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Abstract：
OBJECTIVE: To analyze the coupling and coordination level of medical education and health resource allocation in China, and to provide scientific basis for promoting the high-quality development of medical education and the efficient allocation of health resources.
METHODS: Based on the panel data from 2011 to 2021, the coupling coordination degree model was used to measure the coupling coordination index of medical education and health resources in China. The spatial auto-correlation model was used to analyze the development status and distribution characteristics of the coupling coordination degree of the two systems. The kernel density estimation method was used to analyze the dynamic evolution trend of the coupling coordination of the two systems. The QR quantile regression model was used to explore the key factors affecting the coupling coordination degree of the two systems.
RESULTS: During the observation period, the coupling coordination degree of the two systems increased from 0.393 to 0.465, with a growth rate of 18.3%. The coupling coordination degree between regions gradually decreased in the eastern-central and eastern-western regions, and there were still large differences between the central and western regions. The coupling coordination degree of the two systems in the region was significantly different in the eastern and western regions, and the central region was relatively similar. There is a positive spatial correlation between the provinces, and 25.81% of the provinces have transitions. Finally, the number of points in the first and third quadrants is higher than that in the second and fourth quadrants. In the process of dynamic distribution, the degree of polarization of the coupling coordination degree curve of the two systems is gradually weakened. Per capita GDP, residents \' income difference and population size are the positive and significant factors driving the coupling and coordinated development of the two systems.
CONCLUSIONS: The coupling and coordination degree of the two systems of medical education and health resource allocation showed a stable upward trend during the observation period, and the global spatial positive correlation also gradually increased, showing the spatial agglomeration characteristics of \' high-high agglomeration \' and \' low-low agglomeration \'. The spatial difference of coupling coordination degree shows a shrinking trend and develops towards equalization. The coupling coordination degree of the two systems is affected by social, economic and demographic factors to varying degrees. Therefore, it is necessary to innovate the coordinated development mechanism of the two systems, promote the two-way flow of medical education and health resource allocation in talents, technology and other elements, and then promote the coupling and coordinated development of the two systems.
METHODS: Based on the panel data from 2011 to 2021, the coupling coordination degree model was used to measure the coupling coordination index of medical education and health resources in China. The spatial auto-correlation model was used to analyze the development status and distribution characteristics of the coupling coordination degree of the two systems. The kernel density estimation method was used to analyze the dynamic evolution trend of the coupling coordination of the two systems. The QR quantile regression model was used to explore the key factors affecting the coupling coordination degree of the two systems.
RESULTS: During the observation period, the coupling coordination degree of the two systems increased from 0.393 to 0.465, with a growth rate of 18.3%. The coupling coordination degree between regions gradually decreased in the eastern-central and eastern-western regions, and there were still large differences between the central and western regions. The coupling coordination degree of the two systems in the region was significantly different in the eastern and western regions, and the central region was relatively similar. There is a positive spatial correlation between the provinces, and 25.81% of the provinces have transitions. Finally, the number of points in the first and third quadrants is higher than that in the second and fourth quadrants. In the process of dynamic distribution, the degree of polarization of the coupling coordination degree curve of the two systems is gradually weakened. Per capita GDP, residents \' income difference and population size are the positive and significant factors driving the coupling and coordinated development of the two systems.
CONCLUSIONS: The coupling and coordination degree of the two systems of medical education and health resource allocation showed a stable upward trend during the observation period, and the global spatial positive correlation also gradually increased, showing the spatial agglomeration characteristics of \' high-high agglomeration \' and \' low-low agglomeration \'. The spatial difference of coupling coordination degree shows a shrinking trend and develops towards equalization. The coupling coordination degree of the two systems is affected by social, economic and demographic factors to varying degrees. Therefore, it is necessary to innovate the coordinated development mechanism of the two systems, promote the two-way flow of medical education and health resource allocation in talents, technology and other elements, and then promote the coupling and coordinated development of the two systems.
摘要：
目的:分析我国医学教育与卫生资源配置的耦合与协调水平,为促进医学教育高质量发展和卫生资源的有效配置提供科学依据。
方法：基于2011-2021年的面板数据，采用耦合协调度模型对我国医学教育与卫生资源耦合协调指数进行测算。利用空间自相关模型分析了两个系统耦合协调度的发展状况和分布特征。利用核密度估计方法分析了两个系统耦合协调的动态演化趋势。采用QR分位数回归模型探索影响两系统耦合协调度的关键因素。
结果：在观察期间，两个系统的耦合协调度从0.393增加到0.465，增长率为18.3%。东部-中部和东部-西部地区之间的耦合协调度逐渐降低,中西部地区之间仍然存在很大差异。区域内两个系统的耦合协调度在东西部地区差异显著,中部地区相对相似。各省之间存在正的空间相关性，25.81%的省份有转型。最后,第一和第三象限中的点的数量高于第二和第四象限中的点的数量。在动态分配的过程中,两个系统的耦合协调度曲线的极化程度逐渐减弱。人均GDP,居民收入差异和人口规模是驱动两个系统耦合协调发展的积极显著因素。
结论：医学教育和卫生资源配置两个系统的耦合和协调程度在观察期内呈稳定上升趋势，全球空间正相关也逐渐增强,显示“高-高集聚”和“低-低集聚”的空间集聚特征。耦合协调度的空间差异呈现缩小趋势并向均衡发展。两个系统的耦合协调程度受社会,不同程度的经济和人口因素。因此,有必要创新两个系统的协调发展机制，促进医学教育和卫生人才资源配置的双向流动，技术和其他元素，促进两个系统的耦合协调发展。
方法：基于2011-2021年的面板数据，采用耦合协调度模型对我国医学教育与卫生资源耦合协调指数进行测算。利用空间自相关模型分析了两个系统耦合协调度的发展状况和分布特征。利用核密度估计方法分析了两个系统耦合协调的动态演化趋势。采用QR分位数回归模型探索影响两系统耦合协调度的关键因素。
结果：在观察期间，两个系统的耦合协调度从0.393增加到0.465，增长率为18.3%。东部-中部和东部-西部地区之间的耦合协调度逐渐降低,中西部地区之间仍然存在很大差异。区域内两个系统的耦合协调度在东西部地区差异显著,中部地区相对相似。各省之间存在正的空间相关性，25.81%的省份有转型。最后,第一和第三象限中的点的数量高于第二和第四象限中的点的数量。在动态分配的过程中,两个系统的耦合协调度曲线的极化程度逐渐减弱。人均GDP,居民收入差异和人口规模是驱动两个系统耦合协调发展的积极显著因素。
结论：医学教育和卫生资源配置两个系统的耦合和协调程度在观察期内呈稳定上升趋势，全球空间正相关也逐渐增强,显示“高-高集聚”和“低-低集聚”的空间集聚特征。耦合协调度的空间差异呈现缩小趋势并向均衡发展。两个系统的耦合协调程度受社会,不同程度的经济和人口因素。因此,有必要创新两个系统的协调发展机制，促进医学教育和卫生人才资源配置的双向流动，技术和其他元素，促进两个系统的耦合协调发展。
