• Korean Journal of Social Welfare
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• v.55
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• pp.181-204
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• 2003

The purpose of this study was to offer a comprehensive analysis of the changing trends of the Korean income packaging, poverty rate, and level of income inequality from 1996 to 2002. In order to do that, this study used the micro-data of "Income and Expenditure Survey of Urban Households" by the National Statistical Office(NSO). Major results were as follows: (1) A ratio of public transfer in family income packaging increased at the DJ administration. (2) Poverty rate and Gini coefficient, which were 7.8% and 0.29 in 1996, rose to $8.8{\sim}10.4%$ and $0.30{\sim}0.34$ respectively during the year of 1998-2002. (3) However, poverty reduction effect and income inequality reduction effect of public income transfer increased preferably at the DJ administration. Those effects increased more since the enactment of National Basic Livelihood Security in 2000. Therefore, government should provide more national welfare programs to reduce the poverty rate and to improve better structure of income distribution.

• Journal of Preventive Medicine and Public Health
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• v.55 no.6
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• pp.506-519
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• 2022

Objectives: This study aimed to analyze the associations of income, marital status, and health behaviors with hypertension in male and female over 40 years of age in the Korea. Methods: The data were derived from the Korean Genome and Epidemiology Study (KoGES; 4851-302) which included 211 576 participants. To analyze the relationships of income, marital status, and health behaviors with hypertension in male and female over 40 years of age, multiple logistic regression was conducted with adjustments for these variables. Results: The prevalence of hypertension increased linearly as income decreased. The odds ratio for developing hypertension in people with an income of <0.5 million Korean won (KRW) compared to ≥6.0 million KRW was 1.55 (95% confidence interval [CI], 1.25 to 1.93) in the total population, 1.58 (95% CI, 1.27 to 1.98) in male, and 1.07 (95% CI, 0.35 to 3.28) in female. The combined effect of income level and marital status on hypertension was significant. According to income level and marital status, in male, low income and divorce were most associated with hypertension (1.76 times; 95% CI, 1.01 to 3.08). However, in female, the low-income, married group was most associated with hypertension (1.83 times; 95% CI, 1.71 to 1.97). Conclusions: The results of this study show that it is necessary to approach male and female marital status separately according to income in health policies to address inequalities in the prevalence of hypertension.

• Journal of Families and Better Life
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• v.28 no.1
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• pp.159-174
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• 2010

The purpose of this study was to examine the health care expenditure of elderly single and elderly couple households whose head is more than 60 years old. The data analyzed for the study were Korean Retirement and Income Study(KRelS) conducted in 2007 by National Pension Corporation. The major finding of this study were as follows: First, the amount of health care expenditure of elderly single households was lower than that of elderly couple households. However, ratio of health care expenditure to total consumption expenditure of elderly single households was larger than that of elderly couple households. Second, the ratio of health care expenditure in consumption expenditure in this study was larger than the ratios in past analyse showed in the previous studies. Third, common factor affecting on health care expenditure of elderly single and elderly couple households was the existence of the family member with chronic disease or handicap. The health care expenditure of elderly singer households was influenced by income, gender and the ownership of national health insurance. The influence of income for elderly singer households seemed to be greater than for elderly couple households. The variables which affected health care expenditure of elderly couple households were age and housing tenure status. The amount and ratio health care expenditure were increased as the age increases. These results show that the health care expenditures for each groups varied according to socio-demographic variables and health-related behavior variables. It is suggested that there should be a discriminative health care policy for each elderly single and elderly couple households. In addition, the health care policy for the elderly households of which member has a chronic disease is certainly necessary. Especially a health care plan for the elderly single households with lower income is in need. For the elderly couple households, the priority group of health care policy would be the high age group.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.73-85
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• 2020

As an effort to achieve sustainable development and increase people's welfare, financial inclusion has become the policy agenda of many countries. Therefore, the effect of financial inclusion on economic growth, poverty, income inequality, and financial stability in several countries in Asia has become the goal and this is the subject of this study. Financial inclusion is measured by 3 dimensions, namely banking penetration, access to banking services, and use of banking services. Poverty ratio below the national poverty line and the Gini coefficient are used as indicators of poverty and income inequality. Financial stability is measured by Bank Z-Score and bank nonperforming loans. The results from the hypothesis test shows that all dimensions of financial stability simultaneously have significant influence on economic growth, poverty, income inequality, and financial stability. On the other hand, the partial impact of financial inclusion dimension on economic growth, poverty alleviation, income inequality, and financial stability in ten countries of Asia has not been optimal. The derived results of this study is required to be interpreted and considered by the Governments of each country in developing strategies for increasing financial inclusion, so that the policy to achieve sustainable development and enhancement of people's welfare can be achieved.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.415-428
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• 1997

In the present study we examined clothing expenditure patterns and related variables in Korea. In addition we analyzed the differences of clothing expenditure patterns between overall overspenders and non-overspenders. We use the Family Income and Expenditure Study published by the National Statistical Office of Korea. Double logarithm functional forms were used to adjust the normality of sample distribution and multiple regression analyses and t-test were utilized as a statistical tools. The present study was divided into four folders. First the income elasticity of clothing expenditures was examined by different groups such as age job and education levels of households as percentage change of clothing expenditures to a percentage change of income. Second to analyze the effects of demogtraphic and socio-economic variables on clothing expenditure we utlized the standardized coefficients in the separate regression equation by demographic and socio-economic variables. Third using spending to income ratio we investigated the differnces of the clothing expenditure patterns between overall overspenders and non-overspenders. Fourth the effects of independent variables by ovespenders and non-overspenders werediscussed.

• Journal of the Korean Home Economics Association
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• v.34 no.5
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• pp.209-222
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• 1996

The purpose of this study is to apply ratio analysis, which indicates the rate of income to total expenditure, to examine wage-earners' overspending in Korea. We use the Family Income and Expenditure Survey produced by National Statistical Office Republic of Korea and total sample size is 40,691 including households complete income reported. Through the t-test, among 17 expenditure categories, overspenders is likely to spend more on housing, apparel, medical, education, and leisure expenditures more than non-overspenders significantly. Interestingly, overspenders have more income, but less financial assets than non-overspenders. To analyze the effect of socio-demographic variables on overspending, ordinary least square is utilized. The results shows that the more educated, larger family size, and older consumer tend to overspend. The results of study are leaded into two aspects. First, overspending can be solved by consumer education with efficient financial management practice. Second, overspending may be not solved unless policies in various ways enhance the overall quality of living to lessen each household's budget constraints.

• Journal of the Korean Home Economics Association
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• v.36 no.7
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• pp.57-67
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• 1998

This study was to compare the financial status between elderly households - retired vs employed. The sample obtained from 1994 KHPS, and consisted of 628 Korean aged households who are currently married. Statistics employed to analyze the data are mean, frequency, percentile, t-test, and relative-ratio. The results of this study were as follows ; In income sources, earned income was majority of employed households, but the percent of unearned income was greater than retired households. While the percent of cloth, education, recreation expenditures were high in employed, and medical, housing expenditures wee high percentage in retired. The percentage of real asset(housing) was majority of total asset in two groups. And the percentage of safe liquid asset of retired households was relatively higher than employed households.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.507-520
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• 2009

The purpose of this study is to analyze the changes in the housing instability of low-income households through their residential mobility. The concept of housing instability is measured by taking into consideration of housing types, number of moves, period of homelessness, and housing affordability index. The result of this study shows that housing instability of low-income households owned their homes is mainly caused from their old housing built in at least 1980, and that of tenant households is due to the heavy burden of rent-to-income ratio. By using multinominal logit model, the study finds that low-income tenant households are more likely to move upwards as they are man-headed, aged and relatively high-income if we categorize residential mobility into four types: upwards, equivalent, trade-off, and downwards migration. Considering that the share of homeowners moving downwards increases while the share of tenants moving upwards decreases as they reside increasingly nearby Seoul, the study finds that low-income households living in big cities are no better off to improve their residential instability for themselves than the low-incomes in local small and midium cities. Furthermore, both low-income owners and tenants are less likely to move downwards as the ratio of single-family housing in former residence increases. Such finding has a policy implication that government needs to maintain affordable single-family housing stock rather than supplying excessive unaffordable multi-family housing in order to enhance residential instability of low-incomes households.

• Journal of Distribution Science
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• v.17 no.11
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• pp.73-79
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• 2019

Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.