1671-0479
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我国人均住院费用的空间分布及影响因素分析
Spatial distribution and influencing factors of per capita hospitalization expenses in China
基于莫兰指数、热点分析和地理加权回归模型对2017至2019年中国大陆31省份的人均住院费用的空间分布特征及影响因素进行分析。研究发现：2017-2019年我国人均住院费用全局Moran's I指数均大于0（P＜0.01）；热点分析显示人均住院费用存在“热点”和“冷点”区域；每千人口执业助理医师数和城镇化率对人均住院费用存在正向影响，每千人口床位数对人均住院费用存在负向影响。我国人均住院费用整体呈上涨态势，在地理分布上存在聚集性，各地在影响因素力度上存在差异，应结合实际情况制定政策。
Based on Moran index, hot spot analysis and geographically weighted regression model, this paper analyzed the spatial distribution characteristics and influencing factors of per capita hospitalization costs in 31 provinces of mainland China from 2017 to 2019. The results showed that the Moran's I index of per capita hospitalization cost was greater than 0 from 2017 to 2019 (P < 0.01). Hot spot analysis shows that there are "hot spot" and "cold spot" area of hospitalization cost per capita. The number of licensed assistant physicians per thousand population and urbanization rate have a positive impact on the per capita hospitalization cost, while the number of beds per thousand population has a negative impact on the per capita hospitalization cost. The per capita hospitalization cost in China is on the rise as a whole, and there is aggregation in geographical distribution, and there are differences in the strength of influencing factors in different regions. Therefore, policies should be formulated according to the actual situation.
人均住院费用;空间自相关;GWR模型;影响因素
per;capita hospitalization;cost, spatial;autocorrelation, GWR;model, influencing;factors
阮智慧,钱爱兵,郭楚宁
阮智慧,钱爱兵,guochuning
南京中医药大学卫生经济管理学院
School of Health Economics and Management, Nanjing University of Chinese Medicine
aumnss/article/abstract/S210362