한국보건사회연구원

As Korean society integrates more and more into the global village at large, the number of migrant children with Korean backgrounds and living outside Korea continues to grow. The double challenge of having to adapt to the new society and the new family environment complicates the prospects for these children growing into well-adapted and thriving citizens. This study sheds light on Korean migrant children who have returned, with their parents, to Yanbian in China and Vietnam - two major places of origin for many marriage immigrants.

Machine learning is a subfield of the growing research on artificial intelligence (AI). Specifically, it focuses on the development of algorithms and technology that enable computers to learn independently using data. Machine learning, widely regarded as instrumental in advancements in image processing, video and voice recognition, and Internet searches, has proven to be quite effective as a tool for anomaly prediction and detection.
Anomaly detection refers to the process by which one finds instances or data, out of a given pool, that diverge from expected patterns.
In this study, we define the concept of anomaly detection, after which we apply the anomaly detection methodology to the given sets of health and welfare policy data to perform an exploratory analysis. We discuss the issues involved in the application of anomaly detection and summarize the policy implications. The data subjected to our analysis include the fludeoxyglucose positron emission tomography (FDG-PET) data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), regarding health, and the results of the Elderly Survey 2017.

The purpose of this study is to analyze and determine the income-redistributing effects of income support policy programs for households with children in Korea. To this end, we analyzed the raw data of the Korean Welfare Panel Surveys and identified the redistribution effects of four specific income support programs for households with children: The Childcare Service Voucher (CSV), Home Care Allowance (HCA), Earned Income Tax Credit (EITC) and Child Tax Credit (CTC).

Our analysis reveals that the CSV has been most effective in reducing inequality. The relative extents of the inequality-reducing effects of individual programs likely reflect the scopes of those programs. Together with these findings, academic and policy implications are discussed.  

This study attempt to summarize the trajectory and achievements of the Korean welfare state since the days of democratization and the Asian Financial Crisis, and to discuss the path-dependent nature and limitations of such evolution, with a view to finding policy implications for the future growth of the Korean welfare state.
 

The report is an outcome of the Korea Institute for Health and Social Affairs (KIHASA)’s Social Cohesion Policy Assessment Program (SCPAP). We report on the main characteristics of Koreans’s Social Conflicts such as gender conflict, generation conflict, based on the Survey on Social Conflicts and Social Cohesion, Which interviewed a total of 3,873 men and women across Korea using a structured questionnaire. 

  People with disabilities have the right to optimum health and protection, the right not to be discriminated against, on the basis of their disabilities, in health and medical services, and the right to equal access to medical care along with people without disabilities.

  Active policy measures are needed to protect the right to health of people with disabilities by enhancing the accountability of related programs and enabling people with disabilities to overcome discrimination in relation to health in their local communities. 

This report provides a comprehensive analysis of Korea’s social service security from the policy and user’s perspectives. The security of social service is examined in terms of the inclusiveness of target population and program scopes, breadth and depth of services, and the need satisfaction rate.
Our analysis affirms the disparities in the security of social services among different age groups and needs. The need satisfaction rates remain low across service programs for all functions. The policy implications are provided regarding for what needs social services are to be increased more and for whom and how the services should be strengthened.
 

HIA programs have helped deepen the public’s understanding of health impacts and promote debates on ways to improve policies. As local governments in Korea step up their efforts to incorporate health impact assessment into all their policy initiatives with the goal of transforming their jurisdictions into healthy cities, it is important for the central government to expand the scope and reach
of its HIA Technical Support Program.
Our study confirms the need for more in-depth review of health impact factors with respect to groups that are at greater risk of health hazards, including stroller users, people with disabilities, and children. HIA programs can enhance decision makers and stakeholders’ participation and capabilities for public health.
 

The National Survey on Fertility, Family Health and Welfare (NSFFHW) has been conducted since 1960, and it asks the marital status, pregnancy and childbirth histories, and childcare behaviors of Korean women of childbearing age (15 to 49) and the marriage- and childbirth-related behaviors and attitudes of unmarried men and women aged 20 to 44 across Korea.  2018 NSFFHW, which was conducted for the 24th time in 2018, is also identified as Official Statistics Survey No. 331001.

The survey results demonstrate that married women increasingly perceive having and raising children as burdensome. Specifically, the financial burdens of raising and educating children and the challenges of maintaining work-life balance are the major factors significantly inhibiting childbirth. Greater efforts should be made to establish a culture in which it is safe to have and raise children, individuals’ choices are respected, gender roles are more equal, and families are respected and protected.