly, trip generation rate of single-person household and that of multi-person (2 or more) household were compared by significance test. It was found that trips generation characteristics of single-person household is quite different from those of multi-person household by housing type, residential type, living area, and transport mode. The result of this paper is expected to contribute developing more sophisticated trip generation model and transport policy reflecting trip generation characteristics of single-person household.
The purpose of this study was to explore housing cost burden of young single- or two-person households in the United States who have recently moved for job-related reasons. Total 580 households were selected from 2009 American Housing Survey public-use microdata for data analysis. The findings are as follows: (1) Targeted single-person households were characterized as younger households with higher educational attainment, lower household income, and greater proportion of renters, multifamily housing residents and households with housing cost burden than other households; (2) two-person households showed a higher income level and lower housing cost burden; (3) characteristics that showed significant influences on housing cost burden were household size, householder's age, gender, race and educational attainment, household income level and tenure type; and (4) a linear combination of household size, household income, whether or not a low-income household, residency in metropolitan area, and home structural type were found to be most efficient to predict a single- or two-person household's housing cost burden regardless of the household size.
This study outlines the housing consciousness and needs of single woman household. In order to analyze housing consciousness of single woman household, surveys were conducted with the questionnaire composed of housing consciousness, housing needs, socio-demographic and housing characteristics of single woman household who lived in Seoul, and other near metropolitan area such as Gyeonggi and Incheon. The result of the study shows that single woman household put importance on safety, privacy, and comfort of their indoor housing environment. For single woman households convenience in transportation and facilities for leisure time were one of the important conscious factors. Housing consciousness of single woman household can be categorized into mainly three groups: (i) indifferent to overall housing consciousness except for convenient services such as front desk service at the lobby and maid house keeping services; (ii) privacy conscious group - this was the majority; (iii) relatively active housing consciousness group. Each type had different preference factors when selecting a house. That is, each showed difference preferences when considering types, sizes and services as well as motives for choosing a house.
According to Korea Social Trends 2012 report presented in National Statistical Office, based on 2010, single-person household out of all households in Korea ratio is 23.9%, not only this ratio is beyond a family of four's ratio (22.5%) but also overtake couple-person household. Last year, according to financial industry and National Statistical Office, Korea's single-person household is estimated 4 million Five hundred and thirty thousand nine thousand family (25.3%). this mean is Korea's One of four household furniture is single-person household. Furthermore. According to National Statistical Office's report 'Future household projections 2010~2035 Report', In 2035, Korea's single-person household is assumed to increase by 34.3%. Korea's causes an increase of single-person household causes an increase is reduced marriage, increase in divorce, low fertility, increasing older singles etc. also Around the World as well as Korea single person household is increase. Based on 2011, single-person household is reached at 2 hundred million 42 million furniture (This ratio is 13%), China and U.S.A's single-person household ratio close in upon 30%. Sweden and Norway, the Philippines, Denmark is also approximately 40% of all households. Up to now, Not reached at OECD average, but this is increasing at a very fast pace. and then It will overtake this ratio. so government, regarding single-person household upsurge, try to find definitive solution. Appeared to statistics through the data, this find out the single-person household characteristics. Using association rule, the association between consumption trend and single-person.
The purpose of this study is to understand how the economic conditions and needs of single-parent families are different between single-mother and single-father families, and also how they are dependent on household composition. The data for this study were drawn from the 1st Korea Welfare Panel Study and analyzed by frequencies, means, ${\chi}^2$, t-test, F-test, and logistic regression with the STATA 9.1 program. The major findings are as follows: (1) Single-parent families are more likely to live in a three-generation household than married couple families. (2) The composition of a three-generation household of single-parent families is affected by sex, age, education, type of marital disruption, the type of employment of single parents and the age of the last-born child. (3) The income-to-needs ratio is not significantly different depending on the sex of the single parents and their household composition. However, material hardship is significantly low in three-generation household single-parent families. (4) There are differences between three-generation single-parent families and independent single-parent families in income sources: The ratio of public transfer to total incomes is higher in three-generation households than independent households, while the ratio of private transfer to total incomes is higher in independent households.
The rise of single living has been one of the most important demographic shifts of recent decades. The solo household is a little less than 40% in Europe areas and that of Tokyo is over 45%. Being impacted this figure, the formation of single economy is the key word in World Economic Forum(WEF) 2008. Seoul' single household is increasing rapidly. Between 2000 and 2005, the growth of single person is around 34%, the population of single person reached 700,000 people. Now 20% of total household in Seoul is Single household. Living alone or solo living is not exceptional or special in Seoul Metropolitan City. The rise in single living will create pressures towards poverty and inequality and so on. Seoul should develop and prepare the urban policy for single household. We figured out the four key trends which composed of single household in Seoul. Four types of single person are like below : Gold Mr and Miss, Reserved labor forces, depressed single and silver generation. Gold group is amonst people aged 30 and 40 who is working in the area of white collar and professional. They are usually elective single person household who have chosen solo living. Reserved labor forces group is usually among 20s people who have not get the regular hob. For this group, job acquiring is the most important issue. Depressed single person household group is among people aged late 30s and 40s. Its group is the result from the broken family. The silver group is among aged over 65 that is the main issue of the aged society. In this research, we stressed that people living alone can be split into two types - elective single person households who have chosen single living, and forced single person household who have been constrained to this lifestyle by circumstances. Except gold group, the rest of the group is the forced single household who are faced to poverty. The monthly income of single person household is almost under 2 million won. Single person household is usually working in the blue collar job and service area. So, except gold group that is the smallest part of single person household, almost single person is not the target of private market, but the object of public policy.
This study aimed to identify and compare variables affecting life satisfaction of older women by focusing on household types and poverty levels. The study used data from the Korea Longitudinal Study of Aging administered by the Korea Labor Institute in 2006. The data for 1,017 older women ages over 65 including 427 single households and 590 couple households was analyzed. First, interaction effects of household types and poverty levels on life satisfaction were statistically significant. For the non-poverty households of older women, there was no explicit difference between single households and couple households in life satisfaction, but for the poverty households, single households were lower in life satisfaction than couple households. Second, as a result of reviewing four groups of older women (poverty-single household, poverty-couple household, non-poverty-single household, and non-poverty-couple household), besides religion, it was found that there were significant differences in age, education level, number of children, health level, residence area, and status of economic activity. Third, when analyzing variables affecting life satisfaction, common predictors for the four groups were health level and ownership of house. Older women who perceived to be healthier and owned their own homes were higher in life satisfaction. For poverty-single households, older women with over middle school graduation were also higher in life satisfaction, but for poverty-couple households, older women with over middle school graduation and more children were higher.
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