• 사회복지연구
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• 제47권4호
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• pp.43-69
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• 2016

본 연구는 유사한 소득수준을 가진 빈곤층이라고 하더라도 그들이 거주하고 있는 지역사회의 사회경제적 여건에 따라 생활실태에서 차이가 나타나는지를 탐색한 연구이다. 특히 빈곤한 지역에 거주하는 빈곤층에 초점을 두어, 중첩된 빈곤상태에 처하였을 때 이들의 이웃관계와 정신건강수준이 어떠한 결과를 보이는지를 확인하였다. 이를 위하여 2012년도 한국종합사회조사(94개 시 군 구, N=1,396) 자료를 활용하였고, 지역빈곤과 개인빈곤 간의 상호작용효과를 분석하는 데에 중점을 두었다. 분석 결과, 빈곤지역에 거주하는 빈곤층이 부유지역의 빈곤층보다 이웃 간의 유대에 있어 더욱 높은 수준의 이웃관계를 보고하였다. 나아가 중첩된 빈곤상태는 이들의 심리적 안녕감을 또한 높이는 기제로서, 빈곤한 지역사회가 빈곤층의 취약한 정신건강을 완충하는 지지기반이 됨을 보여주었다. 이를 통해 빈곤지역에서 빈곤한 주민들이 지니는 관계성의 의미를 논의하였으며, 그에 따른 실천적 함의를 제시하였다.

• Asian Journal of Business Environment
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• 제13권2호
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• pp.9-20
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• 2023

Purpose: This study aims to map the spatial distribution of poverty using nighttime light satellite images as a proxy indicator of economic activities and infrastructure distribution in D.I Yogyakarta, Indonesia. Research design, data, and methodology: This study uses official poverty statistics (National Socio-economic Survey (SUSENAS) and Poverty Database 2015) to compare satellite imagery's ability to identify poor urban areas in D.I Yogyakarta. National Socioeconomic Survey (SUSENAS), as poverty statistics at the macro level, uses expenditure to determine the poor in a region. Poverty Database 2015 (BDT 2015), as poverty statistics at the micro-level, uses asset ownership to determine the poor population in an area. Pearson correlation is used to identify the correlation among variables and construct a Support Vector Regression (SVR) model to estimate the poverty level at a granular level of 1 km x 1 km. Results: It is found that macro poverty level and moderate annual nighttime light intensity have a Pearson correlation of 74 percent. It is more significant than micro poverty, with the Pearson correlation being 49 percent in 2015. The SVR prediction model can achieve the root mean squared error (RMSE) of up to 8.48 percent on SUSENAS 2020 poverty data.Conclusion: Nighttime light satellite imagery data has potential benefits as alternative data to support regional poverty mapping, especially in urban areas. Using satellite imagery data is better at predicting regional poverty based on expenditure than asset ownership at the micro-level. Light intensity at night can better describe the use of electricity consumption for economic activities at night, which is captured in spending on electricity financing compared to asset ownership.

• 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.

• 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.

• The Journal of Asian Finance, Economics and Business
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• 제6권1호
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• pp.315-319
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• 2019

The paper aims to investigate empirical causes of poverty of the Khmer ethnic people and suggest policy implication to help the Khmer ethnic people escape poverty in Tra Vinh province and the Mekong Delta. The study has been conducted with direct interviews with 300 Khmer households living in seven districts and cities in Tra Vinh province and with the use of multivariate regression. The research results show that a number of causes that affect poverty of poor households include lack of capital for production, lack of means of production, poor health and lack of labor, large families, lack of job opportunities or unemployment, and lack of willingness to escape poverty and education. Thus, there should be poverty reduction policy for the poor househlods in the coming time. Based on the current situation and regression results, the authors propose a number of recommendations: 1) Focus on preferential loan policies for poor people 2) Provide occupational training programs for improving incomes for the Khmer ethnic households 3) Build up special infrastructure in the Khmer ethnic areas 4) Focus on promoting cultural and belief institutions in areas of the Khmer ethnic people and 5) Improve and build up healthcare clinics services and facilities.

• 한국사회복지학
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• 제60권4호
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• pp.205-230
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• 2008

빈곤은 개인 및 가구의 특성 뿐 아니라 거주 지역의 특성에 의해서도 규정되는 현상이라는 점에 주목하여, 본 연구는 수도권과 지방의 빈곤 격차의 양상 및 빈곤 결정에의 지역(수도권과 지방) 효과를 실증 분석하였다. 한국복지패널 2차년도 자료를 활용하여 수도권과 지방의 빈곤격차를 분석한 결과 다음과 같은 사실을 확인할 수 있었다. 첫째, 절대 빈곤 뿐 아니라 상대 빈곤 측면에서 빈곤은 수도권보다 지방에 편중되어 있었다. 지방을 보다 세분화하여 분석한 결과에서는 지방 대도시보다는 지방 중소도시에서, 지방 중소도시보다는 지방 군 지역에서 빈곤이 더욱 심각한 것으로 나타나, 지역 빈곤은 지역 발전 정도와 밀접한 관련이 있었다. 둘째, 수도권과 지방의 빈곤 분포를 보다 상세하게 분석한 결과, 동일한 인구학적 특성을 가진 경우라 할지라도 지방에 거주할 경우 빈곤율이 현저히 높게 나타나, 빈곤 구성에서 지역간 차이가 두드러짐을 확인할 수 있었다. 셋째, 빈곤결정에 거주지역(수도권/지방)의 영향을 분석한 결과, 지방 거주가 빈곤 확률을 높이는 지역 효과가 있음을 확인할 수 있었다. 넷째, 수도권과 지방의 빈곤 격차를 거주자의 특성 효과와 지역 효과(계수효과)로 분해한 결과, 빈곤 격차의 $49.2{\sim}73.7%$는 지역 효과에 의거한 것으로 확인되었다. 수도권과 지방의 빈곤 격차에 대한 본 연구의 분석결과는 한국사회의 빈곤문제 해소를 위해서는 지역적으로 차별화된 빈곤대책이 필요하다는 것을 보여주고 있다.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.433-442
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• 2020

This study investigates the impact of fiscal transfer, specifically the Village Fund Transfer, on rural income inequality and rural poverty. Studies on fiscal transfer offers contrasting outcomes, some argues that fiscal transfer suppresses wealth disparity, while others argue that it tends to widen disparity. This study employs descriptive analysis in estimating the elasticity of income inequality and poverty rate before and after the Village Fund Transfer. It develops multiple regressions model on panel datasets of 33 provinces in Indonesia before and after the implementation of Village Fund Transfer. This study suggests that the elasticity of income inequality is higher after the implementation of village fund transfer. Rural poverty tends to decline annually, however, the elasticity changes is lower after the implementation of village fund transfer. Furthermore, this study suggests that village fund transfer is insignificant in coping with the issue of income inequality, while education and the level of labor productivity of agricultural sector appears to be the determinant factor in tackling the issue of income inequality in the rural areas. This study further reveals the significance of village fund transfer in suppressing the rural poverty rate. This study also highlights the significance of human resources quality and agricultural sector in reducing poverty rate in rural areas.

• 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.

• 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.

• 사회복지연구
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• 제47권1호
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• pp.57-92
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• 2016

본 연구는 지역의 고용 구조와 빈곤과의 관계를 규명하고 이를 통해 빈곤정책의 효과를 높이기 위해서는 수급자 개인을 넘어 지역에 기반한 다양한 정책적 모색이 필요함을 제언하고자 한다. 본 연구는 소지역추정법을 통해 지역별 빈곤 공간분포와 지역의 다양한 특성과 빈곤과의 관계를 탐색한다는 측면에서 의의가 있다. 분석결과, 지역의 고용 및 산업 구조와 빈곤율의 관계는 밀접하게 관련이 있었다. 경제활동참가율과 고용율이 높을수록 지역 빈곤율은 낮아서, 최근 근로빈곤의 심각성을 시사하였다. 그리고 지역의 일자리 질은 부분적으로 지역의 빈곤율을 낮추는 효과가 있었다. 지역의 산업 구조와 빈곤율의 관계를 분석한 결과, 지역에 농업, 임업, 어업 종사인구가 많을수록 빈곤율은 높은 것으로 나타난 반면, 제조업, 도소매업, 숙박 및 음식점업 종사자 수와 비율은 빈곤율과 부적의 관계를 보여, 도시와 농산어촌 지역의 빈곤율 차이를 보여주었다. 그간 국내의 빈곤 연구들은 가구나 가구에 속한 개인에 초점을 맞추고 있어, 빈곤을 접근하는데 있어서 보다 거시적이고 구조적인 관점에서 접근하지 못하였다. 본 연구는 이와 같은 점에서 빈곤을 설명하는 시각을 더 넓히고 빈곤문제에 대해서 다양한 각도에서 접근할 필요성을 제시하고자 하였다.