• Human Ecology Research
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• 제56권2호
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• pp.175-193
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• 2018

This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.

• Human Ecology Research
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• 제57권1호
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• pp.51-71
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• 2019

This study analyzed the poverty rate by poverty dimension, correlation between multidimensional poverty, variables that affected the number of poverty dimension and the probability of the poor or not. The sample consisted of 6,361 elderly households (1,561 baby boom birth cohort, 1,793 post-liberation birth cohort, 3,007 Japanese colonial period birth cohort) taken from the $12^{th}$ Korean Welfare Panel Study. First, the highest poverty rate among the baby boom birth cohort was 62.8% of employment poverty. The highest rate among the post-liberation birth cohort and Japanese colonial period birth cohort, was 82.5%, 92.3% of health poverty, respectively. Second, the highest coefficient in the baby boom birth cohort was .354 for asset poverty and relation poverty. In the remaining two cohorts, the coefficient for asset poverty and relation poverty was the highest at .268, .284, respectively. Third, the average number of poverty dimensions was 2.318 of the baby boom birth cohort, 2.921 of the post-liberation birth cohort, 3.564 of the poverty in the Japanese colonial period birth cohort. Also, the poverty rate for each cohort was 20.179%, 28.779%, and 50.083%, respectively. Fourth, the significant variables in all cohorts were gender, education, marital status, residence, and equalized ordinary income for the multiple regression analysis on the number of poverty dimensions. Additionally, age of the post-liberation birth cohort was significant, age and family numbers of the Japanese colonial period birth cohort were significant. Significant variables in logistic analysis on the probability of poverty or not were the same as those of regression analysis.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.131-141
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• 2020

This study examines the poverty indicators in Northeast region of Thailand by adopting the global Multidimensional Poverty Index (MPI) methodology and the national survey of Minimum Basic Needs (MBN) of Thailand. Data are collected from three different districts in Khon Kaen province namely: Khok Po Chai, Sam Sung, and Nam Pong. The sample size is 187 households. Data analysis uses Ordinary Least Square (OLS) regression approach and includes 7 dimensions of poverty (health, environment, education, economy, Thai value, asset? empowerment, and digital literacy) with a total of 41 indicators. This study has found that poverty indicators in Khon Kaen province remains centered around the aspects of health and employment dimensions. While a change of family structure in the Thai society since 1960s reduces the family size, household saving substantially increases over the years. The effects of health dimension in poverty, on the other hand, appears on the other poverty dimension of Thai value, which include (1) a bad living habit of head of household (smoke or alcohol consumption) that links with illness and disease, (2) religious practice, and (3) chronic illness. Lastly, there are income gaps of different careers in the area, which suggests the issue of income inequality.

• 디지털융복합연구
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• 제17권10호
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• pp.85-91
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• 2019

본 연구는 청년빈곤이 소득결핍만이 아닌, 주거결핍, 근로결핍, 건강결핍등 삶의 다양한 차원에서의 결핍으로 나타나고 있음을 주목함과 동시에 상대적으로 관심이 부족했던 여성청년 가구의 빈곤 및 결핍을 다차원적으로 분석한다. 다차원적 빈곤은 소득, 근로, 주거, 건강의 네 가지 차원으로 측정하였다. 표본은 한국복지패널 10년치 자료에서 pooling한 2630명의 1인 가구 여성청년이다. 분석도구는 SPSS 통계프로그램을 사용하였고 분석틀은 차원별 결핍율, 결핍차원간 상관분석, N개 차원 빈곤 중첩률이며 이를 위해 빈도분석, 평균분석, 상관분석 등의 기술통계법을 사용하였다. 분석 결과 우리나라 여성청년은 근로와 주거에서 다른 차원에 비해 상대적으로 결핍율이 높게 나타났으며 이 두개 차원이 동시에 빈곤인 여성청년 비율도 다른 경우에 비해 상대적으로 높았다. 이러한 결과를 근거로 본 연구는 청년 여성 맞춤형 일자리 서비스 구축, 강소기업과의 일자리 매칭, 장기전세주택 대상자 중 청년여성 1인 가구 할당 등을 제안하는 바이다. 이와 함께 여성청년 스스로의 공유경제 공동체 설립 등도 대안적으로 고려되어야 할 것이다.

• 한국유기농업학회지
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• 제29권4호
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• pp.471-484
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• 2021

The characteristics of poverty can be comprehensively revealed from the two angles of income and multidimensional. This paper compares China's rural income poverty measure with multidimensional poverty index using data from China Family Panel Studies (CFPS) by focusing on the static and dynamic disparities, and analyzes the factors influencing poverty through the Logit model. The results show that there exists a substantial mismatch in who is deemed poor, 60 percent of multidimensional poverty households are not considered poor in terms of income poverty, and 70 percent of income poverty households are not considered poor in terms of multidimensional poverty; There is a high level of disparity between the dynamics of the two measures of poverty. Among those who rose in the income dimension, only about 7 percent also rose in the multidimensional measure from 2016 to 2018.

• East Asian Economic Review
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• 제27권3호
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• pp.243-269
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• 2023

The multidimensional poverty index is an indicator system established for defining and evaluating poverty, to understand poverty in dimensions beyond just monetary scarcity. Based on income, education, health, living standards, and social dimensions, this article measures and analyzes the level of multidimensional poverty in Xinjiang using the AlkireFoster method, with cross-sectional data obtained from a 2022 survey. Probit model is constructed for regression analysis, further considering the impact of education on enhancing feasible capabilities and alleviating multidimensional poverty at the post-poverty alleviation era. The data shows that many people still face significant challenges from the perspective of multidimensional poverty; the decomposition results of each dimension show that education contributes more to the multidimensional poverty; the regression analysis results show that the higher the education level, the lower the multidimensional poverty; heterogeneity analysis revealed that the inhibitory effect of education on multidimensional poverty is greater for females than males, and the poverty reduction effect of education mainly concentrates on middle-aged and older individuals. This article is meaningful for exploring strategies to alleviate multidimensional poverty in ethnic minority regions in frontier areas in the new era, accelerating regional economic development, and achieving shared prosperity.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.73-85
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• 2020

As an effort to achieve sustainable development and increase people's welfare, financial inclusion has become the policy agenda of many countries. Therefore, the effect of financial inclusion on economic growth, poverty, income inequality, and financial stability in several countries in Asia has become the goal and this is the subject of this study. Financial inclusion is measured by 3 dimensions, namely banking penetration, access to banking services, and use of banking services. Poverty ratio below the national poverty line and the Gini coefficient are used as indicators of poverty and income inequality. Financial stability is measured by Bank Z-Score and bank nonperforming loans. The results from the hypothesis test shows that all dimensions of financial stability simultaneously have significant influence on economic growth, poverty, income inequality, and financial stability. On the other hand, the partial impact of financial inclusion dimension on economic growth, poverty alleviation, income inequality, and financial stability in ten countries of Asia has not been optimal. The derived results of this study is required to be interpreted and considered by the Governments of each country in developing strategies for increasing financial inclusion, so that the policy to achieve sustainable development and enhancement of people's welfare can be achieved.

• 한국사회복지학
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• 제63권1호
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• pp.85-111
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• 2011

다차원적 빈곤접근에 있어 빈자의 구분방식에는 복합지수방식, 합집합 및 교집합방식이 있는데 이들 방식들은 타당하지 않은 문제들이 있었다. Alkire와 Foster는 이 문제를 해소하는 방법으로 합집합과 교집합의 중간 형태로서 결핍차원들의 개수를 경계선으로 이용하는 차원계수방식을 이론화하였다. 차원계수방식에 의해 우리나라의 다차원적 빈곤을 측정한 결과, 3개 결핍차원을 정책적 차원빈곤선으로 하는 경우 다차원적 빈곤율은 20% 수준으로서 10명 중 2명이 다차원적으로 빈곤하였다. 다차원적 빈곤율이 높은 것은 자산, 소득, 사회보장, 건강 등 여러 차원으로 결핍의 폭이 넓은데 기인하였다. 여성, 한 부모, 노인, 비경제활동인구 등 취약계층일수록 다차원 빈곤의 폭이 넓고 가중되고 있었다. 연구결과 현행 기초생활보장제도가 탈 빈곤유도와 기초생활보장이라는 두 가지 정책목표를 각각 효과적으로 달성하기 위해서는 근로능력 유무에 따라 수급자선정과 지원체제를 이원화하고 차원계수방식을 적용하는 것이 유용하다고 본다.

• 한국사회복지학
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• 제56권2호
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• pp.167-194
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• 2004

본 연구에서는 한국 사회에서 빈곤의 여성화 현상과 빈곤의 성적 격차를 실증적으로 분석해 보았다. 여성가구주 가구의 빈곤율은 16.9%로 남성가구주 가구 7.9%의 2.6배였으며, 특히 20-64세 연령계층의 여성가구주 가구의 빈곤위험이 남성가구주 가구에 비해 2.2배 높았고, 65세 이상 가구의 경우에도 빈곤위험이 1.9배였다. 경제위기를 전후한 빈곤의 성적격차의 역동적 변화를 분석한 결과, 경제위기 절정기에는 양성간에 빈곤의 보편화 현상을 보였으나, 남성가구주 가구가 경제위기에서 비교적 빠른 회복을 보이는 반면, 여성가구주 가구의 빈곤율은 경제위기 이전의 2/3 수준으로만 회복되며 빈곤 고착화 현상을 보여, 경제위기의 회복과정에서 성적 격차가 확대되었다. 또한, 빈곤의 영향요인 분석 결과, 성 자체 뿐만 아니라 성의 특성을 사회적으로 규정하는 교육수준, 취업상태 등의 요인들이 복합적으로 빈곤에 영향을 미치고 있음을 밝혔다. 이는 빈곤에 영향을 미치는 가족, 노동시장, 사회보장체계 등의 중층적 결절점에 성(gender)이 놓여져 있기 때문에, 성의 차원을 고려하지 않고서는 빈곤문제의 본질에 제대로 접근할 수 없음을 보여주는 것이다. 따라서 빈곤문제에 대한 효과적 접근을 위해서는 성적 차원을 고려한 여성친화적(women-friendly) 가족, 노동시장, 사회보장정책이 개발되고 채택되는 것이 필수적이다.

• 지역사회간호학회지
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• 제31권4호
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• pp.514-524
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• 2020

Purpose: The purpose of this study was to examine the relationship between working poverty and health status among Korean workers. Methods: This study is secondary analysis of data extracted from the 2018 Community Health Survey. For the present analysis, 23,575 of the working poor whose household disposable income is below 50.0% of the national median and 111,443 of the working nonpoor were selected. Based on existing literature, a set of variables were chosen from the Community Health Survey. Health status was measured using self-rated health status measure, Patient health Questionnire-9, and EuroQol-5dimension. Results: The proportion of subjective unhealthy status, depressive symptoms, and poor quality of life were significantly higher among the working poor than among the working nonpoor. After adjusting for general characteristics and health behavior factors, the working poverty was a significant predictor of subjective unhealthy status (AOR=1.32, 95% CI=1.25~1.40), depressive symptoms (AOR=1.61, 95% CI=1.38~1.88]), and poor quality of life (β=-0.02, p<.001). Conclusion: The current study confirmed the health disparities between the working poor and the working nonpoor. Therefore, health care programs and policies are required for reducing the health inequalities among the workers.