• Asian Journal of Atmospheric Environment
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• 제11권3호
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• pp.184-193
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• 2017

People spend the majority of their time in indoor environments. Maintaining adequate indoor temperature and humidity is necessary to support health and improve quality of life. However, people with low incomes can be vulnerable because they may not be able to use effective cooling and heating systems in their homes. In this study, the indoor temperature and humidity in low-income residences over a year in Seoul, Korea was characterized. Indoor temperature and humidity were measured in three types of homes (12 rooftop residences, 16 basement residences, and 18 public rental apartments) occupied by low-income residents. Both differed significantly among the three types of residence, particularly during the summer and winter seasons. A regression model between indoor and outdoor temperature detected a heating threshold at $3.9^{\circ}C$ for rooftop residences, $9.9^{\circ}C$ for basement residences, and $17.1^{\circ}C$ for public rental apartments. During tropical nights and cold-wave advisory days, rooftop residences showed the most extreme indoor temperatures. This study demonstrates that people living in rooftop residences could be at risk from extreme hot and cold conditions.

• 가정과삶의질연구
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• 제7권2호
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• pp.31-43
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• 1989

The purposes of this study were to identify the overall levels of consumer problem, consumer competencies and purchase pattern of urban low-income consumers and to examine the factors affecting the consumer problem and the subareas-market environment problem(MEP) and transaction relation problem(TRP). The related factors, that is, independent variables were competencies-related factors(consumption-oriented attitude, attitude on consumerism, consumer knowledge), purchase pattern-related factors (search pattern, credit pattern, peddler pattern) and socio-demorgraphic factors(age, educational level, family size). For this purpose, a survey was conducted by interview using questionaires on 198 homemakers that lived in the poor areas of Seoul. Statistics used for data analysis were Frequency Distribution, Percentile, Mean, Pearson's Correlation, One-way ANOVA, Scheffe-test, Breakdown and Multiple Classification Analysis. Major findings were as follows: 1) In the level of consum r problem were in the middle level and the level of MEP were higher than that of TRP. The attitude on consumption-orientation was so negative, while attitude on consumerism was positive. The level of consumer knowledge was in the middle level. The urban low-income consumers searched a little and depended on credit and peddler in the low level. 2) Consumer problem perceived by urban low-income consumers differed significantly according to attitude on consumerism, credit pattern, monthly charge of peddler purchase. The MEP depended on attitude on consumerism and monthly charge of peddler purchase, and the TRP was affected by credit pattern and attitude on consumerism. Resulting from MCA, the most influencial variable was attitude on consumerism and credit pattern in the consumer problem, and attitude on consumerism in the MEP, and credit pattenr in the TRP.

• International Journal of Human Ecology
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• 제7권2호
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• pp.111-124
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• 2006

The purpose of this study was to analyze the differences in the health status of the divorced population according to their income status and to explain the social mechanisms. By analyzing 287 midlife men and women divorced within the last 5 years, we found a strong inverse relationship between their health and income status: the low-income divorced group was more liable to depression and poor physical health. Lack of social connections and having less hope for remarriage after getting a divorce were main factors explaining health vulnerability of the low income group among divorced. Further details have been discussed.

• 복식
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• 제35권
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• pp.181-193
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• 1997

The objectives of this study were to classify bedclothes purchase motives and to examine how bedclothes purchase mo-tives and design preferences very accord-ing to age and income. Samples were 217 housewives residing in metropolitan area. Questionnaire included 17 Likert type items of bedclothes pur-chase motive measure 12 items of color preference 7 items of pattern (floral geo-metric abstract stripe plaid polka dot, and paisley pattern). The results of the study were as fol-lows. 1. 5 factors of bedclothes purchase mo-tives were derived by factor analysis ; F .1 'design': F 2. "brand' ; F.3. 'deficiency'; F. 4. 'fabric' F.5. 'economical reason' 2. Subjects perceived design and utility area to be important motives for bed-clothes purchase. 3. Cholor preference of bedclothes was in the order of white pale blue pale green and pale orange. Pattern preference was in the order of stripe plaid solid color floral and polka dot pattern. The combi-nation of patterned fabric and solid color fabric was liked better than the combina-tion of analogic color and the combination of contrasting color. 4. The women in their 20's liked navy blue red stripe plaid pattern and solied color better than 30's and 40's . 40's liked abstract and paisley pattern better then 20's and 30's 5. Low income group lied navy blue and solid color fabric more than the mid-dle and high income group and liked ab-stract pattern less than the middle and high income group. 6. Women in their 20's perceived design to be important motive more than 30's and 40's. 30's perceived brand to be im-portant motive than 20's and 40's 7. High income group perceived design to be important motive more than the middle and low income group. Low in-come group perceived brand and fabric to be less important motives than the middle and high income group, The present findings provide that age and income had a significant effect on bedclothes purchase motives and design preferences of houesewives. The results that white color and the combination of patterned fabric and solid color fabric were liked best indicated that women prefered clean image and chacteristics de-sign of bdeclothes.

• 가정과삶의질연구
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• 제23권2호
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• pp.137-148
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• 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.

• 보건행정학회지
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• 제27권1호
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• pp.84-87
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• 2017

Catastrophic healthcare expenditure refers to out-of-pocket spending for healthcare exceeding a certain proportion of a household's income and can lead to subsequent impoverishment. The aim of this study was to investigate the proportion of South Korean households that experienced catastrophic healthcare expenditure between 2006 and 2015 using available data from the Korea Health Panel, National Survey of Tax and Benefit, and Household Income and Expenditure Survey. Frequencies and trend tests were conducted to analyze the proportion of households with catastrophic healthcare expenditure. Subgroup analysis was performed based on income level. The results of the Household Income and Expenditure Survey revealed that around 2.88% of households experienced catastrophic healthcare expenditure in 2015 and that this proportion was highest in the low income group. Results also showed a statistically significant increasing trend in the number of households with catastrophic healthcare expenditure (annual percentage change= 0.92%, p-value < 0.0001). Therefore, the findings infer a need to strengthen public health care financing and to particularly monitor catastrophic healthcare expenditure in the low income group.

• 무역학회지
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• 제46권1호
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• pp.169-187
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• 2021

This paper analyzes the feasibility of using machine learning and deep learning methods to forecast the income and employment using the strategic industries as well as investment, export, and exchange rates. The decision tree, artificial neural network, support vector machine, and deep learning models were used to forecast the income and employment in Busan. The following were the main findings of the comparison of their predictive abilities. First, the decision tree models predict the income and employment well. The forecasting values for the income and employment appeared somewhat differently according to the depth of decision trees and several conditions of strategic industries as well as investment, export, and exchange rates. Second, since the artificial neural network models show that the coefficients are somewhat low and RMSE are somewhat high, these models are not good forecasting the income and employment. Third, the support vector machine models show the high predictive power with the high coefficients of determination and low RMSE. Fourth, the deep neural network models show the higher predictive power with appropriate epochs and batch sizes. Thus, since the machine learning and deep learning models can predict the employment well, we need to adopt the machine learning and deep learning models to forecast the income and employment.

• 한국지역사회생활과학회지
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• 제18권3호
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• pp.493-505
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• 2007

The purpose of this study is to examine the regional differences of 0-12 aged children's environment based on their parents' socioeconomic class and on the character of the settlement. One thousand and two hundred households were investigated and the results are as follows. It is revealed that families in low socio-economic class are more likely to be exposed to noise and home crowdedness. Families living in spontaneous settlement are deprived of natural light and the roads to their homes are steep and narrow. Low income families face a housing affordability crisis. Most of them pay housing rent on monthly basis. The basic infrastructure of low income neighborhood is lacking convenient facilities like shopping centers, public transportation systems, banks, public parks, and libraries. This lack of facilities is more severe in spontaneous settlement. Instead, bars and taverns are located in their neighborhood. Accessibility to parks and resource centers is an important factor that makes both middle and low income families consider their neighborhood to be positive and this condition is counted better in social housing area than in spontaneous settlement. On the contrary, social networks like friends and relatives are strong in spontaneous settlement and families in poverty value these relationships. Such networks are weak in social housing area and this difference is not related to their residential period. Low income families living in social housing area are more pessimistic about their future and this view might result from their counterpart middle class neighbors and the weak social networks.

• 한국생활과학회지
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• 제4권1호
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• pp.63-74
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• 1995

Urben wage workers' education expenditure among different social classes from 1979 to 1993 has been compared. Eduction expenditure has increased much more than that of income resulting from income increase and government policy. Education expenditure gaps among social classes have showed to be an increasing trend although the ratio of education expense to the income has increased among low class families. Average income elasticity was 1.1 and this result showed that education expense was luxury good. Income elasticity of education expense among low class families have fluctuated more than any other classes resulting from construction business cycle and housing rent increase. Average Gini coefficient was 0.38 and turned out to be highest among 9 household expenditures, however it was in the trend of improvement from 81. But from 91 Gini Coefficient went up high again. Main reason for this increase was due to high social class families' eucation expenditure increase. Government's strong policies to enhance equality level of education opportunity and to support low class families are urged.

• 지역사회간호학회지
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• 제25권3호
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• pp.180-186
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• 2014

Purpose: The purpose of this research is to identify factors affecting suicidal ideation of the low-income elderly. Methods: The study subjects were lowest-income(basic living allowance) and lower-income elders who were registered for home visiting services at five District Health Centers in Seoul. Interview data were collected from 280 elders and analyzed. Using SPSS/WIN 21, $x^2$-test and t-test were conducted to analyze the relationship between the subjects' characteristics and their suicidal ideation, and logistic regression was done to identify factors affecting suicidal ideation. Results: Of the subjects, 48.6% had suicidal ideation for the last one year. Self-evaluated psychological status, quality of sleep, depression, and loneliness were affecting factors to the subjects' suicidal ideation. Conclusion: Psychological and social factors are strongly related to the suicidal ideation of the elderly who are living alone in metropolitan areas. Therefore, home visiting services should supply physical, psychological and social cares continuously to the low-income elderly, especially those who live alone in metropolitan areas.