Faculty of Health, University of Canberra, Building 22, 11 Kirinari St, Bruce ACT, Canberra, 2617, Australia.
China National Health Development Research Center, B3 Wudong Building, 9 Chegongzhuang Street, Xicheng District, Beijing, 100044, China.
Eur J Health Econ. 2021 Mar;22(2):267-279. doi: 10.1007/s10198-020-01251-3. Epub 2021 Jan 2.
This article examines the health system performance impact of China's new round of healthcare reform adopted in 2009. Specifically, we evaluated productivity and efficiency of health production pre- and post-reform period, compared the effects across all the 31 provinces of mainland China and identified potential determinants. As a major source of disability and premature mortality in China, non-communicable diseases (NCDs) had been the focus of our analysis, and the period during 2008-2015 was considered to allow enough time for the policy to have meaningful impact on the country's health system. Productivity and efficiency performance were analyzed using a bootstrapping data envelopment analysis (DEA) and the Malmquist productivity index (MPI) techniques, while a Tobit regression technique was used to identify determinants of inefficiency. We find that after the reform efficiency and productivity had declined across large number of provinces. Mean overall technical efficiency (OTE) post 2009 was about 30% lower than the potential maximum capacity, while productivity also fell at a rate of 7.57% per annum. Trends in productivity and efficiency performance were largely linked to patterns of scale of technological change observed during the study period. The findings suggest that efficiency and productivity can be improved through enhancing financial security, optimizing health resource allocation, particularly between human resources for health and hospital beds, and expanding cost-effective technology within the health sector. Better urban planning practices and investment in education were also found to contribute to improved efficiency of NCDs services.
本文考察了中国 2009 年新一轮医改对医疗体系绩效的影响。具体而言,我们评估了医改前后卫生生产的生产力和效率,并比较了中国大陆 31 个省的效果,同时还确定了潜在的决定因素。作为中国残疾和早逝的主要原因之一,非传染性疾病(NCDs)一直是我们分析的重点,而 2008-2015 年期间被认为有足够的时间让政策对国家的卫生系统产生有意义的影响。我们使用了 bootstrap 数据包络分析(DEA)和 Malmquist 生产力指数(MPI)技术来分析生产力和效率表现,同时使用 Tobit 回归技术来确定效率低下的决定因素。我们发现,改革后,大量省份的效率和生产力都有所下降。2009 年后,整体技术效率(OTE)平均比潜在的最大产能低约 30%,而生产力也以每年 7.57%的速度下降。生产力和效率表现的趋势在很大程度上与研究期间观察到的技术变革规模模式有关。研究结果表明,可以通过提高财务安全性、优化卫生资源配置(特别是在卫生人力资源和医院床位之间)以及扩大卫生部门内具有成本效益的技术,来提高效率和生产力。此外,更好的城市规划实践和教育投资也被发现有助于提高 NCDs 服务的效率。