首页|我国养老机构服务效率测度及提升路径研究——基于三阶段DEA和Malmquist指数的实证分析

我国养老机构服务效率测度及提升路径研究——基于三阶段DEA和Malmquist指数的实证分析

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科学评估养老机构服务效率是优化养老资源配置和完善养老服务体系建设的基础.以我国 29个省(区、市)为研究对象,基于2018-2022 年《中国民政统计年鉴》和《中国统计年鉴》的数据,运用三阶段DEA模型和Malmquist指数模型,对养老机构服务的静态与动态效率测度进行分析.研究表明,养老机构服务效率逐年提升,但仍有改善空间.综合技术效率均值由 0.794 下降到 0.726,受到外部环境因素的影响;技术进步是制约养老机构服务效率的主要原因.因此,要调整投入生产规模,重视环境因素影响,实施差异化的效率提升策略,以技术进步为发展重心,进而提高养老机构服务效率.
Research on Service Efficiency Measurement of Pension Institutions in China—Empirical Analysis Based on the Three-stage DEA Model and Malmquist Index
Scientific evaluation on the service efficiency of pension institutions is important for optimizing the allocation of pension resources and improving the construction of pension service system.Taking twenty-nine prov-inces or municipalities or autonomous regions in China as the research objects,the researchers use the three-stage DEA model and Malmquist index to conduct analysis on the static and dynamic service efficiency measurement of pension institutions with the data from China Civil Affairs Statistical Yearbook and China Statistical Yearbook in 2018-2022.The result shows that the service efficiency of pension institutions has been improving year by year,but there is still room for improvement.Meanwhile,the average value of comprehensive technical efficiency affected by external environmental factors decreases from 0.794 to 0.726,and technological progress becomes the key factor restricting the service efficiency of pension institutions.Therefore,this research finally suggests that pension institu-tions should focus on technological progress for development,adjust the scale of production,give attention to envi-ronmental factors,and implement differentiated efficiency improvement strategies to improve service efficiency.

pension institutionefficiency measurementthree-stage DEA modelMalmquist index

马广博、丁小云

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安徽财经大学 财政与公共管理学院,安徽 蚌埠 233030

养老机构 效率测度 三阶段DEA模型 Malmquist指数

国家社会科学基金项目安徽财经大学研究生科研创新基金项目

21BRK023ACYC2023036

2024

洛阳师范学院学报
洛阳师范学院

洛阳师范学院学报

CHSSCD
影响因子:0.219
ISSN:1009-4970
年,卷(期):2024.43(7)