This paper analyzes a variety of factors that affect public budget revenue. The data set is the Shanxi Provincial Statistical Yearbook collected from 1999 to 2021 years. This study uses the lasso regression method to select multiple factors affecting public budget revenue. The key influencing factors were retained. Then the GM (1,1) model was used to predict the data of each influencing factor in 2022 and 2023. Finally, SVR and neural network were used to forecast the public budget revenue in 2022 and 2023 and the advantages and disadvantages of the two models were compared. The results show that the general economic pattern of Shanxi province will be positive in the future. The public budget revenue of Shanxi Province will further increase.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.