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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Has the Efficiency of China’s Healthcare System Improved after Healthcare Reform? A Network Data Envelopment Analysis and Tobit Regression Approach
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Has the Efficiency of China’s Healthcare System Improved after Healthcare Reform? A Network Data Envelopment Analysis and Tobit Regression Approach

机译：医疗改革后中国的医疗体系效率是否有所提高？网络数据包络分析和Tobit回归方法

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摘要

Background: A healthcare system refers to a typical network production system. Network data envelopment analysis (DEA) show an advantage than traditional DEA in measure the efficiency of healthcare systems. This paper utilized network data envelopment analysis to evaluate the overall and two substage efficiencies of China’s healthcare system in each of its province after the implementation of the healthcare reform. Tobit regression was performed to analyze the factors that affect the overall efficiency of healthcare systems in the provinces of China. Methods: Network DEA were obtained on MaxDEA 7.0 software, and the results of Tobit regression analysis were obtained on StataSE 15 software. The data for this study were acquired from the China health statistics yearbook (2009–2018) and official websites of databases of Chinese national bureau. Results: Tobit regression reveals that regions and government health expenditure effect the efficiency of the healthcare system in a positive way: the number of high education enrollment per 100,000 inhabitants, the number of public hospital, and social health expenditure effect the efficiency of healthcare system were negative. Conclusion: Some provincial overall efficiency has fluctuating increased, while other provincial has fluctuating decreased, and the average overall efficiency scores were fluctuations increase.
机译：背景：医疗保健系统是指典型的网络生产系统。网络数据包络分析（DEA）在衡量医疗保健系统的效率方面显示出优于传统DEA的优势。本文通过网络数据包络分析，评估了医疗改革实施后中国各省医疗体系的总体效率和两个子阶段效率。进行了Tobit回归分析，以分析影响中国各省医疗系统整体效率的因素。方法：在MaxDEA 7.0软件上获得网络DEA，在StataSE 15软件上获得Tobit回归分析的结果。本研究的数据来自《中国卫生统计年鉴》（2009-2018年）和中国国家局数据库的官方网站。结果：Tobit回归显示，地区和政府医疗支出对医疗系统的效率产生积极影响：每100,000居民的高等教育入学人数，公立医院的数量以及社会医疗支出对医疗系统的效率产生影响。负。结论：某省整体效率波动有所增加，而其他省份则有所波动，平均总效率得分为波动增加。

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