摘要
本文利用贵州省2007年至2019年的医疗卫生支出数据,运用DEA数据包络分析法测算各年间政府对医疗机构投入产出效率,并建立灰色关联度模型分析不同时期影响各地区医疗机构效率的因素。研究结果表明:贵州省医疗卫生效率在2007年和2009年实现了DEA较高效率,其中综合效率和规模效率整体呈下降趋势,技术效率则维持在较高水平;对医疗效率影响较大的因素有城市化水平、财政自给率、人口密度、农民恩格尔系数、城市恩格尔系数、人均GDP。其中,从城市化水平到人均GDP影响效果逐渐减弱。
Based on the medical and health expenditure data of Guizhou Province from 2007 to 2019, this paper uses DEA data envelopment analysis method to measure the input-output efficiency of the government on medical institutions in each year, and establishes a grey relational model to analyze the factors that affect the efficiency of medical institutions in different regions in different periods. The results show that the medical and health efficiency of Guizhou province achieved a high DEA efficiency in 2007 and 2009, in which the overall efficiency and scale efficiency show a downward trend, while the technical efficiency remains at a high level. The factors that have great influence on medical efficiency are urbanization level, financial self-sufficiency rate, population density, farmers’ Engel coefficient, urban Engel coefficient and per capita GDP. Among them, the effect from urbanization level to per capita GDP gradually weakened.
出处
《应用数学进展》
2021年第11期3997-4005,共9页
Advances in Applied Mathematics
