Objective To evaluate the dynamic efficiency of the urban and rural residents'medical insurance fund,based on the data of the urban and rural residents'medical insurance fund in 31 provinces(autonomous regions and municipalities)from 2017 to 2021.Methods Statistical data on the number of insured persons,fund income,fund expenditure,accumulated fund balance,and per capita compensation amount of the medical insurance fund for urban and rural residents in 31 provinces(autonomous regions and municipalities)were collected from China Statistical Yearbook during 2017 and 2021.The DEA-Malmquist index method and rank-sum ratio(RSR)were used to evaluate the operational efficiency of the medical insurance fund for urban and rural residents.Results From 2017 to 2021,the average total factor productivity of the national medical insurance fund was 0.894,the eastern region＞the central region＞the western region,the average technological progress change index was 0.875(＜1),and the average technical efficiency index was 1.021.RSR ranking results were good,medium and poor,among which Beijing,Shaanxi,Hainan,Anhui and Guizhou have the highest comprehensive level of medical insurance funds,Heilongjiang,Guangxi,Tibet,and Qinghai had the lowest comprehensive level of medical insurance funds,and most provinces(autonomous regions and municipalities)are in the middle level of medical insurance fund operation.The regression results showed that the regression equation y=-0.329+ 0.156×Probit(F=473.94,P＜0.05,R2=0.942),the model had a good performance.Conclusion The decline of technological progress index is the main reason for the low total factor productivity of re sidents'medical insurance funds,and there is a large regional difference in the operating efficiency of residents'medical insurance funds.The prof-essionalization and standardization of medical insurance fund management should be improved to improve the overall benefit of fund operation.
关键词
城乡居民医保基金/动态效率/全要素生产率/秩和比法
Key words
Urban and rural residential medical insurance funds/Dynamic efficiency/Total factor productivity/Rank-sum ratio method
维普
万方数据