Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Public Health

Sec. Public Health Policy

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1615982

Quantitative Evaluation of Digital Rural Public Sports Service Policies Based on the PMC Index Model

Provisionally accepted
Kunyu  LiKunyu Li1Hong  TanHong Tan2*Shijia  LiuShijia Liu1
  • 1College of Economics and Management, Southwest University of Science and Technology, Mianyang, China
  • 2Southwest University of Science and Technology,College of Physical Education and Health, Mianyang, China, Mianyang, China

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

With the continued advancement of China's rural revitalization strategy, the high-quality development of rural public sports services has become a key priority in promoting farmers' health and enhancing social cohesion. The rapid expansion of digital technologies offers new opportunities to overcome longstanding challenges in rural public sports provision. However, the effectiveness of current policy implementation remains uneven and faces multiple constraints.This study applies the Policy Modeling Consistency (PMC) index model to quantitatively evaluate nine representative policies, scoring and analyzing each individually. The findings reveal that only one policy is rated as excellent, five as good, and three as acceptable, with an overall average PMC score of 5.646. These results indicate that while current policies have begun to direct public sports resources toward rural areas, deficiencies remain in terms of implementation strength, coverage scope, and long-term sustainability.Based on these insights, the study recommends enhancing policy incentive mechanisms, improving the adaptability of policy tools, and establishing a cross-sectoral coordination framework to support more integrated and equitable development of urban-rural public sports services.

Keywords: Digital Villages, Public sports services, Policy evaluation, Policy quantification, PMC

Received: 22 Apr 2025; Accepted: 18 Jul 2025.

Copyright: © 2025 Li, Tan and Liu. 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: Hong Tan, Southwest University of Science and Technology,College of Physical Education and Health, Mianyang, China, Mianyang, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.