Fiscal Risks: Management System in the World

Abstract

This thesis explores the importance and specific practice of fiscal risk management, and conducts in-depth analysis from theory to actual cases. The article first explains the basic concepts and characteristics of fiscal risk, emphasizing the dynamic, complex and systematic nature of fiscal risk. Then, it explains the models and strategies of fiscal risk management, points out the key to combining preventive management with emergency mechanisms, and proposes strategies such as structural optimization, operational norms, and the use of financial instruments. The study revolves around the identification, assessment, response and monitoring of fiscal risks. It integrates advanced data-driven technologies such as big data analysis and artificial intelligence to improve the accuracy of risk identification and assessment. A multidimensional approach combining qualitative and quantitative methods allows for a comprehensive risk assessment, which is essential for the development of active management strategies. The study also emphasizes the role of policy optimization, resource allocation efficiency and inter- departmental cooperation in mitigating fiscal risks. Drawing on case studies from China, the United States and the European Union, this thesis explains different approaches to fiscal risk management. China's strategy focuses on local debt management and fiscal reform, including real-time data monitoring and transparent fiscal policies. The United States showcases its advanced fiscal risk monitoring platform, which uses technological innovation to effectively predict and manage risks. The EU has embodied cooperative fiscal governance through frameworks such as the Stability and Growth Pact, which has promoted transparency and coordinated responses among member states. Finally, the thesis analyzes the challenges faced by fiscal risk management, such as high policy volatility, insufficient informatization, and weak coordination mechanisms, and proposes countermeasures such as policy optimization, technical support, and transparency improvement. It also recommends optimizing risk identification and assessment, improving system technology, building a policy regulatory framework, and strengthening collaborative management.