Liaoning Police College, Department of Public Security Management, Dalian, China.
Dongbei University of Finance and Economics, Dalian, China.
Front Public Health. 2022 Oct 20;10:918323. doi: 10.3389/fpubh.2022.918323. eCollection 2022.
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 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.
基于中国健康与养老追踪调查（CHARLS）2018 年的数据，通过 Oprobit 模型进行实证分析发现，医疗救助和生活救助对自评健康有显著的负向影响。这种负向影响在替换解释变量和倾向得分匹配后仍然稳健。通过异质性分析发现，医疗救助对自评健康的负向影响在城镇居民和中东部地区居民中更为显著，而生活救助对自评健康的负向影响在城镇居民和中东部、东北地区居民中更为显著。本研究为通过精准使用医疗救助和生活救助来提高居民健康水平提供了经验证据，并为制定适当的社会救助政策提供了重要的政策启示。
