This study is to structurally examine the regional income disparity in Korea. It measures the regional income inducement by household consumption expenditure per unit income, and the regional interdependency of income using 2005 and 2015 Regional Input-Output Tables of 16 provincial regions of Korea. The results are as follows. Firstly, the income inducement by consumption expenditure per unit income decreased overall, mainly due to the decrease in the income inducement of other regions than due to that of their region. Secondly, in many regions, the inter-relational income dependency per unit income decreased also, this too, mainly due to the decrease in the income transfer to other region. And, the income inducement effects of consumption expenditure per unit income of Seoul and Gyeonggi, which occupy a large portion of the Korean economy, were lower than that of other regions, but took the largest portion of income inducements generated by other regions as well as by themselves and absorbed the income transfers from other regions the most. The higher income inducement and income absorption in Seoul and Gyeonggi by consumption expenditure of other regions were mainly because of the high share in service of their consumption structure, the progress in tertiarization of their industrial structure, and the high wage portion. These results also mean that viewed from the regional interdependency of income, the income of Seoul and that of Gyeonggi are highly dependent on the income of other regions. Especially, Gyeonggi which leads the overseas exports of high-tech based manufactured products, has other external factors that contribute to their high income inducement, whereas, Seoul which shows high income absorption using its inter-relations with other domestic regions based on the services, has an income-generating structure that is sensitive to other regions' economic situation. Amid overall declines in regional income inducements and in income transfers, and continuing concentrations into Seoul and Gyeonggi regions, to alleviate the regional disparity, the regional industry policies should, rather than benchmarking the policies of the two concentrated regions, enhance their own inter-regional relationships by strengthening the comparative advantage of their regionally specialized industry.
This study was carried out to investigate the dietary attitudes and nutritional status of preschool children in different income levels in Busan. The survey was conducted from November 1 to November 30, 2004 by questionnaires mid data analyzed by the SPSS program. The results are summarized as follows: The Kaup index of the upper income class group was higher than that of the other income classes. In the middle income class group, nutrition knowledge scores were higher than in any other income class. Sixty-four point nine percent of the upper income class children, 25.7% of the middle income class children and 15.7% of the low income class children had nutrition education experiences. Intake of protein was higher than that of the Korean recommended dietary allowances (RDAs) for children. In the upper income class group, intake of calcium was higher than in any other income class. Intakes of calcium and iron were lower than those of the RDAs in all children. Dietary attitude had positive correlation with frequency of breakfast, time for outdoor activity, and height and weight, and had negative correlation with frequency of fast food and time for watching television. Frequency of snack had positive correlation with frequency of fast food and time for watching television, but frequency of breakfast had negative correlation with those. These results indicate that nutrition education programs linking parents to children should be carried out to improve their nutritional status.
This study analyzed the distribution of forest income and other variable sources of rural household income and considered their importance for the reduction of income inequality and poverty. We employed Gini decomposition to measure the contribution of forest income and other sources of income to income equality and assess whether they were inequality-increasing or inequality-decreasing in the 14 villages. The forest income Gini correlation with total income was very high, $R_k=0.6960$, and the forest income share of total rural household income was 35% ($S_k=0.3570$). If the income earned from forest activities was removed, the Gini index would increase by 10.3%. Thus, if people could not access forest resources because of vast deforestation, perhaps from the limitations of government-managed forestry, unplanned clearing of forest land for agriculture or the granting of ELCs, there would be an increase in income inequality and poverty among rural households. The findings suggest that policy makers should look beyond agriculture for rural development, as forest resources provide meaningful subsistence income and perhaps contribute to both preventing and reducing poverty and inequality in rural communities. The study found that non-farm activities were inequality-increasing sources of income. The share of non-farm income to the total rural household income was $S_k=0.1290$ and the Gini index of non-farm income was very high, $G_k=0.8780$, compared with forest and farm income. This disagrees with other studies which have reported that non-farm income was inequality-decreasing for the rural poor.
This study employed the Gini coefficient decomposition analysis to classify and examine fishery household income inequality according to income sources. The raw data from the Fisheries Economic Survey by the National Statistical Office were used for the analysis after equalization according to the recommended method of the OECD. In particular, the Gini coefficient was decomposed by classifying with and without public subsidies, and the contribution, correlation, and marginal effect by income source were presented.As a result of the analysis, the inequality of fishing income and non-fishing income of fishermen was worsening, and the inequality of transfer income was continuously easing. Among them, fisheries subsidies have been analyzed to have the greatest contribution to the Gini coefficient of gross income and the highest relative marginal effect, although distribution inequality has been alleviated. On the other hand, other subsidies, including public pensions, were found to have the opposite contribution, correlation, and marginal effect to fisheries subsidies. The results of this analysis showed that even within public subsidies, the contribution to income redistribution might differ depending on the nature of the subsidy. In addition, in the case of other public subsidies, it can be seen that the transition from selective welfare to universal welfare occurs.
Journal of the Korean Society of Clothing and Textiles
/
v.38
no.1
/
pp.33-45
/
2014
This study investigates urban household consumption patterns for clothing items in different income cohorts through the analysis of an Almost Ideal Demand System (AIDS) model. Korea quarterly time-series statistics data for urban household expenditures from 1990 to 2013 analyzed household demand. The price and total consumption expenditure elasticities of 4 clothing items (outer wear, shoes, clothing related services and other miscellaneous clothing) for 7 income cohorts were estimated to investigate the clothing consumption patterns of different income cohorts. The study results show that the different household income cohorts have different consumption patterns for clothing items. The elastic demand of total consumption expenditures in the lowest household income cohort suggests that they consume clothing items as luxuries while other households mostly consume them as necessities. The price elasticity for all household income cohorts and clothing items (except the highest household income cohort and outer wear) was found to be elastic. The highest household income cohort had an inelastic price demand for all clothing items that implied a less sensitive clothing consumption change for the clothing price change than other households.
The purpose of this study was to evaluate dietary habit and nutritional status by household income in female adults, using data from the $4^{th}$ Korea National Health and Nutrition Examination Survey (2007~2009). Subjects were 8,356 women over the age of 20 years. The subjects were classified into 4 groups by household income level. Dietary data from 24 hr recall methods were used to analyze nutritional status. The obesity rate of the low income group was significantly higher than the rates of other income groups. Additionally, the nutritional status of the low income group was worse than those of other groups. The percentage of carbohydrate in total energy intake was higher and food security status was lower in the low income group than in other groups. Awareness and adherence to dietary guidelines were also lower in the low income group. Adherence to a dietary guideline of 'avoiding salty foods and trying to eat foods with bland taste' and 'eating a variety of foods from each food group' were lower than those of other groups. However, the frequency of skipping breakfast among the low income group was lower than that of others. Therefore, this study suggested that low income women should decrease the percentage of carbohydrate in total energy intake and adhere to dietary guidelines, especially those of avoiding salty foods and eating a variety of food groups, in order to improve their nutritional status.
While theories of portfolio selection have been developed very little is known about how individuals actually go about constructing their asset potfolios. This study investigates empirically the characteristics of household's assets and which factor associated with risky and safe asset amount. Data used in this study consisted of 2,164 households and the statistics employed to analyze the data are univariate procedure Logit analysis and OLS. The results of this study were as follows: Among 2,164 households 505 housholds(23.3%) had risky assets. Average risky asset amount is 8,351,500 won and average safe asset amount is 7,086,900 won. Region education and occupation of household head home ownership transfer and other income and total expenditure had significant effects on either and other income and total expenditure had significant effects on either household having risky asset or safe asset. Financial income transfer and other income and total expenditure had significantly p sitive relation with the risky asset amount. Whereas age and the occupation of household head the sense of economic wellbeing earned financial tranfer and other income and total expenditure had significantly positive relation with safe asset amount.
This paper is to determine the clothing and footwear of urban household consumption expenditures and an analysis of historical data from relevant literature. Particularly, time-series and cross sectional analysis techniques are adopted in analysing the patterns of clothing and footwear consumption expenditures of urban households. Finally, this paper estimates consumption expenditures in the future by comparing these revealed data with the Korea and Japan. Annual Report on the family Income and Expenditure Survey and M.R.A. in S.P.S.S. were used. The results can be summarized as follows: 1. The proportion of the clothing and footwear expenditure has decreased with the increase of income in urban household during 1976-1987. 2.1) Household consumption function by Income group, the Lower group is higher than the other group. 2) Household consumption function by Occupation of household head. Income elasticity estimation in administrative managerial workers is higher than the other group. 3) Household consumption function by Family size. Income elasticity estimation in 6 Persons is higher than the other group. But 4 Persons is higher in 1986. 4) Household consumption function by Age of household head. Income elasticity estimation in 50 Years and over is higher than the other group. 3. Comparison of characteristics of clothing and footwear consumption expenditures in Korea and Japan were M.R.A. Generally, the priority correlation order for Korea is Outwear, Sweaters and Shirt, Other clothing. For Japan, the order is Sweaters and Shirts, Underwear, Services.
Journal of the Korean Society of Clothing and Textiles
/
v.29
no.2
/
pp.199-209
/
2005
The purpose of this research is to examine the effect of the 1997 economic crisis on Korean households' clothing expenditures at different incom levels. The raw data sets from the Family Income and Expenditure Survey of 1994, 1996, 198, and 2000 produced by the National Statistical Office were used. Based on their income data, subjects were divided into three groups: upper-income (upper 30%), low-income(lower 30%), and middle-income (the 40% in between). The main results are as follows : 1) the income, consumption expenditures (ConE) and clothing expenditures (CloE) of Korean households increased in 1996, decreased in 1998 and recovered in 2000. Although the proportion of ConE to income increased after the economic crisis, CloE/ConE decreased. Clothing expenditures displayed an asymmetric pattern over the economic crisis : the clothing expenditures decreased severely and quickly during the groups. 2) Compared to other household expenditures, clothing expenditure patterns were unique and of clothing categories, the propottion of expenditures for outwear decreased considerably compared to other categories after the economic crisis.
This study analyzed the annual difference of firm's book income, taxable income and BTD that before and after the 2009 corporate tax rate cut and 2018 corporate tax rate increase. ANOVA analysis was performed for each item by year, and post hoc was performed after homogeneity test of variance. The research results are as follows. First, the book income at corporate tax rate cut was higher than taxable income, and BTD in 2008 was significantly different from other years. Second, the book income at corporate tax rate increase was less than taxable income, and BTD in 2017 was also significantly different from other years. In other words, the firm is performing appropriate profit adjustments to reduce of tax burden when the corporate tax rate changes. Because of this, the BTD in the year immediately before the corporate tax rate change is different from other years.
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