The Symphony of Evolution: Unraveling Infrastructure Public–Private Partnerships Collaboration Networks Through Participant Characteristics

ABSTRACT Using collaborative governance theory and stochastic actor‐oriented models (SAOMs), this study examines the co‐evolution of networks and participant characteristics in 1505 infrastructure PPP projects involving 3225 participants across 35 large and medium‐sized Chinese cities. The results show that collaborative networks are highly structured and exhibit small‐world characteristics. Furthermore, in the evolving landscape of China's PPPs, the collaboration network has shifted into three governance patterns: government‐SOEs (State‐owned enterprises) driven, SOEs‐consulting driven, and SOEs dominant. In addition, results reveal that network evolution is promoted by transitive triads, the similarity of organizational size, and geographic proximity, while it is hindered by outdegree, similarities of organizational age and type. The findings provide insights for partner selection and the involvement of governments in public service delivery and the development of governance strategies.

Authors

Institutions

Publication Details

Journal
Governance
Published
2024-12-16
DOI
https://doi.org/10.1111/gove.12911
Citations
4
Primary Topic
Public-Private Partnership Projects
Type
article
Field-Weighted Citation Impact
2.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Symphony of Evolution: Unraveling Infrastructure Public–Private Partnerships Collaboration Networks Through Participant Characteristics

Ge Wang, Zhibin Hu, Bingsheng Liu, Guangdong Wu et al.
4 citations
Governance
Public-Private Partnership Projects
2.22
article

The Symphony of Evolution: Unraveling Infrastructure Public–Private Partnerships Collaboration Networks Through Participant Characteristics

Ge Wang, Zhibin Hu, Bingsheng Liu, Guangdong Wu, Wei Zhang, Kejia Zhou
article en
4 citations

Abstract

ABSTRACT Using collaborative governance theory and stochastic actor‐oriented models (SAOMs), this study examines the co‐evolution of networks and participant characteristics in 1505 infrastructure PPP projects involving 3225 participants across 35 large and medium‐sized Chinese cities. The results show that collaborative networks are highly structured and exhibit small‐world characteristics. Furthermore, in the evolving landscape of China's PPPs, the collaboration network has shifted into three governance patterns: government‐SOEs (State‐owned enterprises) driven, SOEs‐consulting driven, and SOEs dominant. In addition, results reveal that network evolution is promoted by transitive triads, the similarity of organizational size, and geographic proximity, while it is hindered by outdegree, similarities of organizational age and type. The findings provide insights for partner selection and the involvement of governments in public service delivery and the development of governance strategies.

GovernanceVol. 38(1)
Chongqing University (CN), Sichuan University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Partnerships for the goals
Openalex Percentile: Top 9%
Public-Private Partnership Projects
2.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.