[1]余敬文,谢王洁,张 丽,等.中国人均卫生费用时空演变及影响因素研究[J].卫生经济研究,2026,43(06):20-24.
　YU Jingwen,XIE Wangjie,ZHANG Li,et al.Study on Spatiotemporal Evolution and Influencing Factors of Per Capita Health Expenditure in China[J].Journal Press of Health Economics Research,2026,43(06):20-24.
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中国人均卫生费用时空演变及影响因素研究

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
43
期数:
2026年06期
页码:
20-24
栏目:
理论研究
出版日期:
2026-06-03

文章信息/Info

Title:
Study on Spatiotemporal Evolution and Influencing Factors of Per Capita Health Expenditure in China
作者:
余敬文1; 谢王洁2; 张 丽3; 朱 瑶4; 王立元4; 刘 霞5; 田 娜4
1.浙江工商大学金融学院，浙江 杭州 310018
2.中国药科大学国际医药商学院，江苏 南京 211198
3.江西中医药大学财务处，江西 南昌 330004
4.江西中医药大学中医药与大健康发展研究院，江西 南昌 330004
5.江西中医药大学中医学院，江西 南昌 330004
Author(s):
YU Jingwen;  XIE Wangjie;  ZHANG Li;  ZHU Yao;  WANG Liyuan;  LIU Xia;  TIAN Na
School of Finance, Zhejiang Gongshang University, Hangzhou Zhejiang 310018, China
关键词:
人均卫生费用; 时空演变; 地理加权回归; 影响因素
Keywords:
per capita health expenditure;  spatiotemporal evolution;  geographically weighted regression;  influencing factors
分类号:
R19
文献标志码:
A
摘要:
目的：基于2009—2022年省级面板数据，分析人均卫生费用时空演变特征及其影响因素。方法：采用全局Moran's I 指数、旋转经验正交函数（REOF）和地理加权回归（GWR）模型进行实证分析。结果：人均卫生费用区域差异总体呈收敛趋势，空间聚集特征显著，高值区集中在京津、长三角及珠三角地区；人均卫生费用呈现“东高西低”分布，时间系数由负转正，东部地区增长速率由慢转快；经济发展水平、城镇化率和卫生技术人员数是人均卫生费用的主要驱动因素，但区域异质性显著。结论：实施区域医疗资源差异化配置策略，构建智慧化治理体系，优化医疗资源与人口结构、经济发展的协同匹配性，从而促进全民健康目标实现。
Abstract:
Objective To analyze the spatiotemporal evolution characteristics of per capita health expenditure and its influencing factors based on provincial panel data from 2009 to 2022. Methods Empirical analysis was conducted using the global Moran's I index, Rotated Empirical Orthogonal Function(REOF), and Geographically Weighted Regression(GWR) models. Results Regional disparities in per capita health expenditure generally showed a converging trend, with significant spatial clustering; and high-value areas were concentrated in the Beijing-Tianjin region, the Yangtze River Delta, and the Pearl River Delta. Per capita health expenditure exhibited an "east-high, west-low" distribution, with the time coefficient shifting from negative to positive, and the growth rate in eastern regions shifted from slow to fast. Economic development level, urbanization rate, and the number of healthcare professionals were the primary drivers of per capita health expenditure, with significant regional heterogeneity. Conclusion It is necessary to implement differentiated allocation strategies for regional medical resources, establish a smart governance system, and optimize the synergy between medical resources and population structure as well as economic development, so as to promote the realization of the goal of universal health.

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更新日期/Last Update: 2026-06-03