• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.66 no.7
• /
• pp.1025-1031
• /
• 2017

This study compares the characteristics and the determinants of household electricity consumption for low electricity consuming and high electricity consuming households. The data are drawn from a household energy consumption sample survey by Korea Energy Economics Institute in 2015. The results show the differences in socio-demographic, dwelling, and electricity consumption characteristics between two households. Next, the factors affecting the household's electricity consumption are investigated. Common factor affecting the electricity consumption function is only the number of electrical appliances. There are also the differences in major determinants of the household's electricity consumption functions for two households. The results of this study would be useful for understanding socio-demographic, dwelling, and electricity consumption characteristics of low electricity consuming and high electricity consuming households.

• Korean Journal of Human Ecology
• /
• v.24 no.2
• /
• pp.237-253
• /
• 2015

The purpose of this study was to examine the relative deprivation of the households in poverty, comparing with the households in non-poverty, and to find out the characteristics of household groups by the level of relative deprivation. The data for this study was from the 6th Korea Welfare Panel Survey(KOWEPS), consisting of total 5,552 households. The results are as follows: There were statistically significant differences in the objective cost of living, the subjective minimum cost of living, and the subjective adequate cost of living between households in poverty and households in non-poverty. There was statistically significant difference in the relative deprivation between households in poverty and households in non-poverty. Poverty was the factor for the relative deprivation of households.

• Journal of Family Resource Management and Policy Review
• /
• v.19 no.4
• /
• pp.95-120
• /
• 2015

This study aimed to investigate the levels of assets and income of male- and female-headed households. A series of analyses of data from the 2013 Korean Household Finance and Welfare Survey on the economic resources of single-parent households were conducted. One of the major findings was that in a comparison between male-headed households and female-headed households, the levels of assets and income in female-headed households were lower than those in male-headed households. The labor income in male households was almost two times higher than that in female households. Housing conditions with respect to male households were more secure and better than those in female households. The factors influencing the levels of economic resources in single-parent households varied in terms of the type of economic resources. Gender, employment status, family characteristics and household income were statistically significant factors with respect to the levels of assets in single-parent households. The level of household income was influenced by gender, education, employment status and the number of household members. The effect of employment status on housing conditions was significant.

• Human Ecology Research
• /
• v.54 no.2
• /
• pp.155-164
• /
• 2016

This study explored the characteristics, housing deficits and expectations for support programs of low-income renter households in housing poverty in order to provide housing policy development and improvement information. Microdata of the 2014 Korea Housing Survey was utilized as secondary data for this study. A total of 2,508,672 low-income renter households (weighted count) in the bottom 40% income ranks of entire general households living in private rental units were selected as study subjects. The major findings were as follows. (1) One point four percent of the subjects were living in non-house living quarters (e.g., shanties, vinyl greenhouses, container houses, and mud huts), 1.4% were in dosshouses, 9.9% were in basements, semi-basements or rooftop units, and 8.2% were in sub-standard units. (2) Among the households whose housing costs burdens were measurable, 75.7% were found to have housing cost burdens to pay 30% or more of their household income towards housing costs (rental costs and maintenance costs), but only 7.5% of the burdened households received a housing voucher. (3) Eighty-one percent were found to be in a housing poverty status as defined by the researcher; in addition, low-income renter households in housing poverty in Seoul tended to have a greater proportion of households headed by females, the elderly, and be persons with low-education or disabilities. (4) Households in housing poverty showed greater expectations for financial support and/or extended provisions of public rental housing than other low-income renter households.

• The Korean Journal of Community Living Science
• /
• v.18 no.1
• /
• pp.147-160
• /
• 2007

This research challenges the general notion of one-person households of the elderly during widowhood as impoverished, isolated, and vulnerable. Recognizing a high potential vulnerability, however, this research attempts to describe the diverse composition of one-person households of the elderly. For this purpose, relying on 2% sample data from the 2000 census, it examines regional distribution, socio-economic characteristics, and determinants of one-person households of the elderly during widowhood. Socio-economic characteristics of one-person households of the elderly differ by region. Jeju island is distinct in terms of sex and age distribution, and residence area of children. In general, rates of economic activity and self-subsistence are higher in provinces than in cities. Compared to the elderly living with family, the elderly living alone show high rates of economic activity, self-subsistence, and capability of physical activity. Results of logistic regression analysis of determinants of living arrangement are consistent with those of descriptive statistics. Those who are economically active and able to move around without assistance tend to live alone after the death of a spouse. Number of sons and living in an urban area are negatively associated with living alone, whereas females are more likely than males to live alone. According to the separate analysis by age, the positive effect of economic activity is greater in the oldest of the old than in other age groups. Those who possess high educational attainment tend to live alone when they are 80 and older, unlike other age groups. Based on these findings, this paper finds that one-person households of the elderly nay not always be the most vulnerable group, and are diverse in terms of socioeconomic characteristics.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2009.11a
• /
• pp.168-173
• /
• 2009

The purpose of this study was to analyze behavioral patterns of elderly residents and to identify the characteristics of using furniture and home appliances by elderly-headed households. For this purpose, field studies that included observation and open-ended interview were conducted with 52 households. The data was analyzed with frequency, chi-square test by SPSS 14.0 for windows. The major findings of this study were that: 1) Elderly households had more sitting-down style furniture which was a traditional living mode than western style furniture. 2) They experienced inconvenience to use home appliances that were not designed for the aged. 3) Their behavioral patterns were related with family type and income.

• Land and Housing Review
• /
• v.13 no.2
• /
• pp.65-79
• /
• 2022

To suggest implications of future housing problems, this study investigates which characteristics affect the housing satisfaction of young single households. Using the survey data, we perform the multiple regression and decision tree models based on the SPSS Statistics 25.0. Our empirical results show several key features. First, housing characteristics and intention to continue single households had a positive (+) effect on housing satisfaction, in the order of natural, housing, physical characteristics, and intention to continue single households. Second, housing characteristics and intention to marry in the future had a positive (+) effect on housing satisfaction in the order of natural, housing, and physical characteristics. Third, housing characteristics and intention to increase household members in the future had a positive (+) effect on housing satisfaction, in the order of natural, housing, and physical characteristics satisfaction. Finally, the results of the decision tree model show that the natural characteristics were over 3.4, and housing satisfaction was the highest in the case of Jeonse. The results of this study provide three implications for policymakers. First, improving the residential environment of young single households is important. Second, providing customized housing for young single households could enhance the housing satisfaction of young people. Finally, housing provision needs to be carried out with suitable space for the lifestyle of young single households.

• Journal of Family Resource Management and Policy Review
• /
• v.22 no.4
• /
• pp.1-15
• /
• 2018

The purposes of this study is to analyze the leisure behaviors of single households in Korea on the basis of generation, and identify leisure characteristics or factors that influence levels of happiness in these households. The sample comprised 1,144 single householders, among whom 74 belong to the teenage generation, 288 are of the eco generation, 154 belong to generation X, 104 are baby boomers, and 524 are of the older generation. Various leisure characteristics were compared across the generations, namely, conditions for leisure, degree of leisure participation, level of work-leisure balance, persistence of participation, and type of activity. Results showed differences in leisure characteristics and leisure factors that influence levels of happiness among the generations.

• Journal of Families and Better Life
• /
• v.33 no.1
• /
• pp.19-39
• /
• 2015

The purpose of the study was to examine the characteristics and economic status of deficit households. The data for this study were from The Household Income and Expenditure Survey in 2000, 2005, and 2010 conducted by the National Statistics Office (NSO). Deficit households were defined by those who had expenditures higher than their income. Among total households, the proportion of deficit households was 26.84% in 2000, 28.14% in 2005, and 27.15% in 2010. The average propensity to consume was 132.1 in 2005, which was higher than those in 2000 and 2010. Deficit households were classified into five types using cluster analysis: 1)overall-overconsumption group(33.07%), 2)basic needs group(26.33%), 3)transportation expenditure-dominated group(6.73%), 4)education expenditure-dominated group(27.63%), 5)health care expenditure-dominated group(6.24%). The overall-overconsumption group was the largest group of total households and the portion of this group among total households decreased by 4.97%p from 2005 to 2010. However, the education expenditure-dominated group increased by approximately 7.6%p over the period. It was also found that households in 2000 and 2010 were more likely to be in all five groups than households in 2005. Other major determinants of households with deficit were gender, age, number of family members, education level, dual income, home ownership, vehicle ownership, and income class.

• Journal of Families and Better Life
• /
• v.23 no.2 s.74
• /
• pp.137-148
• /
• 2005

This study compared one-child households' economic structures between those who determined not to have more children and those who have a birth plan. This study examined the demographic characteristics and economic variables such as income, consumption expenditures, assets. debt, and a subjective evaluation of future economic status. Especially, it compared the effects of socioeconomic variables on expenditures on a child between low-fertility and birth-planned households. From a questionnaire completed by a husband or wife of one-child households, 154 low-fertility households and 201 birth-planned households were obtained. A t-test, chi-square test, multiple regression analysis and a dummy variable interaction technique were used. The findings of this study are as follows: First, low-fertility households were older, had higher income, and had more educated, employed wives. Their marital duration was longer, and their child was older than those of birth-planned households. Second, low-fertility households had higher consumption expenditures than did birth-planned households. Especially, expenditures of apparel and shoes, health care, education, and entertainment were significantly higher for low-fertility households. Also, low-fertility households spent more than did birth-planned households on a child. However, low-fertility households had significantly more debt than did their counterparts, and their expectation level of future economic status were lower than that of birth-planned households. Third, the effects of socioeconomic variables on expenditures on a child were different between low-fertility and birth-planned households. Age, education level, husband's occupation, wife's employment status, income, net asset, and subjective evaluation of future economic status showed significant differences. Income elasticity of expenditure on a child was significantly higher for low-fertility households than their counterparts.