| 刘畅,杨慧兰.基于DEA-Malmquist指数方法及秩和比法的我国城乡居民医疗保险基金动态效率分析[J].中国医药导报,2024,21(3):187-191 |
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| 基于DEA-Malmquist指数方法及秩和比法的我国城乡居民医疗保险基金动态效率分析 |
| Dynamic efficiency analysis of medical insurance fund for urban and rural residents based on DEA-Malmquist index method and rank-sum ratio method |
| 收稿日期：2023-06-09 |
| DOI：10.20047/j.issn1673-7210.2024.03.40 |
| 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: |
| 基金项目:内蒙古自治区教育厅人文社科重点项目（NJSZ22687） |
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| 摘要点击次数: 390 |
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| 摘要:目的 以2017—2021年度全国31个省（区、市）的城乡居民医保基金面上数据为基础，对城乡居民医保基金进行动态效率评价。 方法 从《中国统计年鉴》收集2017—2021年度全国31个省（区、市）的城乡居民医保基金的参保人数、基金收入、基金支出、基金累计结余和人均补偿金额相关统计数据，利用DEA-Malmquist指数方法和秩和比法（RSR）综合评价城乡居民医保基金运行效率。 结果 2017—2021年全国居民医保基金全要素生产率均值为0.894，东部＞中部＞西部，技术进步变化指数均值为0.875（＜1），技术效率指数均值为1.021。RSR法排序分档结果为好、中、差三档，其中，北京、陕西、海南、安徽和贵州的居民医保基金综合水平最高，黑龙江、广西、西藏和青海的医保基金综合水平最低，大部分省（区、市）医保基金运行水平分档等级处于中档。回归结果显示，回归方程y=-0.329+0.156×Probit（F=473.94，P＜0.05，R2=0.942），模型表现较为优秀。 结论 技术进步指数下降是导致居民医保基金全要素生产率低的主要原因，且居民医保基金运行效率存在较大的区域差异。应提高医疗保险基金管理的专业化、规范化水平，提高基金运行的整体效益。 |
| Abstract: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 residents’ 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. |
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