• Title/Summary/Keyword: schwabe index

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The Effects of Engel Coefficient, Angel Coefficient and Schwabe Index Influencing Household Head's Life Satisfaction : according to Income Quintile (가계의 엥겔계수, 엔젤계수 및 슈바베계수가 생활만족도에 미치는 영향 : 소득계층을 중심으로)

  • Oh, Yun-hee;Kim, Soon-Mi
    • Journal of Families and Better Life
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    • v.33 no.5
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    • pp.1-24
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    • 2015
  • The purpose of this study was to investigate the effects of Engel coefficient, Angel coefficient and Schwabe index influencing Household head's life satisfaction. For this study, the data from the 8th analysis of the 2013 Korea Welfare Panel Survey conducted by Korea Institute for Health and Social Affairs were used. For the sample, 903 male Household heads with children under the age of 18, were selected. For statistical analysis, SPSS program (Ver. 21.0) was used. And for statistical methods, frequency and percentile, mean and standard deviation, Pearson's correlation, one way analysis of variance, Duncan's multiple range tests, multiple regression analysis were used. The findings are as follows. First, as a results of analyzing the food costs, education costs and housing costs depending on Income Quintile, the food costs and education costs in the 5th Income Quintile compared with other Income Quintile, were highest. Also, the highest housing cost was in the 2nd Income Quintile, while the least housing cost was in the 1st Income Quintile. Second, by analyzing the differences of Engel coefficient, Angel coefficient and Schwabe index according to Income Quintile, the results show that Engel coefficient and Schwabe index decreases as Income Quintile increases, and Angel coefficient increases as Income Quintile becomes higher. Third, the level of HH's life satisfaction according to Income Quintile, 1st Income Quintile, 2nd Income Quintile, 4th Income Quintile, 3rd Income Quintile, 5th Income Quintile in order, increased. Fourth, as the result of analyzing the influence of Variables related to household and demographics about Engel coefficient, Angel coefficient and Schwabe index, it was shown that the variables effecting Engel coefficient, Angel coefficient, and Schwabe index are age, occupations, Number of workers, House ownership, Income Quintile. Fifth, As a result of analyzing the Variables effecting life satisfaction, especially while Schwabe index is not that significant, Engel coefficient and Angel coefficient are shown to have a significant influence. Therefore, the influence of Food costs and education costs can be confirmed.

Determinants of Marriage Intention for Korean Youth using Youth Panel Data (청년패널조사데이터를 활용한 결혼의도의 결정요인)

  • Myungkeun Song;Won Seok Lee;Joonho Moon
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.87-98
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    • 2024
  • Purpose - The purpose of this research is to explore the determinants of marriage intention for Korean youth. Because Korean society is under the population decline, inspecting influential attributes become worthy. Design/methodology/approach - This study employed Korean Youth panel data. The determinants of marriage intention include subjective health, leisure time, Schwabe index, culture recreation ratio, and Engel coefficient. This study performed binary logistic regression to test the hypotheses. Findings - The results indicate that subjective health and leisure time positively impact on the likelihood of marriage intention. However, culture recreation ratio and Engel coefficient negatively affect the likelihood of marriage intention. Schwabe index exerts no significant effect on marriage intention. Research implications or Originality - The results could become useful information to build policy to solve the population decline problem

The Effect of Income and Expenditure of Households on Disabled Households' Life Satisfaction - Focus on Mediating effect of socio-economic status - (장애인 가구의 소득과 소비지출이 생활만족도에 미치는 영향 - 사회·경제적 지위의 매개효과를 중심으로 -)

  • Lee, Soo-Yong;Song, Chang-Keun
    • 재활복지
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    • v.21 no.2
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    • pp.139-167
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    • 2017
  • The purpose of this study is to investigate the relationship between living satisfaction and income level and expenditure of the Disabled Households' and the mediation role of socioeconomic status in their relationship also the effect of the according to whether they receive basic living or not. The data and sample of total 2,906 households were extracted from the Panel Survey of Employment for the Disabled (PSED) 8th data, and it was analyzed by the SEM(Structural equation model). The study results are as follows. First, Household income is negative effect on Engel and Schwabe Index, Socioeconomic status is positive effect on life satisfaction. and Socioeconomic status is partially mediated in the path between household income and life satisfaction and socioeconomic status full mediates the schwabe index and life satisfaction. Overall, the study results emphasizes the importance of the economic activity for security income of the disabled households, and it discusses about policy directions.

Incongruence Between Housing Affordability and Residential Environment Quality of Young Renters Living Independently in Non-Seoul Metropolitan Area (비수도권 지역에 독립 거주 중인 미혼 청년 가구의 월세 부담 및 거주성 비교 분석)

  • Hyunjeong Lee;Sangjun Nam
    • Land and Housing Review
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    • v.15 no.1
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    • pp.1-22
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    • 2024
  • This research explores the household and housing characteristics of young renters aged between 19 and 34 living independently in rental housing of non-Seoul Metropolitan Area (non-SMA) and to determine the factors of their housing affordability and residential environment qualities in two districts of non-SMA - metropolises and non-metropolises. Using the 2020 Korean Housing Survey (KHS), this study identified 1,191 unmarried young renters, and most were single adults in mid-twenties who were salaried workers with a bachelor's degree or higher. Also, many lived in single-room occupancy of non-APT housing for less than 2 years and rarely relied on social services. The findings showed that the distinction of local housing market between metropolises and non-metropolises forced the former to spend more housing expense (tenancy deposit and rental fees) than the latter. With regard to housing affordability indices (Schwabe index, housing expense ratio and rent to income ratio), most were housing cost-burdened and nearly one quarter were severely rent-burdened. The regression analysis indicated that housing affordability in both districts was positively affected by income increase and social services, and housing satisfaction in non-metropolises was added to its determinants. Further, residential environment qualities were largely divided into two groups of livelihood and urban infrastructure, and the two factors influenced residential assessment in both districts. Since young renters interdependently living had suffered with housing affordability, both income growth and housing assistance are critically required to enable them not just to reduce the burden but to ensure livability.