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Effects of social assistance on self-rated health
Siqi Shao1, Tiantian Che2, Deshui Zhou3
1Liaoning Police College, Department of Public Security Management, Dalian, China.
Insights
Social assistance, including medical and life aid, negatively impacts self-rated health. These findings are consistent across various demographic groups and regions in China, highlighting the need for policy refinement.
Area of Science:
- Social Sciences
- Health Economics
- Public Health
Background:
- Social assistance programs are crucial for resident well-being.
- Understanding the nuanced effects of different assistance types on health is vital for policy development.
- Previous research has not fully explored the differential impacts of medical and life assistance on self-rated health.
Purpose of the Study:
- To empirically analyze the influence of medical assistance and life assistance on self-rated health in China.
- To investigate the heterogeneity of these influences across different demographic and regional groups.
- To provide evidence-based recommendations for optimizing social assistance policies.
Main Methods:
- Empirical analysis using the China Health and Retirement Longitudinal Study (CHARLS) data from 2018.
- Application of the Oprobit model for statistical analysis.
- Robustness checks including variable substitution and propensity score matching.
Main Results:
- Both medical assistance and life assistance demonstrate significant negative associations with self-rated health.
- The negative impact of medical assistance is more pronounced among urban residents and those in Central and East China.
- Life assistance shows a stronger negative effect on self-rated health in urban populations and residents of Central, East, and Northeast China.
Conclusions:
- Social assistance, while intended to support, may inadvertently decrease self-rated health.
- Targeted policy adjustments are needed to mitigate negative health impacts and enhance the effectiveness of social aid.
- Accurate utilization of medical and life assistance is essential for improving overall resident health outcomes.
Abstract:
Based on the China Health and Retirement Longitudinal Study (CHARLS) data in 2018, medical assistance and life assistance have significant negative influences on self-rated health, found via an empirical analysis based on the Oprobit model. Such negative influences are robust based on the substitution of explained variables and propensity score matching. It can be found from a heterogeneity analysis that the negative influences of medical assistance on self-rated health are more significant in urban residents and residents in Central China and East China. Meanwhile, negative influences of life assistance on self-rated health are more significant in urban residents, and residents in Central China, East China, and Northeast China. This study provides empirical evidence to improve the health of residents by using medical assistance and life assistance accurately and offers important policy enlightenments to formulate appropriate social assistance policies.
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