• Land and Housing Review
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• v.14 no.4
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• pp.17-37
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• 2023

The rental housing market in South Korea, specifically monthly rent with deposit, has been expanding over the last three decades (8.2% in 1990 to 21.0% in 2020), partly replacing the traditional Jeonse market. The distribution of rent has changed due to public rental subsidies and the emergence of luxury rental housing, while the distribution of rental household income has been polarized because of the emergence of rich renters. This study attempts to measure the structural changes in the rental market by developing a new indicator of income-rent mismatch. Using the seven series of the Korea Housing Survey, this study analyzed the changes in rent (reflecting the conversion rate) and income levels of rental households in 2006 (base year) and 10-15 years later (the analysis year) at the national level and at the spatial unit of 16 metropolitan cities and provinces (excluding Sejong), respectively, by dividing them into quartile data. The result reveals that rental housing was undersupplied in middle- and high-income rental housing due to the decline in the highest quartile (25%→18%) and the third quartile groups (25%→20%), while the supply of public rental housing expanded for the second quartile (25%→28%) and the lowest quartile (25%→35) groups. On the demand side, the highest income quartile shrank (25%→21%), while the lowest income quartile grew (25%→31%). Comparing the 16 metropolitan cities and provinces, there were significant regional differences in the direction and intensity of changes in rent and renter household income. In particular, the rental market in Seoul was characterized by supply polarization, which led to an imbalance in the income distribution of rental households. The structural changes in the apartment rental market were different from those in the non-apartment rental market. The findings of this study can be used as a basis for future regional rental housing markets. The findings can support securing affordable rental housing stock for each income quartile group on monthly rent and developing housing stability measures for a balance between income and rent distribution in each region.

• Journal of Agricultural Extension & Community Development
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• v.30 no.4
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• pp.229-241
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• 2023

This study aims to examine the farm household income and consumption structure change as well as farm income inequality. Data from the Agricultural Household Survey for the years 2016, 2021, and 2022 were hired to analyze farm income inequality by the Gini coefficient decomposition method. Results show that from 2016 to 2021, all income quintiles exhibited an increasing trend, but in 2022, income decreased across all quintiles. As a result of analyzing farm household consumption expenditure, consumption expenditure increased in all income quintiles in 2021 and 2022 compared to 2016, but consumption of optional goods decreased in the fifth quintile. In addition, it was found that farmers in the first quartile had higher consumption expenditures and expenditures on options than those in the second quartile. The analysis of farm income by region show that public subsidies increased significantly for general rural farmers than for farmers in special and metropolitan areas in all income quintiles during the period. In the case of the first quintile, farm household income in rural areas in special and metropolitan cities increased compared to general rural areas. In the fifth quartile, agricultural income and sideline income in general rural areas increased compared to rural areas in special and metropolitan cities, while rural areas in special and metropolitan cities increased non-business income compared to rural areas. Results of farming income inequality by income type show a steady decline in inequality from 2016 to 2022, indicating that the decreasing gini coefficinet of public subsidies is contributing to the decline in farm income inequality. Private subsidies and side income are shown to increase inequality.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.145-158
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• 2017

Lately, rapid increase of household debt and economic change has affected cash flow of household, insolvent risk has increased by high repayment burden of the principal and interest. Previous researches was progressing various discussion, composed objective repayment burden index about household debt. But it was relatively insufficient about perception of consumer. This research compare and analysis determinants of subjective repayment burden in household debt by income quintile, using 2016 Household Financial Welfare Survey. The research result is follows. The income 1 and 2 quartile groups have the higher monthly rent and credit card loan and the housing preparation loan ratio, the higher burden on repayment of the principal and interest. The Income 3 and 4 quartile groups have the higher 60s or older and member of household and real estate mortgage loan, the higher burden on repayment of the principal and interest. The Income 5 quartile group has the higher loan ratio for debt repayment preparation, the higher burden on repayment of the principal and interest.

• Preventive Nutrition and Food Science
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• v.19 no.4
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• pp.333-342
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• 2014

Limited epidemiologic data is available regarding the cardiovascular effects of mercury exposure. The purpose of this study was to determine the relationship between mercury exposure from fish consumption and cardiovascular disease in a nationally representative sample of Korean adults using the Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV 2008~2009). Survey logistic regression models accounting for the complex sampling were used to estimate the odds ratios (OR) adjusted for fish consumption frequency, age, education, individual annual income, household annual income, body mass index (BMI), waist circumference (WC), alcohol consumption status, and smoking status. The mean blood mercury level in the population was $5.44{\mu}g/L$. Trends toward increased blood mercury levels were seen for increased education level (P=0.0011), BMI (P<0.0001), WC (P<0.0001), and fish (i.e., anchovy) consumption frequency (P=0.0007). The unadjusted OR for hypertension in the highest blood mercury quartile was 1.450 [95% confidential interval (CI): 1.106~1.901] times higher than that of the lowest quartile. The fish consumption-adjusted OR for hypertension in the highest blood mercury quartile was 1.550 (95% CI: 1.131~2.123) times higher than that of the lowest quartile, and the OR for myocardial infarction or angina in the highest blood mercury quartile was 3.334 (95% CI: 1.338~8.308) times higher than that of the lowest quartile. No associations were observed between blood mercury levels and stroke. These findings suggest that mercury in the blood may be associated with an increased risk of hypertension and myocardial infarction or angina in the general Korean population.

• Asia-Pacific Journal of Business
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• v.3 no.2
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• pp.34-41
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• 2012

The aim of this paper is to depict the social problems common to South Korea and Japan by comparing their consumption behaviors. For that purpose, we utilize the Survey of Household Economy of both countries and attempt to determine the similarities and differences between the two countries. Our empirical analysis revealed the following. First, although both countries are aging, the first quartile (the poorest in under the definition in this paper) in South Korea has aged more rapidly than in to Japan. As the wages in these two countries formerly increased with age, this substantial divergence in the age composition in the poorest quartile is a remarkable change and suggests that income inequality has been more widely spreading out in South Korea than in Japan. Furthermore, the education expenditure ratio in South Korea is statistically significant for higher income level, while this is not the case in Japan. If the opportunity for better education is dominated by wealthier households, the prompt implementation of a policy to break this vicious circle is necessary in South Korea.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.117-130
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• 2017

Objectives : In this study, 3,107 patients were used to evaluate the impact based on raw data of 2014 and the health status and medical expenses income quintile was collected and data was analyzed. Methods : Analysis method was the average comparison, ANOVA, subjected to a multiple logistic regression analysis, the statistical test was the t-test and the scheffe post verification. Results : Gender(p<.000), age(p<.000), marital status(p<.000) educational status (p<.000), easement(p<.000), medication(p<.000), subjective health status(p<.005) were analyzed. First quintile identified that the highest amount was spent in the Chungcheong region, the 2nd quintile showed that the highest output was in the Gyeongsang region. The 3rd and 4th quintiles indicated that the highest expenditure was in the Seoul metropolitan region. The 5th quintile showed that the Chungcheong was the highest once again and the Jeolla region was the lowest in terms of expediture. Conclusions : Future medical research on income will require the government's Big Data collection to create the primary basis for policy making in order to improve the efficiency, effectiveness and equity of medicine spending.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.137-145
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• 2019

Among the participants of the 2012 Korea Medical Panel survey, 308 people who have used emergency, hospitalization and outpatient services for cancer have been selected. The average annual direct cost per cancer patient was analyzed by adding up the patient's medical expenses, industrial copayments, and non-salary costs. The average annual direct direct cost of cancer spent by cancer patients is about 129,093,792 per male, 158,100,612 won for men and 110,482,075 for women.For those with health insurance, the total direct cost per person from cancer was 183,095,125 won and the beneficiaries were 46,241,705 won. By household income, the average annual direct direct costs per person were 112,459,971 won per patient in the household income quartile, 137,910,890 won for patients in the second quartile, 149,556,570 won in the third quartile and 112,730,461 won, quartile 5, respectively.Was 142,926,331 won.

• Journal of Korean society of Dental Hygiene
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• v.16 no.6
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• pp.1105-1114
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• 2016

Objectives: The purpose of this study was to examine the scaling experience and related factors of people diagnosed with rheumatoid arthritis. Methods: The subjects were 30,680 people diagnosed with rheumatoid arthritis from the 2014 community health survey who were $${\geq_-}19$$ years old. Data were analyzed by chi-square test and multiple logistic regression analysis. Results: Those having regular scaling included well educated people, drinkers, more than three times tooth brushing practice, and regular dental checkup. The respondents were in the higher quartile of income And the respondents who were in the higher quartile of income were less likely to have scaling experience (p<0.05). Conclusions: The scaling experience was closely related with the age, educational level, residential area, income, drinking, tooth brushing practice, and regular dental checkup. It is necessary to investigate the influencing factors of rheumatoid arthritis and periodontal diseases in the further studies.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.366-375
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• 2016

This study evaluates the degree of the inequality of medical care expenditure and private health insurance benefits and the relation with household income inequality in korea health care system. This study used the 2014 korea Health Panel survey, and study method is Gini coefficient. The main results are as follow. First, average household income in 1st income quartile is 6,290,000won and 10st income quartile is 101,930,000won. And Gini coefficient of Korea household income is 0.3756. In other words, family income inequality is quite serious. Second, the Gini coefficient of the public institution supported medical care expenditure, such as health insurance and public assistance, is 0.0761, and the Gini coefficient of the expenditure of transportation fee and medical materials etc that don't supported is 0878. The inequality in medical care expenditure in public health care system and without public support aren't serious all. Third, Gini coefficient in excluding household medical care expenditure from household income slightly increased. That is, the medical care expenditure of our country household is the factor of aggravating the inequality of household income. Fourth, Gini coefficient of private health insurance benefits is 0.0927. Therefore, the ineqality in private insurance benefits is low. In addition, the Gini coefficient of the sum of private insurance benefits and household income is 0.3672. it decrease from Gini coefficient(0.3756) of household's. Private health insurance perform the functions somewhat weaken household income inequality. However, it is very little improvement.

• Korean Journal of Community Nutrition
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• v.2 no.4
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• pp.633-646
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• 1997

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)