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Impact of artificial intelligence and digital upgrading on the sustainable development of public health services: An
Luxin Zhang1,2, Zenglin Wu1, Wan Mohd Hirwani Wan Hussain2
1Business School, Nanfang College, Guangzhou, Guangdong, China.
Objective:
With the global proliferation of chronic diseases and sudden infectious outbreaks, the use of artificial intelligence and digital technologies to enhance the sustainable growth of public health services has become a key research focus. This study examines the impact and transmission mechanisms of artificial intelligence and digital upgrading on the long-term development of China's public health services.
Methods:
It visualizes and performs regression analysis on panel data from 30 provincial-level units in China from 2012 to 2024, using kernel density estimation, standard deviation ellipse, and dual machine learning models.
Results:
The following conclusions are drawn: (1) The sustainable development of public health services in China shows a regional distribution pattern, with higher levels in the east and lower levels in the west. Although overall levels have improved over time, regional disparities have widened. Hotspots for sustainable growth also show a spatial development trend toward the southeast. (2) Artificial intelligence and digital upgrading significantly positively impact the sustainable growth of public health services in China. A one-unit rise in artificial intelligence and digital enhancement results in gains of 0.014% and 0.080% in the sustainability of public health services, respectively. (3) The positive effects of artificial intelligence and digital upgrading on the sustainable development of public health services exhibit heterogeneity across economic zones, resource endowments, and the North-South regional division. (4) Digital upgrading and artificial intelligence significantly enhance the development of green technological innovation, green patent technology innovation, and green utility model innovation. Through this pathway, the sustainable development performance of public health services will be further improved.
Conclusion:
Digital upgrading and artificial intelligence improve the sustainable development of public health services in China through multiple pathways, including spatial distribution dynamics, direct positive effects, heterogeneous regional impacts, and enhanced green technological innovation.
