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What has driven the spatial spillover of China’s out-of-pocket payments?

机译:什么推动了中国外包支付的空间溢出?

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摘要

Abstract Background Even though China launched a series of measures to alleviate several financial burdens (including health insurance scheme, increased government investment, and so on), the economic burden of health expenditure has still not been alleviated. Out-of-pocket payments (OPPs) show not only a time correlation but also some degree of spatial correlation. The aims of the current study were thus to identify the spatial cluster of OPPs, to investigate the main factors affecting variation, and to explore the spatial spillover sources of China’s OPP. Methods Global and local spatial autocorrelation tests were validated to identify the spatial cluster of OPPs using the panel data of 31 provinces in China from 2005 to 2016. The Spatial Durbin Model, established in this paper, measured the spatial spillover effect of OPPs and analyzed the possible spillover sources (demand, supply, and socio-economic factors. Results OPPs were found to have a significant and positive spatial correlation. The results of the Spatial Durbin Model showed the direct and indirect effects of demand, supply, and socio- economic factors on China’s OPPs. Among the demand factors, the direct and indirect correlation (elasticity) coefficients were positive. Among the supply factors, the direct and indirect effects of the share of primary health beds on residents’ OPPs were negative. The ratio of health technicians in hospitals to those in primary health institutions on per capital OPPs had a significant indirect effect. Among the socio-economic factors, the direct effects of GDP, government health expenditure, and urbanization on OPPs were found to be positive. There were no significant indirect effects of socio-economic factors on OPPs. Conclusion This paper finds that China’s OPPs are not randomly distributed but, overall, present a positive spatial cluster, even though a series of measures have been launched to promote health equity. Socio-economic factors and those associated with demand were found to be the main influences of variation in OPPs, while demand was seen to be the driver of the positive spatial spillover of OPPs, whereby effective supply could inhibit these positive spillover effects.
机译:摘要背景,即使中国推出了一系列减轻了几项金融负担(包括健康保险计划,增加政府投资等)的一系列措施,卫生支出的经济负担仍未得到缓解。不合时宜的付款(OPP)不仅显示时间相关性,而且显示出一定程度的空间相关性。因此,目前研究的目的是识别opp的空间集群,以研究影响变异的主要因素,并探索中国opp的空间溢出源。方法验证全球和局部空间自相关测试,以确定2005年至2016年中国31个省份的面板数据识别opp的空间集群。本文成立的空间德宾模型,测量了opps的空间溢出效应并分析了可能的溢出源(需求,供应和社会经济因素。结果发现对抗具有显着且积极的空间相关性。空间德宾模型的结果显示了需求,供应和社会经济因素的直接和间接影响在中国的opp上。在需求因素中,直接和间接相关性(弹性)系数是积极的。在供应因素中,居民对抗对居民的主要健康床份额的直接和间接效应是负的。卫生技术人员的比例在医院到每个资本卫生机构的卫生机构的人口有一个显着的间接效应。在社会经济因素中,可怕的因素GDP,政府卫生支出和城市化对抗的T效力被认为是积极的。对抗对社会经济因素没有显着的间接影响。结论本文发现,中国的opp不随机分发,但总体而言,即使已经启动了一系列措施以促进健康股权,即使已经启动了一系列措施。发现社会经济因素和与需求相关的因素是互联变化的主要影响,而需求被认为是互联网积极空间溢出的驾驶员,从而有效供应可能抑制这些正溢出效应。

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