Formation and Management Countermeasures of Local Government Debt: Theoretical and Empirical Analysis of Regional Economic Differences, Big Data Mining and AI Application

Yunting Fan; Haichu Pan; Yongze Chen; Junbo Chen; Yushuo Zhang

doi:10.6911/WSRJ.202412_10(12).0007

Authors

Yunting Fan
Haichu Pan
Yongze Chen
Junbo Chen
Yushuo Zhang

DOI:

https://doi.org/10.6911/WSRJ.202412_10(12).0007

Keywords:

Local debt; Regional economy; Random forest; Risk assessment; Bayesian network.

Abstract

The purpose of this paper is to explore the local debt problem in the context of regional economic differences, and to analyze the formation mechanism of local debt in depth. The article carries out large-scale data analysis of economic indicators in different regions through the random forest algorithm, verifying the nonlinear relationship between local debt and regional economic differences, as well as the heterogeneity of the evolution path of local debt. At the same time, a dynamic debt risk assessment model based on Bayesian network is constructed using big data mining technology to quantitatively assess the risk level and development trend of local debt, with a view to providing decision support for local government debt management.

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