“新医改”背景下我国政府和居民医疗保健支出行为研究

发布时间：2019-03-05 13:08

【摘要】：随着“新医改”政策的持续深入展开,有关我国居民与政府的医疗保健支出行为的分析对指导进一步实施“新医改”政策显得十分重要。一方面,通过分析“新医改”政策前后各省级政府的医疗支出行为的异同,可以从一定程度上洞悉各省级政府之间医疗保健支出行为的关系及其支出水平与民生等相关指标的内在联系。通过分析政策实施前后各省级政府间医疗保健支出行为的关系的变化,从而得出相应结论,根据这些结论可以间接地分析“新医改”政策对省级政府间医疗支出行为的影响,而这是目前“新医改”政策深化展开阶段所必须进行的工作。毋庸置疑,这些结论也将在一定程度上为解决这样一个问题提供思路;即“新医改”政策的继续实施,在省级政府层面,未来改革的重点应该放在哪里?从而为下一步从政府层面优化“新医改”政策方案并制定相应的政策指明方向。另一方面,由于居民是“新医改”政策的参与者,对医疗资源不同需求层次的居民的总体福利的改善是衡量“新医改”政策是否有效、高效的一个重要的指标。鉴于我国城市地区和农村地区在医疗体制方面的差异一直存在,通过分别探讨城镇居民与农村居民在“新医改”背景下不同医疗支出水平的居民其医疗保健支出状况在政策实施前后的差异就显得十分重要,这也是科学分析我国这样一个实际问题的关键。由于不同医疗保健支出水平的居民其受到“新医改”政策的影响可能不同,而“新医改”政策的真正目的就是帮助那些在就医用药问题上有严重困难的居民,那么这一部分居民在就医用药问题方面的福利是否有所提升?不同医疗保健支出水平的居民的福利在“新医改”政策实施前后是否都有所改善?这些问题的解答对明确下阶段的医改大方向,继续高效地深化“新医改”政策至关重要。鉴于研究问题的需要,我们在文中采用空间面板模型以及面板分位数模型分别对我国省级政府医疗支出行为和居民医疗保健支出行为进行分析。
[Abstract]:With the development of the "new medical reform" policy, it is very important to analyze the health care expenditure behavior of the residents and the government in our country to guide the further implementation of the "new health care reform" policy. On the one hand, by analyzing the similarities and differences of the medical expenditure behavior of the provincial governments before and after the "new medical reform" policy, To some extent, we can understand the relationship between the health care expenditure behavior of the provincial governments and the relationship between the expenditure level and the people's livelihood and other related indicators. Through the analysis of the changes in the relationship between the provincial governments' health care expenditure behavior before and after the implementation of the policy, the corresponding conclusions can be drawn. According to these conclusions, the influence of the "new health care reform" policy on the provincial inter-governmental health care expenditure behavior can be analyzed indirectly. And this is the current "new health care reform" policy deepening stage of work must be carried out. There is no doubt that these conclusions will also, to a certain extent, provide ideas for solving such a problem: where should the focus of future reform be on the provincial government level for the continued implementation of the "new health care reform" policy? In order to further optimize the "new health care reform" policy from the government level and formulate the corresponding policy direction. On the other hand, as residents are participants in the policy of "new medical reform", the improvement of the overall welfare of residents with different levels of demand for medical resources is an important indicator to measure whether the "new medical reform" policy is effective and efficient. In view of the persistent disparities in the medical system between the urban and rural areas of the country, It is very important to discuss the difference of health care expenditure between urban residents and rural residents before and after the implementation of the policy under the background of "new medical reform". This is also the key to the scientific analysis of such a practical problem in China. Because residents of different levels of health care expenditure may be affected differently by the "new health care reform" policy, the real purpose of the "new health care reform" policy is to help those residents who have serious difficulties in accessing medicine. So has the welfare of this part of the population increased in terms of access to medicine? Has the welfare of residents with different levels of health care expenditure improved before and after the implementation of the "new health care reform" policy? The answer to these questions is very important to make clear the direction of health care reform in the next stage and to deepen the policy of "new health care reform" efficiently. In view of the need of the research, we use the spatial panel model and the panel quantile model to analyze the behavior of the provincial government's medical expenditure and residents' health care expenditure respectively.
【学位授予单位】：华侨大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F842.684

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