Technical Papers
Aug 2, 2024

Evolutionary Game Analysis of the Opportunistic Behaviors in PPP Projects Using Whole-Process Engineering Consulting

Publication: Journal of Infrastructure Systems
Volume 30, Issue 4

Abstract

Opportunistic behaviors are common in public–private partnership (PPP) projects. The contractor involvement in a whole project lifecycle is essential to ensure successful project planning, delivery, and operation, namely, through whole-process engineering consulting. Grounded with prospect theory, this study developed a tripartite evolutionary model among government, social capital, and whole-process engineering consulting enterprise for their opportunistic behavior in the delivery process of PPP projects. The model analyzed the risk attitude and loss avoidance of game subjects for strategic decision-making. MATLAB simulation was employed to validate the model. The results show that the risk attitude coefficient and loss aversion coefficient significantly affect the strategy choices of game subjects including reputation loss. The stability of the PPP project regulation system depends on several factors, including the severity of government punishment, the cost of rent-seeking, and the frequency of regulatory failure. The findings contribute to the current literature of risk assessment in PPP projects as well as the development and practice of whole-process engineering consulting in PPP projects.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Nos. 72071096, 71971100, and 72101055) and the Qing Lan Project (2024) of Jiangsu Province.

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Journal of Infrastructure Systems
Volume 30Issue 4December 2024

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Received: Nov 23, 2023
Accepted: Jun 5, 2024
Published online: Aug 2, 2024
Published in print: Dec 1, 2024
Discussion open until: Jan 2, 2025

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Professor, School of Management, Jiangsu Univ., 301 Xuefu Rd., Zhenjiang 212013, China. Email: [email protected]
Master’s Student, School of Management, Jiangsu Univ., 301 Xuefu Rd., Zhenjiang 212013, China. ORCID: https://orcid.org/0000-0002-7059-6466. Email: [email protected]
Qingfeng Meng [email protected]
Professor, School of Management, Jiangsu Univ., 301 Xuefu Rd., Zhenjiang 212013, China. Email: [email protected]
Research Professor, School of Engineering Audit, Nanjing Audit Univ., Nanjing 211815, China; Associate Professor, School of Design and the Built Environment, Curtin Univ., Perth, WA 6845, Australia (corresponding author). ORCID: https://orcid.org/0000-0002-6080-7530. Email: [email protected]; [email protected]

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