大理大学学报 ›› 2026, Vol. 11 ›› Issue (1): 92-101.DOI: 10. 3969 / j. issn. 2096-2266. 2026. 01. 012

• 体育 • 上一篇    

公共体育PPP项目落地影响因素的社会网络分析研究

  

  1. 1.浙江旅游职业学院,杭州 311231; 2.浙江恒逸石化有限公司,杭州 310000;
    3.上海体育大学,上海 200438
  • 收稿日期:2025-05-29 修回日期:2025-07-04 出版日期:2026-01-15 发布日期:2026-01-15
  • 通讯作者: 陈长洲,副教授,博士,E-mail:815678738@qq.com。
  • 作者简介:刘晓虎,副教授,主要从事体育社会学研究。
  • 基金资助:
    浙江省哲学社会科学规划课题常规课题一般项目(25NDJC066YBM)

A Social Network Analysis of Influencing Factors for the Implementation of#br# Public-Private Partnership( PPP) Projects in Public Sports

  1. 1. Tourism College of Zhejiang, Hangzhou 311231, China; 2. Zhejiang Hengyi Petrochemicals Company Limited,
    Hangzhou 310000, China; 3. Shanghai University of Sport, Shanghai 200438, China
  • Received:2025-05-29 Revised:2025-07-04 Online:2026-01-15 Published:2026-01-15

摘要: 公共体育领域与PPP合作模式的有效融合,能充分发挥市场驱动运营与政府职能配置能力,是当下体育公共服务发展
升级的最优解,但因PPP项目投资金额、合作时长等自身特点及现阶段政策与经济发展不对称因素,公共体育PPP项目在现实
推进中仍存在项目落地效率较低的问题。本研究通过文献调研法与专家调查法对公共体育PPP项目落地影响因素进行识别
归纳并构建影响因素类别框架,采用社会网络分析法从个体节点及整体网络层面对公共体育PPP影响因素网络进行分析,借
助中心性及块模型等具体指标综合分析,得出包括投资金额和回报方式在内的6个关键影响因素及相关影响路径。基于此,
本研究结合公共体育PPP项目关键影响因素和关键影响路径提出相应的项目落地路径优化建议:提升财政支出占比,健全区
域政策支持;整合区域资源优势,建立人才梯队模式;把握投资金额尺度,优化项目回报机制。

关键词:  , 社会网络分析法, 公共体育, PPP项目, 落地影响因素

Abstract:  The effective integration of public sports sectors with PPP cooperation models can fully leverage market-driven operations
and government resource allocation capabilities, representing the current optimal solution for upgrading public sports services.
However, due to inherent characteristics such as PPP project investment amounts and cooperation durations, coupled with current
policy and economic development asymmetries, public sports PPP projects still face challenges in implementation efficiency during
practical advancement. This study employs a literature review and expert interview method to identify and summarize the influencing
factors of the implementation of PPP projects in public sports, and constructs a classification framework of these factors. Using social
network analysis (SNA), it analyzes the network of influencing factors at both the individual node and overall network levels. Through comprehensive analysis of specific indicators such as centrality and block models, six key influencing factors (including investment amount and return mechanisms) and their associated impact pathways are concluded. Based on these findings, the study proposes corresponding optimization recommendations for project implementation pathways by integrating key influencing factors and pathways: increasing the proportion of fiscal expenditure and strengthening regional policy support; consolidating regional resource advantages and establishing a talent ladder model; and calibrating investment scale while optimizing project return mechanisms.

Key words: SNA, public sports, PPP projects, landing impact factors

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