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The Development and Reflection of the Reform of “Delegating Power, Improving Regulation and Upgrading Services” under Modernization of Educational Management

In: Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

Author

Listed:
  • Jiaming Sun

    (Shao Guan University)

  • Hanmei Li

    (Shao Guan University)

Abstract

The reform of “delegating power, improving regulation and upgrading services” in higher education is an important part of the modernization of higher education governance system and governance capacity in China. Using the theoretical analysis framework of Policy Borrowing in Education, the reform policy is interpreted from the four aspects of Cross-National Attraction, Decision-Making, Implementation and Internalization. The study finds that the reform of “delegating power, improving regulation and upgrading services” in higher education is the result of the joint action of internal and external factors, and is fundamentally the inevitable product of the reform to a certain stage. However, this reform is still an “incremental reform” along the idea of “positive list management”, so it has a transitional nature. Looking forward to the future, to promote the deepening of the reform in the field of higher education, it is necessary to pay attention to the concept consensus and innovation, promote the formation of the driving force of reform; use the rule of law thinking and tools to promote the construction of the rule of law; deepen the international and local dialogue, and build up a characteristic system of reform.

Suggested Citation

  • Jiaming Sun & Hanmei Li, 2025. "The Development and Reflection of the Reform of “Delegating Power, Improving Regulation and Upgrading Services” under Modernization of Educational Management," Advances in Economics, Business and Management Research, in: Soon M. Chung & Fairouz Kamareddine & Azah Kamilah Draman & Sim Kwan Yong (ed.), Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), pages 220-230, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-656-7_22
    DOI: 10.2991/978-94-6463-656-7_22
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