引用本文: 舒燕,吴庆玲,符佳玮.我国医疗资源错配测算及影响因素研究*[J].中国卫生经济,2023,42(1):42-46.[点击复制] SHU Yan,WU Qing-ling,FU Jia-wei.A Study on Calculation and Influencing Factors of Misallocation of Medical Resources Based on the Provincial Panel Data[J].CHINESE HEALTH ECONOMICS,2023,42(1):42-46.[点击复制]
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我国医疗资源错配测算及影响因素研究*
舒燕,吴庆玲,符佳玮
0
(广州中医药大学公共卫生与管理学院 广州 510006)
摘要:
目的:了解我国医疗资源错配情况,明确主要影响因素,探索改善医疗资源错配的可行方案。方法:基于 2012—2019年全国31个省份的平衡面板数据,测算我国医疗资本错配指数和劳动力错配指数,运用计量模型进行固定效应回归,检验我国医疗资源错配的影响因素。结果:我国医疗资本错配和劳动力错配现象普遍存在,但从区域视角来看,东、 中、西部的医疗资本错配和劳动力错配都趋于改善。计量模型结果显示,政府干预改善了医疗资本错配,但加剧了劳动力错配;医疗市场的市场化程度可以改善医疗资本错配和劳动力错配;人均GDP、人口密度对医疗资本错配和劳动力错配的作用则刚好相反。结论:从推行精准化政府干预、促进医疗市场竞争、提升劳动力市场化程度等方面改善医疗资源错配。
关键词:  医疗资源错配  相对扭曲系数  政府干预  影响因素
DOI:
基金项目:2021年度教育部人文社会科学研究规划基金项目 (21YJAZH074);广州市哲学社科规划 2021年度课题项目(2021GZGJ15); 2022年广东省哲学社科规划课题项目(GD22XGL51); 2022年广东省教育科学规划课题项目(2022GXJK061); 2022年广东省财政科研课题项目(Z202253);广州中医药大学2020年度人文社科项目重点专项(2020SKZD07)
A Study on Calculation and Influencing Factors of Misallocation of Medical Resources Based on the Provincial Panel Data
SHU Yan,WU Qing-ling,FU Jia-wei
(School of Public Health and Management,Guangzhou University of Traditional Chinese Medicine,Guangzhou 510006 ,China)
Abstract:
Objective: To understand the misallocation of medical resources in China,the it clarifies the influencing factors of medical resource misallocation,and proposes proper solution of improving resource allocation efficiency. Methods: Based on the balanced panel data of 31 provinces (cities and autonomous regions) in China from 2012 to 2019,it calculates capital misallocation and labor misallocation of medical resource. Furthermore,the influencing factors of medical resource misallocation are tested by fixed effect regression. Results: The phenomena of medical capital misallocation and labor misallocation are widespread in China. But from the perspective of the region,the misallocation of medical capital and labor in the eastern,middle and western are tending to improve. It shows that government intervene improves the misallocation of medical capital,but aggravates the misallocation of labor. Marketization of medical market is a positive factor to improve the misallocation of medical capital and labor. Compared with population density,per capita GDP has the opposite effect on the misallocation of medical capital and labor. Conclusion: Policy suggestions are put forward from the aspects of implementing precise government intervenes,promoting competition in the medical market,and improving the marketization of labor.
Key words:  medical resource misallocation  relative twist coefficient  government intervene  influencing factor

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