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How risk factors lead to the early termination of public–private partnership projects in China: a multi-case study based on social network analysis and interpretive-structure modeling

Yunfeng Liu (College of Management and Economics, Tianjin University, Tianjin, China)
Xueqing Wang (College of Management and Economics, Tianjin University, Tianjin, China)
Jingxiao Zhang (School of Economics and Management, Chang'an University, Xi'an, China)
Sijia Guo (School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 25 August 2023

153

Abstract

Purpose

Early termination of public–private partnerships (PPPs) in China is caused by various risk factors, resulting in significant losses. This study aimed to clarify the key factors and identify the causal relationships among these factors.

Design/methodology/approach

Social network analysis (SNA) was used to analyze 37 risk factors that were summarized from 97 early terminated PPP cases and to identify the relationships among these key risk factors. Interpretive structural modeling (ISM) was conducted to explore the causal relationships. Data were collected from case documents, questionnaires and interviews.

Findings

A total of 17 key risk factors were identified and distributed in a hierarchical structure with six tiers. Among these key risk factors, the root causes affecting the early termination of PPP projects were government oversight in decision-making, local government transition, policy and law changes and force majeure. The direct cause was insufficient returns. Furthermore, local government and private sector defaults were essential mediating factors. Local government transition and the low willingness of the private sector were highlighted as potential key risks.

Research limitations/implications

The cases and experts were all from China, and outcomes in other countries or cultures may differ from those of this study. Therefore, further studies are required.

Practical implications

This research provides knowledge regarding the key risk factors leading to the early termination of PPP projects and guidance on avoiding these factors and blocking the factors' transmission in the project lifecycle.

Originality/value

This study contributes to the knowledge of risk management by emphasizing the importance of local government transition, the low willingness of the private sector and project cooperation and operation, whose significance is ignored in the existing literature. The proposed ISM clarifies the role of risk factors in causing early termination and explains their transmission patterns.

Keywords

Acknowledgements

Funding: This work was supported by the National Nature Science Foundation of China (Grants No. 72204244 and 72271183), the National Social Science Fund projects (Grants No. 19FJYB017 and 20BJY010), Sichuan-Tibet Railway Major Fundamental Science Problems Special Fund (Grant No. 71942006), Scientific Research Project of China Road and Bridge Engineering Co., Ltd (Grant No. 2020-zlkj-04), Open Fund of China Academy of Railway Sciences Group Corporation (Grant No. 2021YJ049), List of Key Science and Technology Projects in China’s Transportation Industry in 2018-International Science and Technology Cooperation Project (Grants No. 2018-GH-006 and 2019-MS5-100), Fundamental Research for Funds for the Central Universities (Grant No. 300102282601), Going Global Partnership: UK-China-ASEAN, Education Partnership Initiative funded by British Council (“Integrated Built Environment Teaching & Learning in the Joint Curriculum Development amid Digital-Driven Industry 4.0 among China, Vietnam and the UK”) and Humanities and Social Sciences Research Project of the Ministry of Education of China (Grant No. 21XJA752003).

Citation

Liu, Y., Wang, X., Zhang, J. and Guo, S. (2023), "How risk factors lead to the early termination of public–private partnership projects in China: a multi-case study based on social network analysis and interpretive-structure modeling", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-09-2022-0876

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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