• 가정과삶의질연구
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• 제33권5호
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• pp.1-24
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• 2015

The purpose of this study was to investigate the effects of Engel coefficient, Angel coefficient and Schwabe index influencing Household head's life satisfaction. For this study, the data from the 8th analysis of the 2013 Korea Welfare Panel Survey conducted by Korea Institute for Health and Social Affairs were used. For the sample, 903 male Household heads with children under the age of 18, were selected. For statistical analysis, SPSS program (Ver. 21.0) was used. And for statistical methods, frequency and percentile, mean and standard deviation, Pearson's correlation, one way analysis of variance, Duncan's multiple range tests, multiple regression analysis were used. The findings are as follows. First, as a results of analyzing the food costs, education costs and housing costs depending on Income Quintile, the food costs and education costs in the 5th Income Quintile compared with other Income Quintile, were highest. Also, the highest housing cost was in the 2nd Income Quintile, while the least housing cost was in the 1st Income Quintile. Second, by analyzing the differences of Engel coefficient, Angel coefficient and Schwabe index according to Income Quintile, the results show that Engel coefficient and Schwabe index decreases as Income Quintile increases, and Angel coefficient increases as Income Quintile becomes higher. Third, the level of HH's life satisfaction according to Income Quintile, 1st Income Quintile, 2nd Income Quintile, 4th Income Quintile, 3rd Income Quintile, 5th Income Quintile in order, increased. Fourth, as the result of analyzing the influence of Variables related to household and demographics about Engel coefficient, Angel coefficient and Schwabe index, it was shown that the variables effecting Engel coefficient, Angel coefficient, and Schwabe index are age, occupations, Number of workers, House ownership, Income Quintile. Fifth, As a result of analyzing the Variables effecting life satisfaction, especially while Schwabe index is not that significant, Engel coefficient and Angel coefficient are shown to have a significant influence. Therefore, the influence of Food costs and education costs can be confirmed.

• 한국산림과학회지
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• 제108권3호
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• pp.392-404
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• 2019

이 연구의 목적은 임가의 소득원이 소득불평등에 미치는 영향을 파악하는 데 있다. 이를 위해 2013년부터 2016년까지 임가경제조사 데이터를 이용하여 소득원천별 지니계수 분해법을 적용하여 분석하였다. 구체적으로는 임가의 소득불평등도 분석은 임가 전체와 5개의 소득분위 계층별로 구분하여 분석하였다. 분석결과를 보면 임가의 소득불평등에 주로 영향을 미치는 소득은 임업소득과 임업 외 소득으로 나타났으며, 분위별로는 최상위 소득계층의 소득불평등은 임업소득의 영향력이 다른 소득원에 비해 크게 나타난 반면, 그 외의 분위에 속하는 임가에서는 임업 외 소득의 영향이 큰 것으로 나타났다. 따라서 임가의 소득증대를 위해서는 최상위 계층을 제외한 다른 계층에서의 임업소득에 대한 비중을 증대시킬 필요가 있으며, 최하위 소득계층의 임업소득이 부채상태인 점을 감안할 때, 이를 개선시킬 수 있는 방안의 강구도 필요한 것으로 판단된다. 동시에 임가의 소득불평등을 개선하기 위해서는 임가소득이 증대될수록 임업소득의 불평등을 개선하기 위한 정책적 대안이 필요한 것으로 판단된다.

• Human Ecology Research
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• 제56권6호
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• pp.573-588
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• 2018

This study analyzed per capita consumption expenditure by the consumption quintile of Middle and Older Elderly Households and the variables that affected it. Sample of 2,983 households was collected from the 6th KLoSA in 2016. First, when comparing the HH's living expenses by the number of family members, two persons to a person ratio, more than six persons to a person ratio were 2.007 and 4.148, respectively. The ratio increased as the number of family member increased; however, the rate of ratio increase decreased. Second, the per capita living expenses for the first and fifth quintile were 5.11 million won and 16.93 million won at the per capita living expenses that applied the OECD's equivalence scale to the HH's living expenses. The per capita living expenses for the fifth quintile was 3.31 times higher than in the first quintile. Third, among the variables influencing per capita living expenses by the consumption quintile, the marital status was the significant for all consumption quintiles; however, HH's income, HH's total asset, HH's financial asset, pension, subjective perception of the economy class, home ownership, residence (metropolitan or small city), education (elementary school), participation groups were significant in some quintiles among all quintiles. Fourth, of the significant variables influencing per capita living expenses, the most influential variables were first quintile followed by second quintile, third quintile, fourth quintile, marital status, HH's income, home ownership, HH's total asset, participation groups, residence (metropolitan), subjective perception of the economy class, in order.

• 보건의료산업학회지
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• 제11권1호
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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.

• Human Ecology Research
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• 제57권1호
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• pp.143-157
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• 2019

This study analyzed per capita expenditure (food expenses, housing expenses, health care costs, and cultural & entertainment expenses) by the consumption quintile for middle and older elderly households in addition to personal characteristics, household characteristics and economic factors affecting it. A sample collected from the 6th KLoSHA in 2016, was 2,983 households. First, among each per capita expenditure, the largest expenditure was food expenses, followed by housing expenses, health care costs and cultural & entertainment expenses. Compared with the first quintile of personal consumption expenditure, the largest increase in the fifth quintile was food expenses, followed by cultural & entertainment expenses, housing expenses, and health care costs. Second, compared to the fifth quintile of per capita food expenses, all other quintile had negative effects, and only the first quintile showed a negative effect compared to the fifth quintile of per capita housing expenses. The first, the second, and third quintile had a negative effect compared to the fifth quintile of per capita health care costs. Compared with the fifth quintile of per capita cultural & entertainment expenses, only the third quintile showed a negative effect. Third, in all quintile of per capita food expenses, the most influential variable from the first quintile to the third quintile was marital status, while in the fourth and fifth quintile included household income. In all quintile of per capita health care costs, health status was the most influential variable from the first quintile to the fourth quintile, and residence was in the fifth quintile.

• 한국사회정책
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• 제23권3호
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• pp.17-47
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• 2016

이 글은 노동시간의 소득계층별 차이와 분포 및 추이를 드러내고 정책적 함의를 도출한다. 노동시간을 주변적시간제, 시간제, 표준노동시간, 장시간으로 구분하고 소득분위별 상대분포를 비교한 결과, 소득 하위 20%는 주변적시간제 내지 시간제일자리에, 소득 2분위에서 4분위까지 60% 가량이 장시간 노동에, 상위 20%는 표준시간노동에 종사하였다. 한국의 노동시간은 단시간-저소득의 유형I, 장시간-중위소득의 유형II, 표준시간-고소득의 유형III으로 계층화된다. 노동시간 유형에 대한 패널 다항로짓 분석결과 월평균 임금을 기준으로 저임금-단시간, 중위임금-장시간, 고임금-표준시간의 유형이, 시간당 임금을 기준으로 저임금-초장시간, 중위임금-장시간, 고임금-표준시간 유형이 확인되었다. 시간당임금 및 월임금, 비정규직 비율, 직업군, 연령대를 중심으로 노동시간의 계층화가 심화되었다. 소득 하위 20%에 대해서는 최저임금 인상, 중위소득 60%를 포함한 다수의 노동자에 대해서는 노동시간 단축을 통한 고용창출이 유효한 전략이 될 수 있다.

• 한국콘텐츠학회논문지
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• 제17권9호
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• pp.145-158
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• 2017

최근 가계부채의 급증과 경제적 변화는 가구의 현금 흐름에 많은 영향을 미치고 있고, 높은 원리금 상환부담으로 부실위험이 증가하였다. 이에 선행연구들은 가계부채에 대한 객관적 상환부담지표를 구성하여 다양한 논의를 진행하고 있지만, 수요자 인식에 대한 연구는 상대적으로 부족하였다. 본 연구는 2016년 가계금융복지조사를 이용하여 가구의 소득분위별 가계부채 주관적 상환부담요인을 도출하여 비교 분석하였다. 연구결과는 소득 1 2분위에서 월세, 신용카드대출, 주거마련 대출비율이 높을수록 원리금 상환에 대한 부담이 높은 것으로 나타났다. 소득 3 4분위는 60대 이상, 가구원수, 부동산담보대출이 많을수록 원리금 상환에 대한 부담이 높은 것으로 나타났다. 소득 5분위는 부채상환마련 대출비율이 높을수록 원리금 상환에 대한 부담이 높은 것으로 나타났다.

• 농촌지도와개발
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• 제30권4호
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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.

• Journal of Preventive Medicine and Public Health
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• 제54권5호
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• pp.352-359
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• 2021

Objectives: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. Methods: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis. Results: The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile. Conclusions: Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

• 디지털융복합연구
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• 제13권12호
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• pp.31-39
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• 2015

본 논문은 1990-2014년 "가계동향조사" 자료로써 소득불평등도 추이를 살피고, 1인 및 2인 가구들이 전체 소득불평등도와 소득격차에 미치는 효과를 기여도 개념으로 실증분석 하였다. 주요 분석결과를 기여도 중심으로 요약하면 다음과 같다. 첫째, 경상소득 및 가처분소득 기준으로 2인 가구의 소득불평등도에 대한 기여도는 시간이 지나면서 증가추세를 보이고 있으며, 2003년 이후부터 그 수준이 10%를 초과하는 것으로 나타났다. 1인 가구의 소득 불평등도에 대한 기여도는 2인 가구에 비해 더 컸다. 둘째, 1-2인 가구의 소득5분위 배율에 대한 기여도는 2006년 이후 증가하며, 2인 가구에 비해 1인 가구의 기여도가 더 컸다. 이상에서 소득불평등도 완화와 소득격차 확대 해소를 위해서 1-2인 가구에 대한 심층적인 조사와 분석을 수행하고, 그 결과에 기초한 정책방안들을 제시할 필요가 있다는 시사점을 도출할 수 있었다.