Li Wei, Zhu Ke, Liu Echu, Peng Wuzhen, Fang Cheng, Hu Qiong, Tao Limei
Department of Data Science, Dongfang College, Zhejiang University of Finance and Economics, Haining, China.
School of Data Science, Zhejiang University of Finance and Economics, Hangzhou, China.
Front Public Health. 2023 Sep 12;11:1194375. doi: 10.3389/fpubh.2023.1194375. eCollection 2023.
This paper examines the impact of healthcare industry convergence on the performance of the public health system in the eastern, central, and western regions of China.
Public health performance was measured by a composite index of three standards: average life expectancy at birth, perinatal mortality, and maternal mortality. The healthcare industry convergence was measured using a coupling coordination degree method. The spatial lag, spatial error, and spatial Durbin models were used to estimate the effect of healthcare industry convergence on public health system performance and this effect's spatial dependence and heterogeneity across eastern, central, and western China using panel data from 30 Chinese provinces from 2002 to 2019.
The convergence of the healthcare industry significantly promotes regional public health [ =0.576, 95% CI: (0.331,0.821)]. However, the convergence does not have a spatial spillover effect on the public health system at the national level. Additionally, analysis of regional heterogeneity shows that the direct effects of healthcare industry convergence on public health are positive and statistically significant for Eastern China, statistically insignificant for Central China, and positive and statistically significant for Western China. The indirect effects are negative, statistically significant, positive, statistically significant, and statistically insignificant for these three regions, respectively.
Policy efforts should strengthen the convergence between the healthcare industry and relevant industries. It can produce more current healthcare services to improve public health and reduce regional health inequality.
本文考察了医疗卫生行业融合对中国东部、中部和西部地区公共卫生系统绩效的影响。
公共卫生绩效通过三个标准的综合指数来衡量:出生时平均预期寿命、围产儿死亡率和孕产妇死亡率。医疗卫生行业融合采用耦合协调度方法进行衡量。利用2002年至2019年中国30个省份的面板数据,运用空间滞后模型、空间误差模型和空间杜宾模型估计医疗卫生行业融合对公共卫生系统绩效的影响以及这种影响在中国东部、中部和西部地区的空间依赖性和异质性。
医疗卫生行业融合显著促进了区域公共卫生[ =0.576,95%置信区间:(0.331,0.821)]。然而,这种融合在国家层面上对公共卫生系统没有空间溢出效应。此外,区域异质性分析表明,医疗卫生行业融合对东部地区公共卫生的直接影响为正且具有统计学意义,对中部地区无统计学意义,对西部地区为正且具有统计学意义。这三个地区的间接影响分别为负且具有统计学意义、正且具有统计学意义和无统计学意义。
政策应加强医疗卫生行业与相关产业之间的融合。这样可以提供更多的当前医疗卫生服务,以改善公共卫生状况并减少区域卫生不平等。