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The Impact of Market-oriented Transformation of Local Government Platforms on Platform Performance in Eastern China - Artificial Intelligence Perspective

In: Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)

Author

Listed:
  • Hanke Zhu

    (Nanjing University of Finance and Economics, School of Finance and Taxation)

Abstract

This paper focuses on the effectiveness of market-oriented transformation of local government financing platforms as a core issue in local debt governance. From an AI perspective, it constructs a multivariable statistical model and uses SPSS to analyze the roles of governance mechanism and fiscal dependency as mediating variables, and AI and policy environment as moderating variables. Results indicate that transformation negatively affects asset returns in the short term due to costs from business adjustment, governance improvement and financing marketization. AI investment can lower fiscal dependency and strengthen independent operation for long-term development. Substantive transformation demands differentiated paths, clearer government-enterprise boundaries by resolving principal-agent conflicts and soft budget constraints, and stronger sustainable market-oriented operation via independent audits and third-party performance contracts.

Suggested Citation

  • Hanke Zhu, 2026. "The Impact of Market-oriented Transformation of Local Government Platforms on Platform Performance in Eastern China - Artificial Intelligence Perspective," Advances in Economics, Business and Management Research, in: Ljiljana Trajkovic & José Alfredo F. Costa & Zaher Al Aghbari & Nor Azman Ismail & Dariusz Jacek Jak (ed.), Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026), pages 134-145, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-689-0_13
    DOI: 10.2991/978-94-6239-689-0_13
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