2750. Aging Welfare Policies in the UK and South Korea: Diverging Paths of Individual Responsibility and State Intervention
Invited abstract in session MC-49: Analytics and the link with stochastic dynamics 1, stream Analytics.
Monday, 12:30-14:00Room: Parkinson B10
Authors (first author is the speaker)
| 1. | Jisu Kang
|
| MIS, Dong-A University | |
| 2. | Kangbae Lee
|
| Management Information Systems, Dong-A University | |
| 3. | MINHO RYU
|
| MIS, Dong-A University | |
| 4. | Sungho Park
|
| MIS, Donga unversity | |
| 5. | Ham Seunghoon
|
| MIS, DongA-university | |
| 6. | Jeeseung Han
|
| MIS, | |
| 7. | Hyeonji Hwang
|
| MIS, Dong-A University | |
| 8. | Siyeon Lee
|
| Management Information System, Dong-A University |
Abstract
This study compares welfare policy changes in response to population aging in the UK and South Korea. Despite similar demographic challenges, these countries have pursued contrasting approaches shaped by their distinct socio-cultural contexts. The UK shifted from post-war welfare expansion toward neoliberal reforms emphasizing individual responsibility and market solutions. South Korea transitioned from family-centered care to state-led welfare expansion, notably through long-term care insurance introduction.
The UK's reforms prioritized cost reduction and efficiency through healthcare and pension privatization, achieving fiscal objectives but creating increased social inequalities and individual welfare burdens. South Korea's approach institutionalized state responsibility through social insurance expansion, responding to rapid family structure changes. However, significant family financial burdens and regional service disparities remain challenging.
These contrasting trajectories offer valuable insights for other welfare states. The UK case demonstrates both benefits and limitations of market-centered approaches, while South Korea illustrates possibilities and sustainability concerns of state welfare expansion. The comparison reveals that effective aging policy requires balancing individual responsibility with collective support, suggesting the need for continuous institutional adaptation and social consensus-building in addressing demographic transitions.
Keywords
- Analytics and Data Science
- Artificial Intelligence
- Complex Societal Problems
Status: accepted
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