## 4 Results
### Spatial Correlation Features  
Geo Data software was used to create a Moran scatter plot of China's smart health and elderly care bases from 2017 to 2021 (Figure 4), which can identify the spatial correlation patterns of each province.  
The spatial autocorrelation as measured by Moran's I index experienced a remarkable surge, escalating from 0.011 in 2017 to 0.116, a nearly ten-fold increase. This substantial augmentation underscores the pronounced spatial interdependence characterizing the comprehensive dispersion of China's Smart Healthy Elderly Application Demonstration Bases.  
Taking the most representative year of 2021 as an example, the first quadrant of its scatter plot is the six provinces of Zhejiang, Shanghai, Shandong, Henan, Guangdong, and Hubei. While these provinces have high observation values themselves, they are also adjacent to other provinces with high observation values. They have a positive spatial spillover effect and can provide a positive impact on the future development of the study area. Shaanxi, Liaoning, Jiangsu, Anhui, and Sichuan are located in the fourth quadrant of the scatter plot, which shows that these provinces themselves have relatively good development levels, but the surrounding areas have poor development. Hunan, Jiangxi, Xinjiang, Shanxi, Beijing, Tianjin, Inner Mongolia, and Fujian are located in the second quadrant of the scatter diagram. They have a low level of development and good development in surrounding areas. Chongqing, Guizhou, Jilin, Ningxia, Qinghai, Tibet, Gansu, Heilongjiang, Yunnan, and Hebei are located in the third quadrant of the scatter diagram, indicating that the development level of these provinces and their surrounding areas is low.  
Conclusively, akin to the spatial layout of the elderly demographic, China's Smart Healthy Elderly Application Demonstration Bases conspicuously manifest an affluence concentration in the east and a scarcity disposition in the west [32]. The preponderance of the six most developed provinces primarily inhabits the eastern domain (Zhejiang, Shanghai, Shandong, Henan, Guangdong, and Hubei), all ranking within the upper echelons of China's GDP hierarchy. In contrast, the majority of the ten least developed provinces predominantly align with the western expanse (Chongqing, Guizhou, Jilin, Ningxia, Qinghai, Tibet, Gansu, Heilongjiang, Yunnan, and Hebei), with 70% of these provinces situated among the bottommost tier of China's GDP ladder [33]. This underscores the palpable impact of regional economic advancement on the establishment and progress of geriatric care amenities, along with a discernible affirmative correlation between economic progression and the evolution of sophisticated eldercare facilities [34]. Moreover, the eastern realm, marked by a dense population and hospitable natural environs, engenders a pressing demand for elderly care. Significantly, the eastern region's economic prosperity and resource abundance surpass those of its western counterpart [35], endowing it with greater fiscal solvency and a more vigorous resolve and capacity to furnish eldercare services, thereby fostering superior eldercare infrastructure development in the east.