• 사회복지연구
• /
• 제40권1호
• /
• pp.115-138
• /
• 2009

본 연구의 목적은 자산빈곤층의 특성을 이해하고 자산빈곤이행(移行) 가능성에 영향을 미치는 요인을 실증적으로 알아보는 것이다. 이를 위해 본 연구에서는 한국노동패널자료를 분석자료로 이용하여 생존분석을 실시하였다. 자료분석 결과, 자산빈곤가구는 소득빈곤가구에 비해 빈곤지속기간이 길고, 빈곤탈피율이 낮으며 빈곤에 더 오래 머물러 있을 가능성이 높은 것으로 나타났다. 또한 시간의존 콕스회귀분석 결과, 가구주의 교육수준이 높고 소득 수준이 높으며, 비정규직에 비해 정규직일수록 자산빈곤을 조기에 탈피할 확률이 높은 것으로 나타났다. 이러한 연구결과를 바탕으로 기존의 빈곤정책과 함께 자산빈곤층의 자산을 형성하기 위한 제도적 지원이 필요하며, 국내에서 자산형성 지원사업이 시행이 된다면 좀 더 높은 수준의 교육을 받거나, 직무 능력 향상을 통해 안정적인 일자리(decent job)를 얻는 능력을 갖추는데 정책의 초점이 맞추어져야 할 것임을 제안한다.

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

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

• 한국지리정보학회지
• /
• 제5권3호
• /
• pp.55-67
• /
• 2002

자산관리 및 자산매핑은 공학, 산업, 경영 및 금융등 여러 분야에서 관심 있게 연구되고 실무에 활용되고 있지만 각기 다른 차원에서 해석되고 있다. 대부분 물리적, 자원적 그리고 디지털 자산에 대한 관리 및 운영 그리고 유지보수에 상당한 연구성과가 있지만, 개인, 가구 또는 사회가 근본적으로 필요로 하는 여러가지의 유형 및 무형자산에 대한 관리는 기존의 자산관리 개념으로는 한계가 있는 듯 싶다. 본 연구에서는 개념적 핵사드 자산모델 제시하고 자산증가, 감소 등 여러 변화를 설명할 수 있는 기하학적 표현을 시도하였다. 특히 물리적 및 자연적 자산이 가난을 벗어나게 할 수 있는 중요한 요소로 판단되어 3차원적 수치지도를 자산관리에 도입하고 또한 가난정보구축을 지원할 수 있는 새로운 접근의 자산기반 정보를 소개하였다.

• Human Ecology Research
• /
• 제55권3호
• /
• pp.321-336
• /
• 2017

This study examines the effect of family resources on low-income families by exploring their holistic experience of poverty to the formation of resilience. A grounded theory approach is utilized to structure process from their experience of poverty as well as the use of social welfare services to the formation of resilience. This study targets 17 families involved in the pilot project for the beneficiaries of an asset building program in Seoul. In accordance with open coding and a paradigm model by the result of axial coding, 86 concepts, 23 sub-category, and nine categories are produced. These categories are classified into the causal condition (a tough life due to poverty), contextual condition (being the recipient of an asset building program), intervening conditions (interpersonal resources and effects of accumulated time or experience), central phenomenon (a will to live and overcome poverty), actions/interactions (active behavior and change of attitude), and consequences (change of asset levels and increased efficacy in their lives). The integrating categories identify the core category as 'the process of making a resilient life out of the power to live' and a final process model is organized. The results suggest crucial implications to develop comprehensive policies to address poverty issues for low-income families with a strength-based approach.

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

• 소비문화연구
• /
• 제15권2호
• /
• pp.213-247
• /
• 2012

본 연구는 저소득층 가계의 소득구조, 자산구조 및 지출구조의 경제구조를 분석하고, 이를 토대로 저소득층 가계의 경제적 복지를 위한 정책을 제언하고자 하였다. 이를 위해 2009년도 한국복지패널조사(KOWEPS) 자료를 토대로 실증분석을 실시하였다. 실증분석 결과, 소득구조의 경우, 저소득층 가계는 근로소득, 사업·부업소득 및 재산소득 규모가 적었고, 이전소득 규모는 컸다. 한편 저소득층 가계는 사적이전소득 규모가 적었고, 공적이전소득 규모는 컸다. 저소득층 가계는 이전소득 비중이 가장 많았고, 공적이전소득 비중이 사적이전소득 비중보다 많았으며, 공적이전소득 중 정부보조금 비중이 가장 많았다. 극빈곤층 가계는 근로소득, 금융소득 및 사적이전소득 규모가 가장 작은 반면에, 공적이전소득 규모가 가장 컸고, 빈곤층 가계는 이전소득 규모가 가장 작았다. 극빈곤층, 빈곤층 및 차상위층 가계 모두 이전소득 비중이 가장 높았다. 자산구조의 경우, 모든 자산종류에서 저소득층 가계는 그 규모가 작았지만 특히, 금융자산 및 기타자산 규모가 작았다. 자산종류별 구성비는 저소득층 가계는 총부채 비중이 가장 높았고, 주택자산 비중은 높은 반면에 부동산자산, 기타자산 및 금융자산 비중은 낮았다. 모든 자산종류에서 극빈곤층 가계가 차상위층 가계에 비해 그 규모가 작았다. 세 가계집단 모두 주택자산 비중이 가장 높았지만, 그 중 극빈곤층 가계의 비중이 가장 높았다. 지출구조의 경우, 모든 지출비목에서 저소득층 가계는 그 규모가 작았다. 저소득층 가계는 식료품 비중이 가장 컸고, 그 다음으로 기타소비 비중이었다. 대부분의 지출비목에서 차상위층 가계보다 극빈곤층 가계의 지출 규모가 작았으나, 월세 규모는 극빈곤층 가계가 빈곤층 가계나 차상위층 가계보다 컸다. 세 가계집단 모두 식료품 비중이 가장 컸고, 그 다음이 기타소비였다. 한편 식료품, 월세 및 광열수도 비중은 극빈곤층 가계가 차상위층 가계보다 높았다.

• The Journal of Asian Finance, Economics and Business
• /
• 제4권4호
• /
• pp.5-15
• /
• 2017

The Northern States of Malaysia comprises of four states (Penang, Kedah, Perlis and Perak) still record high poverty incidence eventhough Malaysia has experienced a remarkable reduction of poverty over the past century. Economic activities in Perlis and Kedah that are predominantly agriculture in the rural area contribute to this disparity. To add, rural households are also subject to risks and uncertainties that make them more vulnerable to poverty. This study examines the impact of risks and assets on households' vulnerability to poverty. A survey of 400 respondents was conducted in December 2015 in the northern region of Malaysia. From these 400 questionnaires, only 298 were considered valid and used in the analysis. Using a logistic probability function, the results indicated that risks are not a significant threat to households. Gender and strata are crucial elements that significantly determine households' vulnerability. While human capital and financial capital significantly reduce households' vulnerability to poverty, physical and natural capitals were not statistically significant. The study suggests that the government and practitioners design strategies and policies with an assets-based approach. The asset-based approach is more appropriate for linking the causes of poverty to vulnerability.

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

• KDI Journal of Economic Policy
• /
• 제28권2호
• /
• pp.199-237
• /
• 2006

지금까지 밝혀진 실증적인 성장과 분배의 관계는, 성장은 평균적으로 분배중립적으로 분배에 특정한 형태의 영향을 미친다는 실증적 증거는 없으며, 높은 부의 불평등도는 성장을 저해한다는 점이다. 한편 성장과 분배는 모두 빈곤에 이론적 실증적으로 영향을 미친다. 따라서 빈곤의 감소를 위해서는 성장과 분배의 정책적 조합이 필요하므로 성장과 분배의 이분법은 잘못된 것이다. 현 시점에서 한국이 성장과 분배의 조화를 통해 절대빈곤을 감소시키기 위해서는 세계은행에서 권장하는 빈곤감소적 성장을 추구할 필요가 있다. 한편, 절대적 빈곤과 절대적 불평등도는 음의 상관관계에 있기 때문에 양극화의 논의가 절대적 불평등도를 감소시키자는 정책으로 진행되어서는 절대빈곤의 감소를 기대하기 어려울 것이다.