首页|基于SFA模型的我国基本公共卫生服务效率时空演变分析

基于SFA模型的我国基本公共卫生服务效率时空演变分析

ANALYSIS OF THE SPATIOTEMPORAL EVOLUTION OF THE EFFICIENCY OF BASIC PUBLIC HEALTH SERVICES IN CHINA BASED ON THE SFA MODEL

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开展基本公共卫生服务是提升人民自我健康意识并实现卫生公平的重大举措.基于SFA模型、核密度估计和马尔可夫链模型,选取我国 2016-2020 年 31 个省(自治区、直辖市,除港澳台地区)面板数据,分析我国整体与区域基本公共卫生服务效率及影响因素,刻画考察期内时空演变特征.结果显示,2016-2020 年我国服务效率受多种因素影响,整体呈上升趋势但效率水平偏低;地域间服务效率存在显著差异,省际服务效率不均衡;我国服务效率的马太效应较为明显.据此提出:要以合理资源配置为核心,通过针对性体系建设实现服务效率提升;要以区域协调为重心,通过调整地区投入分配提升服务质量;要以提升资源整合为基石,构建公平与效率协调发展路径.
Undertaking basic public health services is a significant measure to enhance the self-health aware-ness of the Chinese people and achieve health equity.Based on the Stochastic Frontier Analysis(SFA)mod-el,kernel density estimation,and Markov chain models,this study selects panel data from 31 provinces(au-tonomous regions,municipalities directly under the Central Government,excluding Hong Kong,Macao,and Taiwan regions)in China from 2016 to 2020.It analyzes the efficiency of China's overall and regional basic public health services and their influencing factors,and characterizes the spatiotemporal evolution characteris-tics during the examination period.The results show that from 2016 to 2020,China's service efficiency was significantly influenced by various factors,showing an overall upward trend but with a relatively low efficiency level,with average annual efficiencies of:0.48,0.5,0.54,0.43,0.51;there are significant differences in service efficiency between regions in China,and the efficiency among provinces is unbalanced;based on this,the Matthew effect of China's service efficiency is quite evident.Therefore,to improve service efficiency,it is necessary to focus on rational resource allocation as the core,and achieve an increase in service efficiency through targeted system construction;focus on regional coordination,and improve service quality by adjusting the distribution of regional inputs;and take the improvement of resource integration as the cornerstone to build a path for coordinated development of equity and efficiency.

public health service efficiencystochastic frontierkernel densityspatiotemporal evolution

王郁甍、陶群山

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安徽中医药大学医药经济管理学院 数据科学与中医药创新发展安徽省哲学社会科学重点实验室,安徽 合肥 230012

公共卫生服务效率 随机前沿 核密度 时空演变

安徽省高校协同创新项目安徽省高校优秀科研创新团队项目

GXXT-2022-0952022AH010039

2024

河南工业大学学报(社会科学版)
河南工业大学

河南工业大学学报(社会科学版)

CHSSCD
影响因子:0.361
ISSN:1673-1751
年,卷(期):2024.40(3)