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Selection of government supervision mode of PPP projects during the operation stage

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  • Ruolan Gao
  • Jicai Liu

Abstract

During the operation stage of public-private partnership (PPP) projects, investors may engage in opportunistic behaviour in pursuit of their own profits. In order to curb this kind of behaviour, this article analyses the selection of government supervision mode based on evolutionary game theory taking the perspective of government supervision. The results show that government supervision mode is closely related to the probability of identifying investors’ speculative behaviour through outcome-oriented supervision. When the probability of identifying such behaviour is relatively high, the equilibrium strategy of investors and governmental supervision institutions is (not to behave opportunistically, outcome-oriented supervision). In contrast, if the probability is relatively low, there is no set of evolutionarily stable strategies (ESS); rather, a periodic behavioural pattern is formed. In this scenario, the strategies ultimately chosen by both sides relate to initial states and the payoffs of the options. Furthermore, determinants and some recommendations for government supervision are proposed, providing a reference for efficient governance.

Suggested Citation

  • Ruolan Gao & Jicai Liu, 2019. "Selection of government supervision mode of PPP projects during the operation stage," Construction Management and Economics, Taylor & Francis Journals, vol. 37(10), pages 584-603, October.
    • Handle: RePEc:taf:conmgt:v:37:y:2019:i:10:p:584-603
    DOI: 10.1080/01446193.2018.1564347
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    Cited by:

    1. Hao Fu & Yue Liu & Pengfei Cheng & Sijie Cheng, 2022. "Evolutionary Game Analysis on Innovation Behavior of Digital Financial Enterprises under the Dynamic Reward and Punishment Mechanism of Government," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    2. Ceric Anita & Ivic Ivona, 2021. "Network analysis of interconnections between theoretical concepts associated with principal–agent theory concerning construction projects," Organization, Technology and Management in Construction, Sciendo, vol. 13(2), pages 2450-2464, January.

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