Abstract：
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.
journal_name
Int J Environ Res Public Healthauthors
Gong G,Chen Y,Gao H,Su D,Chang Jdoi
10.3390/ijerph16234847subject
Has Abstractpub_date
2019-12-02 00:00:00issue
23eissn
1661-7827issn
1660-4601pii
ijerph16234847journal_volume
16pub_type
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