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中国医疗资源集中化:时空演变及其空间驱动因素。

Concentration of Healthcare Resources in China: The Spatial-Temporal Evolution and Its Spatial Drivers.

机构信息

School of Economics, Hainan University, Haikou 570228, China.

School of Business, Hubei University, Wuhan 430062, China.

出版信息

Int J Environ Res Public Health. 2019 Nov 20;16(23):4606. doi: 10.3390/ijerph16234606.

Abstract

This paper estimated and evaluated the spatial-temporal evolution of the concentration of healthcare resources (HCRs), in 31 provinces in China between 2004 and 2017, by using the entropy method. The spatial Durbin model (SDM) was used to further analyze the mechanisms behind the spatial driving forces at the national and regional levels. The findings revealed that: (i) The concentration of HCRs differed significantly among eastern, central, and western regions. The eastern, followed by the central region, had the highest concentration. Going east to west, the concentration of HCRs in the first echelon decreased, while it increased in the second and third echelons; (ii) places with higher concentrations clustered, while those with lower concentrations agglomerated; and (iii) economic development, population size, and urbanization promoted concentration. Education facilitated HCR concentration in the eastern and central regions, income stimulated HCR concentration in the eastern and western regions, and fiscal expenditure on healthcare promoted HCR concentration in the eastern region. Economic development inhibited HCR concentration in neighboring regions, population size restrained HCR concentration in neighboring areas in the western region, urbanization and income curbed HCR concentration in neighboring areas in the eastern and western regions, and fiscal expenditure on healthcare hindered HCR concentration in neighboring areas in the eastern region. Policy recommendations were proposed toward optimizing allocation of healthcare resources, increasing support for healthcare and education, and accelerating urbanization.

摘要

本文运用熵值法对 2004-2017 年中国 31 个省(市、区)的医疗卫生资源(HCR)集中程度进行了测算与评价,并利用空间杜宾模型(SDM)进一步分析了全国及区域层面空间驱动因素的作用机制。结果表明:(1)中国医疗卫生资源集中程度在东、中、西部地区间差异显著,东部地区最高,其次是中部地区,呈由东向西逐渐递减的态势,东部地区一、二、三梯队HCR 集中程度依次递减,中、西部地区则依次递增;(2)高值集聚区和低值集聚区均存在显著的空间集聚特征;(3)经济发展水平、人口规模和城镇化水平均促进了医疗卫生资源的集中,教育水平仅在东部地区促进了医疗卫生资源的集中,而经济发展水平、人口规模和城镇化水平则分别在东部、东部和西部地区刺激了医疗卫生资源的集中,财政医疗卫生支出仅在东部地区促进了医疗卫生资源的集中。经济发展水平抑制了邻近地区医疗卫生资源的集中,人口规模限制了西部地区邻近地区医疗卫生资源的集中,城镇化和经济发展水平则分别在东、西部地区抑制了邻近地区医疗卫生资源的集中,财政医疗卫生支出则在东部地区阻碍了邻近地区医疗卫生资源的集中。最后提出了优化医疗卫生资源配置、加大对医疗卫生和教育事业的支持力度、加快推进城镇化进程等政策建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dc9/6926674/8a31721c6d45/ijerph-16-04606-g001.jpg

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