A survey on feeding practices was conducted with thirty-one cattle farmers belonging to three categories: households without land and no income from agricultural labour (Class 100;10 farms), households without land but deriving considerable income from agricultural labour (Class 101;10 farms), and households with land and without income from agricultural labour (Class 110;11 farms). Information on the types of feeds given of one year. In addition, samples of the feeds offered and refused were collected every two weeks and analysed for dry matter, organic matter (OM), crude protein (CP) and in vitro organic matter digestibility (OMD). Grass was usually cut at an early stage of growth, as such the CP(11.8%) and OMD (62%) were relatively high. All types of rice straw (whole, lower and upper part) and sugarcane forage (tops and leaves) were low in CP (<6 and <8.9%, respectively) and OMD (<45 and <47%, respectively). Rice bran and tofu waste was of much better quality than any other feed. The average number of different feeds in the rations (mean of all farms) was 1.98, with a lower value for class 101 (1.80), than for classes 100 and 110 (2.11 and 2.02, respectively). Of the total amount of OM consumed, 42% was rice straw, 21% grass, 19% maize forage, 10% sugarcane forage, <4% other forages (soya and groundnut straw), 1.3% rice bran and 2.9% tofu waste. The total amount of OM offered varied from <80 $g/kg^{0.75}/d$ in August/September to 1.5 times as much in May (P<0.01). The intake of digestible organic matter (IDOM) for farm class 110 ($37.7g/kg^{0.75}/d$) was significantly (p<0.001) lower than that for classes 100 and 101 (44.1 and $41.3g/kg^{0.75}/d$, respectively). The highest CP/IDOM ratio was recorded for farm class 101 (0.201 as compared to 0.181-0.184).
Korea has not tried any food consumption survey so far except the national nutrition survey, which does not show food consumption patterns of different income stratas. The results of the family income and expenditure survey(FIES) by the national statistical office can be precious sources which show household food consumption patterns due to large, random. Samples, year-round survey period and socioeconomic background data. This study analyzed the FIES data to find out food consumption patterns including nutrient intakes and frequently consumed foods by households among different monthly income levels. Big difference was found in food consumption patterns among the quartile-income groups especially the amount of consumed foods, food expenditure, and nutrient intakes. For every food item, the higher the monthly invomr, yhr motr og goof yhry vondumrf. The monthly food expenditure of higher higher income strata was composed with higher percentage of relatively expensive foods compared to other stratas. Nutrient intake levels of lower income strata were 50-60% of the RDA, which showed the necessicity of food assistance programs for those high risk groups to complement the nutritional difficiency. (Korean J Community Nutrition 2(4) : 633-646, 1997)
In order to provide basic data for the means to improve food situation and nutritional status of those supported by the National Basic Livelihood Security System (NBLSS), we examined household food insecurity and nutritional status of children under the support of NBLSS. This study included 209 children aged 3-12 years (99 boys and 110 girls) and their caretakers. We measured house food insecurity using Radimer/cornell Scale, children's body sizes and nutrient intake by semi-quantitative food frequency questionnaire, and caretakers' nutritional management skills. Only 9.6% of the households were in food secured (FS) while 8.1% were in household food insecured, but without hunger (HFI), 42.1% were in adult food insecured with hunger (AFI), and 40.2% were in child hungry (CH). Important predictors of food security were nutritional management skills of the caretakers as well as their education, but neither income nor food expenditure of the households. Mean energy intake of the children was 86.0% of the Korean Recommended Dietary Allowance (RDA). Intakes of protein, phosphorous, vitamin A and B$_1$ were relatively high ranging from 112.3% to 124.4% of the RDAs while those of calcium, iron, niacin, vitamin C were low showing 74.8-83.3% of the RDAs. Height, weight and weight/height ratio were close to the reference levels. Lower nutrient intakes of children were observed as the households were more food insecured. However, nutrient intakes and body sizes of children did not differ as a function of household socioeconomic status representing by income, food expenditure and caretakers' education. Results of this study suggest the importance of food security and nutritional management skills for the children's nutrient intakes. Concerning this matter, a need for nutrition education in the program for NBLSS was discussed.
Using data from the Korean Labor & Income Panel Study (KLIPS), this study investigates private income transfers in Korea, where adult children have undertaken the most responsibility of supporting their elderly parents without well-established social safety net for the elderly. According to the KLIPS data, three out of five households provided some type of support for their aged parents and two out of five households of the elderly received financial support from their adult children on a regular base. However, the private income transfers in Korea are not enough to alleviate the impact of the fall in the earned income of those who retired and are approaching an age of needing financial assistance from external source. The monthly income of those at least the age of 75, even with the earning of their spouses, is below the staggering amount of 450,000 won, which indicates that the elderly in Korea are at high risk of poverty. In order to analyze microeconomic factors affecting the private income transfers to the elderly parents, the following three samples extracted from the KLIPS data are used: a sample of respondents of age 50 or older with detailed information on their financial status; a five-year household panel sample in which their unobserved family-specific and time-invariant characteristics can be controlled by the fixed-effects model; and a sample of the younger split-off household in which characteristics of both the elderly household and their adult children household can be controlled simultaneously. The results of estimating private income transfer models using these samples can be summarized as follows. First, the dominant motive lies on the children-to-parent altruistic relationship. Additionally, another is based on exchange motive, which is paid to the elderly parents who take care of their grandchildren. Second, the amount of private income transfers has negative correlation with the income of the elderly parents, while being positively correlated with the income of the adult children. However, its income elasticity is not that high. Third, the amount of private income transfers shows a pattern of reaching the highest level when the elderly parents are in the age of 75 years old, following a decreasing pattern thereafter. Fourth, public assistance, such as the National Basic Livelihood Security benefit, appears to crowd out private transfers. Private transfers have fared better than public transfers in alleviating elderly poverty, but the role of public transfers has been increasing rapidly since the welfare expansion after the financial crisis in the late 1990s, so that one of four elderly people depends on public transfers as their main income source in 2003. As of the same year, however, there existed and occupied 12% of the elderly households those who seemed eligible for the National Basic Livelihood benefit but did not receive any public assistance. To remove elderly poverty, government may need to improve welfare delivery system as well as to increase welfare budget for the poor. In the face of persistent elderly poverty and increasing demand for public support for the elderly, which will lead to increasing government debt, welfare policy needs targeting toward the neediest rather than expanding universal benefits that have less effect of income redistribution and heavier cost. Identifying every disadvantaged elderly in dire need for economic support and providing them with the basic livelihood security would be the most important and imminent responsibility that we all should assume to prepare for the growing aged population, and this also should accompany measures to utilize the elderly workforce with enough capability and strong will to work.
The purpose of this analysis is to examine the effects of health expenditure on income inequality on household income after the financial crisis by using the household income survey form 1996 to 2016. The main results are as follows. First, after the financial crisis, the gross income inequality of households has been changing steadily, though there has been a slight change in each year. Second, high-income earners spend more on health care expenditure by income level. Therefore, unequal levels are maintained. Third, the Gini coefficient of income excluding health care expenditure was calculated. The results of the analysis are larger than the Gini coefficient of total income. Income inequality is intensified by the expenditure of health care expenditure of households. The inequality of household income due to health care expenditure has been increasing steadily since the financial crisis. Efforts such as strengthening the protection of health insurance have been continuously carried out for the purpose of reducing the burden of the national medical expenses. However, it does not contribute to resolving income inequality. In the future, it will be necessary to provide a more selective medical support system to reduce the medical expenditure of the low income class.
This study was carried out by using the concentration index calculation method from 1996 to 2016 by using the household trend survey data to confirm the difference of income transfer income and inequality in public transfer income. The main results are as follows. First, the public transfer income concentration index in 1996 was concentrated on the high income group with +0.2774, but since 2009, the concentration index has been negative (-), which has concentrated on the low income group. However, the effect of redistribution of income was small. Second, the average public transfer income of low - income households increased significantly while the number of high income earners decreased. It is gradually improving that public transfer income did not play a role in the improvement of income inequality. Third, public transfer income has been continuously increasing in all income classes, and the rate of increase is low in the low income class and slow in the high income class, so the public transfer income of the low income class is higher than that of the high income class. In sum, the inequality of public transfer income by income class in Korea is gradually improving, but it is not considered to be a level that can improve the inequality between income groups.
Relationships between socio-demographic variables and parents' education invest-ment motivation variables and extra-class private education expenditures were examined using a sample of 602 households in Inchon Korea. Tobit analysis was used. Singal-cognitive motivation parents' duty motivation household income housing asset father's occupation class and number of children had significant effects on extra-class private education expenditures on general high school students. To alleviate overspending in extra-class private education diploma pursuing society has to be changed and formal school education need to be properly functioning. Finally parents seek new child education paradigm for the creative labor demand in the next millenium.
Journal of the Economic Geographical Society of Korea
/
v.17
no.3
/
pp.502-516
/
2014
This study has decomposed the Gini coefficient using Korean Labor & Income Panel Study data and empirically analyzed the impact of demographic characteristics and source-specific income of householder on the household income gap using panel analysis. The scope of areas were divided into 'nationwide,' 'metropolitan areas,' and 'non-metropolitan areas,' and the period before and after the global financial crisis was examined. The analysis findings are as follows. First, when the entire period was examined by income source using Gini decomposition with division of areas into 'nationwide,' 'metropolitan areas,' and 'non-metropolitan areas', the following results were revealed. The absolute and relative contribution level of property income to the gross income was the largest in the category of 'nationwide' and 'metropolitan areas,' while the contribution level of earned income was the largest in the category of 'non-metropolitan areas'. In addition, property income worsened the household income gap the most in the category of 'nationwide' and 'metropolitan areas.' Second, property income worsened the household income gap less after the financial crisis than before the crisis. It is probably because the price of real estate skyrocketed before the global financial crisis, worsening the household income gap, whereas the price drop after the crisis temporarily alleviated the gap. Third, a correlation analysis revealed that households with older householders whose education is high school graduation or below had relatively low gross income, and households with higher source-specific income, especially earned income, had relatively high gross income. Fourth, when the household income determinants were compared through panel analysis with division of areas into 'nationwide,' 'metropolitan areas,' and 'non-metropolitan areas,' the following results were obtained. While the impact of earned income, financial income, and other incomes was greater in non-metropolitan areas than in metropolitan areas, the impact of property income was greater in metropolitan areas than in non-metropolitan areas. To reduce the income gap, the government should impose higher taxes on the high-income class and provide tax benefits to the low-income class, with efforts to create a wide variety of jobs. In addition, since income inequality gets worse as the proportion of incomes generated through asset holdings becomes higher, the government should focus on stabilizing property prices while paying attention to the regional differentiation when carrying out related policies.
This study examined the effects of household head’s worker status change type on household income and household head’s income using a total combined sample of 2,578 households from Korea surveyed in 1998 and 2002 KLIPS(Korean Labor and Income Panel Study). Binary logit regression results showed that household incomes were likely to decrease significantly when household head’s changed worker status from a regular employee, a temporary employee or a daily worker, or an employer or a self-employed to no job status, or from a regular employee to a temporary employee or a daily worker, an employer or a self-employed, or from an employer or a self-employed to a regular employee compared to a regular employee status maintenance. In contrast, household head’s incomes were likely to increase significantly when household head’s changed worker status from a temporary to a regular employee compared to a regular employee status maintenance. Women household heads were significantly associated with the likelihood of the decrease of household head’s income compared to men household heads. Household heads beyond their forties were significantly associated with the likelihood of the decrease of household head’s income compared to household heads in their thirties age-group counterparts. Household heads with education level beyond high school graduation were significantly associated with the likelihood of the increase of household head’s income compared to household heads with the education level of high school graduation. This study shows that a more comprehesive labor policy is needed for achieving sustainable household income inflow.
The Sejong Metropolitan Autonomous City is launched on July 1, 2012, and Phase 1 of the Multifunctional Administrative City Construction Project was completed in late 2015. Therefore, it is necessary through the results of the first phase of the project to check whether Sejong city can achieve the target population and number of households by 2030 and to use to determine the number and type of housing to be supplied next. Based on the presented results of the Phase 1 project period, this study estimate the population and number of households in 2030. For forecasting future population the population growth rate seen in the future of Sejong City's population forecast published by the National Statistical Office and the performance against plans Step 1 were used for forecasting future population. The results of analysis showed that the Multi-functional Administrative City is difficult to attract five hundred thousand people and two hundred thousand houses. In the analysis of households by type The Multi-functional Administrative City is The large proportion of 3-4 person households and high-income earners and Homeowners. But it increased the proportion of households with 1-2 people and rent house of the city grows in size and it is likely to change the level of income. Therefore, it is determined that there is a need to reflect these elements in next housing.
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