• 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.

• 한국산업정보학회논문지
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• 제23권3호
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• pp.131-142
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• 2018

Since income growth rate and poverty level are related, there is a possibility that the poverty rate may converge in the long run steady state as well. If the poverty rate converges, then for this study the state that begins with the high poverty rate would have a higher poverty reduction rate. To examine the convergence of poverty rate among the US states, this study uses two times series methodologies. First, in order to prevent the power loss from ignoring the structural break when testing for a unit root in a single time series, this study employs the newly developed panel LM unit root tests with level and trend shifts. The results of unit root tests of the log of poverty rate without allowing for structural breaks show that twenty six states reject the null hypothesis of unit root test for the ADF test, twenty five states for the LM test, and thirty five states for the RALS-LM test. The result of unit root tests that allow one structural break shows that the null hypothesis of a unit root test is rejected for twenty two states with the LM test, and thirty three states with the RALS-LM test. This supports poverty rates are converging among US states.

• 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.

• 한국아동복지학
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• 제36호
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• pp.65-99
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• 2011

본 연구는 OECD 국가를 대상으로 복지국가의 아동 가족복지지출과 아동빈곤율의 관계를 분석한 탐색적 연구이다. 아동 가족복지지출은 복지국가의 아동 가족을 대상으로 한 복지 노력(welfare effort)을 나타내는 지표이며, 본 연구에서는 아동 가족복지지출 총량뿐 아니라 아동 가족을 대상으로 한 다양한 분야의 복지지출을 구분해서 분석함으로써 아동 가족에 대한 구체적인 복지국가의 복지노력과 아동빈곤율의 관계를 분석하였다. 본 연구에서 사용된 아동빈곤율 자료는 LIS와 OECD에서 계산한 데이터를 이용하였고 아동 가족복지지출 자료는 OECD SOCX 자료를 활용하였으며 23개국을 대상으로 상관관계 군집분석 방법을 이용하여 분석하였다. 이 분석을 통해 아동빈곤율에 대한 급여전략(benefit strategy)과 근로전략(work strategy)의 유효성을 파악할 수 있었다. 아동빈곤율이 높은 국가들은 대부분 전체빈곤율보다 아동빈곤율 수치가 더 높은 반면, 스칸디나비아 국가들은 아동빈곤율 수준이 전체빈곤율 수준보다 낮았다. 아동 가족복지총지출과 아동빈곤율의 상관관계는 매우 높았고, 특히 서비스지출, 휴가급여지출과의 상관관계가 높았으나 현금급여지출과 아동빈곤율의 상관관계는 통계적으로 유의미하지 않았다. 이상의 결과를 통해 우리나라 아동빈곤율 완화를 위해서는 무엇보다 아동 가족 분야 사회복지 예산과 지출을 증가시켜야 하며, 아동 가족복지지출 중에서도 서비스지출, 휴가급여지출을 증대시켜야 하며, 아동이 있는 가구 부모의 경제활동을 지원하는 적극적노동시장 정책 등 아동가구 부모에 대한 근로지원정책을 확대시켜야 한다는 정책적 함의를 도출할 수 있었다.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.229-239
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• 2020

This article aims to measure the impact of economic growth and urbanization on poverty reduction in Vietnam, and verify whether economic growth and urbanization will help reduce poverty rates. Data for this study are tabular data related to growth, urbanization and poverty at the provincial level for the period of nine years, from 2006 to 2014 provided by the Vietnam General Statistics Office and the Vietnam General Department of Customs. The level of economic growth and urbanization mentioned in the study is reflected in such indicators as GDP value, exports value, imports value, urbanization rate and employment rate. The authors used logistic regression models with fixed-effects and logistic regression models with random effects. With 5% confidence level tested by the Chi-Square test of Hausman trial with the fixed-effect model, research results show that: (1) factors with significant negative impact on the poverty rate include imports value, urbanization rate and, employment rate; (2) factors that do not affect the poverty rate include exports value and GDP value. Based on the research results, this study proposes a number of policy recommendations to help promote economic growth, to sustain the urbanization process, and to contribute directly and positively to poverty reduction in Vietnam.

• 사회복지연구
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• 제44권3호
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• pp.301-322
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• 2013

본 연구는 한국노동패널조사의 1~11차 년도(1998~2008년) 자료를 이용하여 가구특성과 빈곤지속기간이 빈곤탈피에 미치는 영향을 분석하였다. 특히 빈곤지속기간이 경과할수록 빈곤탈피율이 낮아지는 현상이 진정한 지속기간의존성에 의한 것인지 또는 표본이질성에 기인한 것인지를 검증하고 비관찰 이질성을 통제할 때 독립변수의 영향력이 어떻게 달라지는지를 분석하는데 초점을 두었다. 관찰 비관찰 이질성을 통제하면 지속기간의존성이 대부분 사라진다는 분석결과는 겉으로 보이는 지속기간의존성이 사실은 표본이질성으로 인한 가식적 관계임을 의미한다. 또한 비관찰 이질성을 통제한 모형에서는 가구특성의 영향력이 더욱 커졌다. 연령, 교육수준, 가구형태, 가구원 수 등의 인구 사회적 특성과 취업상태 및 종사상 지위 등 경제활동 특성이 빈곤탈피율에 영향을 미친다.

• 한국사회복지학
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• 제56권4호
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• pp.57-78
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• 2004

외환위기와 함께 본격적으로 등장한 빈곤문제가 위기의 진정에도 불구하고 위기 이전 수준으로 대폭 감소되지 않을까? 본 연구는 가구소비실태조사 자료를 이용한 1990년대 이후 빈곤추이 분석을 통해 이러한 물음에 답한다. 1990년대 전반기는 급속한 빈곤 감소를 특징으로 한다. 이 시기의 빈곤 감소에는 경제성장이 결정적인 요인으로 작용하였고 소득불평등도의 완화 또한 영향을 미쳤다. 1990년 후반에는 빈곤율이 크게 높아졌다. 경제성장의 침체로 소득수준은 감소하거나 정체상태에 머무른 한편, 소득불평등도가 증대되고 빈곤취약가구가 증가하는 인구학적 변화가 일어나 빈곤 증대를 초래하였다. 이러한 추이에는 주로는 경제활동을 수행하는 성인의 소득격차 확대가, 부차적으로는 노인가구의 증대가 영향을 미쳤다. 절대빈곤의 추이에서는 경제성장의 영향이 주로 부각되고, 상대빈곤의 추이에서는 분배구조 변화의 역할이 크게 나타난다. 준절대빈곤의 경우 1990년대 전반부에는 경제성장으로 상당한 빈곤감소가 발생하고 후반부에는 소득불평등 악화와 경제성장 정체로 빈곤증가가 이루어진 것으로 나타났다.

• 보건교육건강증진학회지
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• 제32권5호
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• pp.43-51
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• 2015

Objectives: Socioeconomic factors are one of the significant factors explaining drinking problems in our society. From the poverty and inequality perspective, not only absolute poverty but perceived level of poverty or inequality has a direct effect on one's health and health behaviors. The purpose of the study is to explore the growth trajectories of problem drinking in Korea in relation to poverty and perceived income. Methods: Data from 13,414 adults were analyzed using 4 years of data (2010 to 2014) from the Korea Welfare Panel. Main variables included poverty status, perceived income inequality, and problem drinking. A latent growth modeling was employed for the analysis. Results: The non-poverty group had higher initial level of problem drinking; however, the poverty group showed higher rate of increase in problem drinking rate. The perceived income inequality had no significant influence on the initial level, but over time, those with higher level of perceived income inequality showed higher rate of increase in problem drinking. Conclusions: Findings showed that poverty and inequality affect changes in problem drinking. Efforts to prevent and decrease problems related to alcohol should not only focus on changing individuals' behavior but also on decreasing the inequality gap.

• International Journal of Advanced Culture Technology
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• 제10권2호
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• pp.28-33
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• 2022

This study aims to investigate factors that affect elderly poverty based on a comprehensive and universal perspective, suggesting some alternatives for improving the poverty rate of the elderly. The comprehensive and universal approach to the poverty of the aged that this study attempts can give a better understanding of the elderly poverty beyond the contribution of the existing literature, with the research model including individual, family, labor, and income factors as the causes of old-age poverty from the comprehensive and universal perspective on the causes of poverty of the elderly. In addition, the study attempts to input variants of variables into the equation for the causes of elderly poverty by using panel data from the 8th Korean Retirement and Income Study. This study employs decision tree analysis to determine the cause of the poverty of the elderly using CHAID. The decision tree analysis shows that the most vital variable affecting elderly poverty is making income. For the poor elderly without earned income, public pensions, educational careers, and residential areas influence elderly poverty, but for the poor elderly with earned income, wage earners and gender are variables that affect poverty. This study suggests some alternatives to improve the poverty rate of the aged. The government should create a better working environment such as senior re-employment for old people to be able to participate in economic activities, improve public pension or social security for workers with unfavorable conditions for public security of old age, and give companies that create employment of the aged diverse incentives.

• 유통과학연구
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• 제17권3호
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• pp.21-30
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• 2019

Purpose - While many related prior studies have focused on the segregation by race and ethnicity, the academic interest in the separation of residence by income and social class is gradually increasing. This study aims to not only investigate spatial pattern of economic segregation and poverty rate in South Korea, but also shed light on what affect residential distribution of the poor. Research design, data, and methodology - The unit of analysis is Si-Gun-Gu municipal level entities of South Korea. Most demographic, socioeconomic, and residential variables were derived from Korean Census Data in 2015. In order to examine spatial patterns of economic segregation and poverty rate in South Korea, a series of measurements and visualization was conducted through the Geo-Segregation Analyzer and ArcGIS programs. Determinants of economic segregation and local poverty rates were investigated by regression analyses using STATA. Results - The spatial patterns of areas with high poverty rates were extremely clustered, while the distribution of areas with high economic segregation was relatively evenly distributed. Demographic, residential, and local factors appeared to affect whether the poor live in particular area or spread evenly. Conclusions - The factors that raise the poverty rate result in lower level of economic segregation, while factors that reduce the poverty rate lead to severe level of economic segregation.