• Title/Summary/Keyword: 중첩된 빈곤

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A Study on the Poor Residing in the Deprived Areas : Double Poverty, Neighborship, and Mental Health (빈곤한 지역사회에 거주하는 빈곤층의 실태에 대한 연구 : 중첩된 가난과 이웃관계, 그리고 정신건강)

  • Tak, Jang Han
    • Korean Journal of Social Welfare Studies
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    • v.47 no.4
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    • pp.43-69
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    • 2016
  • This study explored whether there are differences in the lives of the poor when they reside in areas with different socioeconomic conditions. Especially the poor living in areas with high poverty are the main focus here, so this study demonstrated their levels of neighborship and mental health. In order to analyze it, 2012 Korean General Society Survey(94 areas, 1,396 individuals) was used and the interaction effect between area poverty and individual poverty was found. As a result, the poor living in deprived areas reported higher social ties with neighbors than the poor living in wealthy areas. Furthermore, double poverty status also increased their psychological well-being level so that it suggested the poor community could be the supportive base for the poor in terms of mental health as well. The meanings of relationships the poor have in poor areas were discussed, and the implications were followed.

A Study on Multi-dimensional Poverty of Female Youth in Korea (우리나라 여성청년의 다차원적 빈곤에 관한 연구)

  • Yoo, Jiyoung
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.85-91
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    • 2019
  • Present study notes that youth poverty is not only an income deficit, but also a deficit in various dimensions of life such as housing, work and health deficit. Multidimensional poverty is measured by four dimensions: income, work, housing and health. The sample is a 2630 one-person household female youth pooled from the Korea Welfare Panel 10-Year Data. The analysis tool used SPSS statistical program, and the analysis framework was the deficiency rate by dimension, the correlation analysis between deficiency dimension, and the overlapping rate of N dimension poverty. As a result, women's youth in Korea had higher deficit rate in terms of work and housing than other dimensions, and the proportion of women youth who were both poor in work and housing at the same time was also relatively higher than in other cases. Based on these results, this study proposes the construction of customized job services, job matching with small and medium-sized enterprises and allocation of one young woman's household among the targets of long-term chartered housing. Female youth's sharing-economy association should be considered as alternatives.

A study on the Methodology of Extracting the Poor Deprived Districts by Using Geospatial Information (국토정보를 활용한 빈곤·취약지구 추출 방법에 관한 연구)

  • Lee, Hee-Yeon;An, Eun-Kyung
    • Journal of Cadastre & Land InformatiX
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    • v.46 no.2
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    • pp.5-25
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    • 2016
  • The purpose of this study develops the methodology to extract the poor deprived districts using the data from the national spatial data infrastructure portal. Particularly this study tries to select more acute indicators and to test the operability of such indicators. Also this study is focused on the versatile methodology that can be adjusted to incorporate alternative indicators that might be appropriate according to the hierarchy of the spatial unit. The indicator sets are composed of three dimensions: the poor class, the poor old housing, and poor residential neighborhood environment. Each representative indicator is selected based on the characteristics of the poor deprived districts. As a result, at the level of administrative Dong, key indicators for extracting the poor deprived districts are number of recipients of national basic living security per thousand persons and ratio of households living at old detached house. At the level of the national based zip code district, the ratio of buildings built on parcels located at roads below 4m in width, the ratio of small parcels below $60m^2$ and the ratio of poor old buildings are very important indicators. The result of grid analysis by overlaying the coverage of multiple indicators shows that relatively more vulnerable and deprived districts can be extracted at the small sub-district level. This study suggests the possibility to create the high value-added information, using the data from the national spatial data infrastructure portal. This methodology enables policymakers to select the priority target districts of poor deprived district more effectively.