Abstract
In order to strengthen the construction of China's health industry and improve the health of the people, based on the data of 31 provinces and cities in China from 2009 to 2019, the improved EBM model is used to measure the health production efficiency of each region, and Moran index is used to study the Spatio-temporal variation of health production efficiency of each province. Finally, the spatial econometric model is applied to study the influencing factors of the Spatio-temporal variation of health production efficiency. The results show that generally speaking, the average efficiency of 31 provinces and cities is above 0.7, and the average efficiency of some regions is above 1. From the perspective of time variation, the average efficiency value in the eastern region and the middle region increases from 0.816 to 0.882 and from 0.851 to 0.861, respectively. However, the average efficiency value in the western region and northeast region decreases from 0.861 to 0.83 and from 0.864 to 0.805, respectively. From the perspective of spatial distribution, HH agglomeration and LL agglomeration exist in most regions. By comparing Moran scatter plots in 2009 and 2019, it is found that the quadrants of most regions remain unchanged, and LL agglomeration is the main agglomeration type in local space. There is a significant spatial dependence among different regions. From the perspective of spatial empirical results, Pgdp, Med, and Pd have a positive effect on health production efficiency. The direct effect and indirect effect of Pgdp, Med, and Gov all pass the significance test of 1%, indicating that there are spatial spillover effects of the three indicators. Each region should reasonably deal with the spillover effect of surrounding regions, vigorously develop economic activities, carry out cooperation with surrounding regions and apply demonstration effect to accelerate the development of overall health production.
Highlights
The economy of China is developing rapidly, and the economic level is rising day by day
The results showed that the green development of the Yellow River Basin mainly came from the external driving effect of large-scale expansion and total growth, and it was inevitable that the endogenous driving effect would be insufficient and unsustainable if the green development of the Yellow River Basin focused on the development speed and ignored the convolution improvement of quality and efficiency
The study found that China’s economic growth relied on physical capital investment and energy consumption. It can be seen from the research conclusions of the above scholars that among the influencing factors, the level of economic development has a positive effect on health production efficiency, and the increase of population density can provide residents with more medical and health services under a moderate financial budget (19)
Summary
The economy of China is developing rapidly, and the economic level is rising day by day. The study found that China’s economic growth relied on physical capital investment and energy consumption It can be seen from the research conclusions of the above scholars that among the influencing factors, the level of economic development has a positive effect on health production efficiency, and the increase of population density can provide residents with more medical and health services under a moderate financial budget (19). After summarizing the above literature, this paper puts forward the following improvements: (1) Environmental pollution is considered in the construction of the input-output index system, and the amount of medical waste produced and the mortality rate are selected as the unexpected output variables. Variables of economic development level, the service level of medical institutions, government support system, and population density degree are often selected as influencing factors. MAXDEA (Professional edition) software (Beijing Rewomaidi Software Co., LTD, Beijing, China) was used to calculate the health production efficiency of 31 provinces in TABLE 1 | Variable description
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