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.
BACKGROUND/OBJECTIVES: This cross-sectional study assessed household food security status and determined its association with diet quality and weight status among indigenous women from the Mah Meri tribe in Peninsular Malaysia. SUBJECTS/METHODS: The Radimer/Cornell Hunger and Food Insecurity Instrument and the Malaysian Healthy Eating Index (HEI) were used to assess household food security status and diet quality, respectively. Information on socio-demographic characteristics and 24-hour dietary recall data were collected through face-to-face interview, and anthropometric measurements including weight, height, and body mass index (BMI) were obtained from 222 women. RESULTS: Majority of households (82.9%) experienced different levels of food insecurity: 29.3% household food insecurity, 23.4% individual food insecurity, and 30.2% fell into the child hunger group. The food-secure group had significantly fewer children and smaller household sizes than the food-insecure groups (P < 0.05). The mean household income, income per capita, and food expenditure significantly decreased as food insecurity worsened (P < 0.001). The food-secure group had significantly higher Malaysian HEI scores for grains and cereals (P < 0.01), as well as for meat, poultry, and eggs (P < 0.001), than the food-insecure groups. The child-hunger group had significantly higher fat (P < 0.05) and sodium (P < 0.001) scores than the food-secure and household food-insecure groups. Compared to the individual food-insecure and child-hunger groups, multivariate analysis of covariance showed that the food-secure group was significantly associated with a higher Malaysian HEI score while the household food-insecure group was significantly associated with a higher BMI after controlling for age (P < 0.025). CONCLUSIONS: The majority of indigenous households faced food insecurity. Food insecurity at the individual and child levels was associated with lower quality of diet, while food insecurity at the household level was associated with higher body weight. Therefore, a substantial effort by all stakeholders is warranted to improve food insecurity among poorer households. The results suggest a pressing need for nutritional interventions to improve dietary intake among low income households.
Based on household characteristics, this study analyzes the sources of changes in income class. Using KLI panel data in 1998 and 2001, household equivalent income is calculated and households whose income class is changed are identified. Various household characteristics are examined to understand which characteristics are influential in income class changes. Empirical estimations are carried out by employing an ordered probit model. Region of residence, age of household head, education level of the head, the number of employed family members in 1998, and a change in the number of employed family members are shown to be statistically significant. Calculation of marginal probability based on the ordered probit estimation results show that the probability of upward movement in income class decreases as a household lives in rural areas, while the probability of upward movement increases as the household's head is better educated, the number of employed family members are higher and there is a higher increase in the number of employed family members. Age of the head has mixed results; while the probability of upward movement in income class decreases as the head gets older for the households in middle and high income classes, that probability increases as the head is in the range of the 40s and the 50s in low income class households.
In this paper, we draws tendency of the electricity consumption in residential buildings according to inhabitants Composition types and the level of incomes. it is necessary to reduce energy cost and keep energy security through the electricity demand forecasting and management technology. Progressive social change such as increases of single household, the aging of society, increases in the income level will replace the existing residential electricity demand pattern. However, Only with conventional methods that using only the energy consumption per-unit area are based on Energy final consumption data can not respond to those social and environmental change. To develop electricity demand estimation model that can cope flexibly to changes in the social and environmental, In this paper researches propensity of electricity consumption according to the type of residents configuration, the level of income. First, we typed form of inhabitants in residential that existed in Korea. after that we calculated hourly electricity consumption for each type through National Time-Use Survey performed at the National Statistical Office with considering overlapping behavior. Household appliances and retention standards according to income level is also considered.
The purposes of this study were to identify education expenditure and to analyze contributing factors to total education expenditure for two children among married couples. For these purposes, total sample of 1,256 married couples those having two children of both pre-school aged and school aged were selected, and total sample was divided into four groups by first child's school aged; those were pre-school aged(375), elementary school aged(385), middle & high school aged(248) & college aged(248). Statistics used for the analysis were frequencies, means, percentile, and tobit and OLS analysis. The results were as follows. First, the households those having the first child of pre-school aged didn't spent for public education expenditure, while public education xpenditure of school aged increased continuously. The households having the first child of high school aged spent the most private education expenditure among four groups, however, total education expenditure of the households having the first child in college aged spent the most education expenditure were household head's age, family size, home ownership and financial asset amount, and elementary school-aged's factors were household head's age, education level, home ownership and total household income. Also, household head's education level, wife's expectation of future economy, residence, total household income had significant effects on total education expenditure in middle and high school-aged, and household head's job, home ownership, contact with neighborhood, residence and Engel's coefficient were significant variables in college aged.
This paper attempts to provide a new theoretical approach and an empirical analysis based on it to interrogate the structure of household income inequality and its changes in South Korea in the 2010s. Previous research on inequality in sociology, labor economics and feminism has focused on local inequalities which derive from specific spaces of society. For a comprehensive understanding of social inequality in totality, it requires a discussion of global inequality beyond local inequalities. Thus, a synthetic approach that integrates local inequalities, encompassing class, the labor market, population, and family. By using regression-based inequality decomposition, we decompose the contribution of gender, level of education, employment status, occupation, household composition and wealth to household income inequality. This paper shows that household and wealth, as well as the factors discussed in the previous research, are significant factors affecting household income inequality in South Korea.
The purpose of this study was to propose ubiquitous housing environment based on older residents' needs for ubiquitous(UT) home services. For this purpose, at the previous study which was the first stage of this study, UT home services by each elderly household based on spouse, income level, and health status were identified and this study finally proposed UT home services by each elderly household type according to residents' level of needs for UT home services. One to one interview with a structured survey questionnaire and illustration was implemented and 204 older residents who were composed of one of six elderly household types were responded. Among 6 types of elderly households, type 2 and 6 were the groups which had higher needs for various kinds of UT home services. Economic status and their health status were the key factors to determine their needs for UT home services. Type 4 and 7 were the groups to express their lower needs for UT home services due to their lower income level and good health condition. Ultimately, two floor plans for type 4 and 5 elderly households were developed to show applicable UT home services in each room of the house.
This study examined household food insecurity and the associations of food insecurity with socioeconomic conditions, food behaviors, and nutrient intakes among 458 older adults(mean age=$73.2{\pm}4.5$) from 5 clusters of low-income areas in Seoul, Korea. Using an adapted version of the USDA short form household food insecurity scale, 63.4% of the households were food insecure(40.7% for food insecure without hunger and 22.7% for food insecure with hunger). The proportion of household was lower on the items measured more severe level of food insecurity. Food insecurity was linearly and negatively associated with food expenditure, food secured period and the degree of nutrition management skills, health status and depression. Food secure older adults had mere of energy and other nutrients from animal resources(riboflavin and animal protein, fat and calcium), but less of carbohydrates than those from the food insecure households. These results suggest household food insecurity measures used in this study was valid as well as food insecurity was prevalent and an important indicator of nutrition well-being among low income elderly persons.
The purpose of this study is to analyze the compensation of rurul women receive instead of their physical participation and contribution to their households. I am specifically concerned with the rural women's economic status in relation to their decision making power on household and agricultural economic issues as well as property held in their names. The data of 166 rural men and women in Jyungpook Province are collected by using questionnaires in June 1998. The findings of this study are as follows; 1) Rural women contribute average 53% of their husbands' contribution to agricultural labor which is on average 43.0% of total annual household income. 2) The decision making power on major economic issues remains still very low among rural women. Rural women are still excluded from the possibility of actually owning assets such as property,. Only 189% had assets under their names for assets. 3) The significant factors concerning the rural women's decision making power on econo ic issues are gender-role attitudes of rural women and the husband's judgement of how much their wives contribute to the annual household income. 4) the major factors which influence rural women owning household assets are the decision making power on economical matters contribution to the annual household income and each woman's education level.
The purposes of this study were to identify the household's financial status by life cycle stage and no analyze contributing factors to financial planning for retirement preparation among Korean marred couples. For these purpose, 2074 married couples those being under 55 and having either single earner or dual earners were selected, and total sample was divided into three stages; young-aged(<35), middle-aged(35-44) & old-aged(45-54). Statistics were frequencies, means, percentile, and logistic analysis. The results were as follows. First, old-aged had higher level of total income, total expenditure and total assets than either young-aged or middle-aged. In addition, households those holding private pensions were likely to have higher total income, total expenditure and total assets than those owning no private pension. while middle-aged had a highest total debts. Second, gini coefficients of total income and total expenditure between three aged groups were similar, but old-aged had the highest gini coefficient of total assets and total debts. In particular, gini coefficients of total assets and total debts of households those having no private pension were greater than those holding private pensions. third, contributing factors to private pension ownership of young-aged were family & household-related factor and financial factor, middle-aged's factors were household head's characteristics and financial factor. Also, old-aged's factors were household head's characteristics, family & household-related factor and financial factor.
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