Regional Factors Influencing Non-Take-Up for Social Support in Korea Using a Spatial Regression Model
Dados Bibliográficos
| AUTOR(ES) | |
|---|---|
| AFILIAÇÃO(ÕES) | Department of Medical Humanities and Social Medicine, Ajou University School of Medicine, Suwon, South Korea, Department of Health Policy & Management, College of Health Science, Korea University, Seoul, South Korea, Social Security Information Institute, Korea Social Security Information Service, Seoul, South Korea |
| ANO | 2021 |
| TIPO | Artigo |
| PERIÓDICO | SAGE Open |
| ISSN | 2158-2440 |
| E-ISSN | 2158-2440 |
| EDITORA | SAGE Publications Inc. |
| DOI | 10.1177/21582440211061562 |
| ADICIONADO EM | 2025-08-18 |
Resumo
The purpose of this study is to analyze the influential factors of non-take-up citizens, who do not receive social benefits, to increase their discovery rate. A spatial regression model was used to analyze the variables affecting the discovery rates. As a result of the study, there was a difference in the percentage of welfare blind spots by region. In addition, when the proportion of the elderly population, the number of unemployment benefit recipients, etc. increased, that of welfare blind spots also increased; the lower the population density was, the higher the rate of increase in welfare blind spots became. Accordingly, in order to resolve the welfare blind spots at the local level, it is necessary to reinforce policy support for the elderly population and reduce the unemployment rate. Particularly, the policy will have to be prepared to resolve the welfare blind spots in rural areas with low population density.