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https://doi.org/10.62836/emi.v4i5.517
Han, Q. (2025). Data-Driven Smart Governance for National Fitness Public Services. Economics & Management Information, 4(5), 1–6. https://doi.org/10.62836/emi.v4i5.517
Volume 4, Issue 5, October 2025
Copyright (c) 2025 Qing Han
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Data-Driven Smart Governance for National Fitness Public Services

In the context of China’s Healthy China 2030 strategy and the rapid advancement of digital government initiatives, the governance of national fitness public services is undergoing a profound transformation. Traditional governance models characterized by fragmented supply, administrative centralization, and passive service delivery are increasingly challenged by the need for real-time responsiveness, personalization, and systemic coordination. This study explores the logic, structure, and pathways of data-driven smart governance in national fitness services. Drawing on the theoretical frameworks of data-driven governance and intelligent public service transformation, this paper first identifies the key governance dilemmas in the current national fitness system, including regional disparities, data fragmentation, and limited stakeholder participation. It then constructs a closed-loop governance mechanism comprising four layers: sensing, analysis, decision-making, and feedback. On this basis, the study proposes a three-dimensional governance pathway technological, organizational, and institutional, emphasizing platform integration, multi-actor collaboration, and regulatory support. This framework redefines the logic of service delivery, shifting from static, experience-based models to dynamic, algorithm-enabled governance systems. The findings offer both theoretical contributions to the field of smart governance and practical insights for improving the performance, equity, and adaptability of fitness-related public services.

national fitness data-driven governance public service smart city smart governance digital platform

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Supporting Agencies

  1. Funding: This research was funded by Hangzhou Municipal Philosophy and Social Science Planning Project (NO. 2022JD24).