Investors' exit timing of PPP projects based on escalation of commitment

PLoS One. 2021 Sep 10;16(9):e0253394. doi: 10.1371/journal.pone.0253394. eCollection 2021.

Abstract

Long project cycle and uncertainties are important characteristics of public-private partnership (PPP) projects. Since the introduction of PPP projects in China, the timing of capital withdrawal has become important. With the emergence of risk factors during the course of the project, it will face the problem of investment withdrawal by social capital financial investors. Escalation of commitment (EOC) refers to the erroneous behaviour of project decision makers who do not promptly withdraw from a project when they receive negative feedback and continue to invest resources in the project. EOC not only causes more unnecessary losses but also adversely affects decision makers. Therefore, it is crucial to clarify the impact of EOC on the choice of the exit timing of social capital. This article adopts literature survey method and quantitative analysis method: introducing the theory of maximization of income into the real option model, combining the net present value method with the binary tree option pricing model, constructing the decision-making model to analyze the exit timing of PPP social capital in the context of EOC. Then combined numerical simulation and empirical analysis to verify the effectiveness of the decision-making model, discussed the reasons why the social capital party chooses EOC, and proposes measures for controlling EOC. The higher the degree of completion of the project, the easier it is for the person in charge of the project to make inaccurate judgements about the project due to personal psychological factors, and the easier it is for EOC to occur. Therefore, after setting the minimum goal of the project, the decision maker needs to accurately evaluate the existing value of the project to avoid falling into decision-making errors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Decision Making
  • Humans
  • Investments / economics*
  • Models, Economic
  • Public-Private Sector Partnerships / economics*

Grants and funding

This work was supported in part by the National Natural Science Foundation of China (Grant No. 71901068 & 71571149) and the Outstanding Young Scientific Research Talents Project of Fujian Agriculture and Forestry University (Grant No. xjq201823). Fujian Liujian Group Co., Ltd. provided support in the form of salaries for Zhou Chuhan, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Fuzhou Planning and Design Institute Group Co. Ltd provided support in the form of salaries for Chen Jingyi, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the 'author contributions' section.