老龄化背景下北京市医疗保障与养老保障协同度分析
Analysis of the synergy degree between medical security and pension security in Beijing under the background of aging
郑锦轩 1曾雁冰1
作者信息
- 1. 首都医科大学公共卫生学院 北京 100069
- 折叠
摘要
目的:分析北京市医疗保障与养老保障协同关系,为老龄化背景下推进医疗与养老保障协同发展提供决策依据.方法:利用北京市医疗保障与养老保障相关指标数据构建复合协同度模型,测算北京市医疗保障与养老保障系统有序度与复合系统协同度.结果:2021 年,北京市城镇职工医疗保障有序度为0.881,养老保障有序度为0.629,复合协同度为0.051;城乡居民医疗保障有序度为0.796,养老保障有序度为0.544,复合协同度为-0.056.结论:北京市医疗保障与养老保障发展速度与规模不同步,两系统互相影响且复合协同度有待提升,北京市城镇职工复合系统协同度明显高于城乡居民复合系统协同度.建议从保险覆盖、待遇支付、经费保障与改善基金收支状况以及服务资源利用等层面提升北京市医疗保障与养老保障复合协同度.
Abstract
Objective:To analyze the synergistic relationship between medical security and pension security in Beijing,and to provide a decision basis for promoting the coordinated development of medical security and pension security under the background of aging.Methods:The index data of Beijing medical security and pension security is used to calculate the degree of the order and the synergy of Beijing medical security and pension security system.Results:In 2021,the order degree of medical security for urban workers in Beijing was 0.881,the order degree of old-age security was 0.629,and synergy degree was 0.051;the order degree of medical security for urban and rural residents was 0.796,the order degree of of old-age security was 0.544,and the synergy degree was-0.056.Conclusion:The development speed and scale of medical security and old-age security in Beijing are not synchronized,and the two systems influence each other and the synergy degree needs to be improved.The synergy degree of urban workers in Beijing is significantly higher than that of urban and rural residents.It is suggested to enhance the synergy degree of medical security and pension security in Beijing from the aspects of insurance coverage,treatment and payment,fund guarantee and improvement of fund income and expenditure,and the utilization of service resources.
关键词
医疗保障/养老保障/复合协同度模型Key words
Medical security/Pension security/Composite system synergy model引用本文复制引用
基金项目
北京市社会科学基金决策咨询重点项目(22JCB038)
出版年
2024
NETL
NSTL
维普
万方数据