한국보건사회연구원

This research predicts welfare demands of the reunified Korea based on scrutinizing the current welfare condition in North Korea and explores the means through which inter-Korean integration can be fully realized by improving the quality of life of the people of the two Koreas.
The results holistically show high levels of demand in all areas of welfare and the reasons might pertain to insufficient social services they were provided with. This result implies a surge of welfare needs from people of the North after unification and is indicative of their high demands of social services.

Whereas the income poverty rate among Korean seniors reached around 46 percent as of 2015, according to the OECD’s standard, about 45 percent of income-deprived seniors (nearly 21 percent of all seniors) were multidimensionally poor seniors deprived in terms of assets, housing, or both, in addition to being deprived in terms of income.
Concerning the question as to whether half of all Korean seniors are as poor as the OECD’s relative poverty standard indicates, based upon our analysis, we can say that they are not, at least from a multidimensional perspective on poverty. Policymakers thus need to revisit and consider whether they should prioritize all seniors categorized as poor under the OECD’s standard as primary targets of policy efforts to alleviate poverty.  

 

Social welfare policy should cope flexibly with the changes in people's economic status, consumption expenditures, value judgments, and the status of economy-wide income distribution, poverty and inequality. However, existing cross-sectional survey data are not suffice to analyze the socio-economic dynamics because their inability to identify the age effect and the cohort effect. In order to overcome such limitations, Korea Institute for Health and Social Affairs (KIHASA) and Seoul National University (SNU) begun ‘Korea Welfare Panel Study (KOWEPS)’ in 2006.

 In 2017, 12th wave of KOWEPS has carried out. The descriptive report provides a wide variety of contents about the general features, economic conditions, employment status, social security, welfare needs and special topic for the 12th year survey. And this descriptive report provides some results from longitudinal analysis. The results could be a reference for the researchers who try to use KOWEPS.  

This 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 the Koreans’ psychosocial states, levels of trust, and perceptions of fairness and conflicts, based on the Survey on Social Problems and Social Cohesion, which interviewed a total of 3,839 men and women across Korea using a structured questionnaire. 

A decade has passed since the Korea Health Panel was first introduced with the aim of producing data and information on Koreans’ utilization of healthcare services and spending. In this report, we reviewed the achievements of the first Korea Health Panel and discussed reforming plan and main tasks for establishing 2nd Korea Health panel.
 

 

Young people of Korea still have a lower poverty rate than other age groups, but in light of the labor market situation, youth poverty may become a serious social problem in the future. Therefore, it is necessary to analyze the poverty situation of Korean young people more deeply and to call attention to the policy interest.
Through the multidimensional approach to poverty, we analyze the multidimensional poverty characteristics of Korean youth and identify the differences from those of income poverty. Finally, the direction of future youth policies re presented.

 

 

The core technology of the Fourth Industrial Revolution is artificial intelligence and big data, and the continuous enhancement of algorithm performance through Machine Learning based on large scale accumulated data is an mportant source technology in all fields. Machine Learning is a field of AI that develops algorithms and techniques that enable computers to learn based on data. It is a core technology in various fields such as image processing, image recognition, speech recognition, and Internet search. The results show excellent performance in predication.
In this study, we study the characteristics of Social Security Big Data which is being produced in Korea and study Machine Learning statistical techniques. We design a Machine Learning-based prediction model suitable for Social Security Big Data analysis and present a methodology that can be applied to evidence-based research. Machine Learning-based prediction model can provide a basis for presenting academic and policy implications by ontributing to the utilization of data and making various analysis possible to derive new value. Machine learning can be applied to the field of social policy in which vast amounts of data are accumulated, and Machine Learning-based statistical analysis will be able to approach the predictable customized welfare.

 

The survey revealed that there were 2.67 million people with disabilities in South Korea, and the disability incidence rate estimated on the basis of this number was 5.39 percent.
Income security was the welfare service and assistance that people with disabilities needed most, followed by healthcare, employment support.

 

The 2017 National Survey of Older Persons is an important source of data and information necessary to devise policy measures that will improve seniors’ quality of life and better cope with population aging in the future.
The Survey took place through in-person interviews, involving 10,299 seniors aged 65 or older (including 226 representatives) from June 12 to August 28, 2017. Questionnaire covers diverse aspects of living profiles nd welfare service needs of older persons.