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ORIGINAL RESEARCH article

Front. Public Health

Sec. Public Health Policy

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1692238

This article is part of the Research TopicSports Policy and Management in the Era of Sustainable Development Goals: Challenges and OpportunitiesView all 14 articles

Policy Tools, Objectives, and Governance in China's Public Sports Services: An X–Y–Z Framework Analysis of National and Provincial Policies

Provisionally accepted
  • South China University of Technology, Guangzhou, China

The final, formatted version of the article will be published soon.

Background: As part of “Healthy China 2030” strategy, China has emphasized the expansion and equalization of public sports services to improve population health and promote social equity. Despite these goals, current policies often exhibit fragmented tool selection, vague targeting, and weak alignment with public needs, limiting their effectiveness in supporting inclusive, high-quality development. Methods: This study proposes an “X–Y–Z” analytical framework that integrates policy tools (X), policy objectives (Y), and thematic features (Z). Using content analysis, 76 national and provincial policy documents (2015–2025) were systematically coded. NVivo14 was used to extract and classify policy tools and objectives, while ROST-CM6 identified high-frequency keywords and constructed a semantic network. Results: The findings show a heavy reliance on supply-oriented tools, with demand-oriented tools significantly underutilized. Policy objectives are mainly concentrated on industrial development and national fitness, with relatively low attention to equity and economic benefit. Thematic analysis highlights “health,” “construction,” and “development” as core priorities, while “innovation” remains marginalized. Conclusion: By combining text encoding with semantic network analysis, this study provides a replicable and data driven approach to evaluating policies in the field of public health. It points out structural imbalances and reveals key blind spots in policy design. The research results provide an empirical basis for optimizing tool selection, coordinating multiple objectives, and enhancing policy responsiveness and fairness.

Keywords: public sports service policy, Content Analysis, semantic network, Public Health, X-Y-Z, Optimization strategy

Received: 25 Aug 2025; Accepted: 14 Oct 2025.

Copyright: © 2025 Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Wenzhe Zhou, zhouwenzhe333@163.com

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