关键词: 财政预算支出, 人工智能, 预算分配, 公共卫生

Abstract: The budget serves as a manifestation of a nation's currency, with risks in domains such as public health and natural disasters exerting influence on budget allocation. Utilizing data from 21 prefecture-level cities in Guangdong spanning from 2014 to 2022 as research samples, this paper employs a hybrid artificial intelligence model to investigate the nexus between public health budget allocation and various metrics including population mortality rate, incidence of category A and category B infectious diseases, and per capita regional gross domestic product (GDP). The findings of the research are as follows: (1)Increasing the budget levels for health supervision agencies, emergency public health response, and disease prevention and control institutions is an effective way to reduce population mortality rates. (2)Optimizing the budget allocation for basic public health services, urban community health institutions, and elderly health affairs is crucial for controlling the incidence of Class A and B infectious diseases. (3)Disease prevention and control institutions, emergency response to public health incidents, and blood supply agencies are the cornerstones of safeguarding labor health and economic growth;(4) Notably, a certain degree of goal incongruity exists between curbing the incidence of infectious diseases and bolstering per capita regional GDP, while the objectives of reducing population mortality rates and enhancing GDP exhibit relative alignment.

Key words: Budget Expenditure, Artificial Intelligence, Budget Allocation, Public Health