Journal of Dali University ›› 2026, Vol. 11 ›› Issue (1): 92-101.DOI: 10. 3969 / j. issn. 2096-2266. 2026. 01. 012

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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

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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