Decision Making on Government Subsidy for Highway Public-Private Partnership Projects in China Using an Iteration Game Model

  • Yujie Huang Shanghai Jiao Tong University
  • Hao Hu Shanghai Jiao Tong University
  • Jinjin Chen Shanghai Jiao Tong University
  • Lei Dai Shanghai Jiao Tong University
Keywords: PPP (public-private partnership), government subsidy, game theory, real option, decision making, highway case study

Abstract

Government subsidy is an important responsibility of fiscal expenditure in public-private partnership (PPP) projects. However, an improper subsidy strategy may cause over-compensation or under-compensation. In this research, an iteration game model combining game theory and real option is established to describe the periodic decision-making process. The strategy game model is applied to characterize the behavioral interactions between stakeholders, and the real option theory is used to predict the project performance under the influence of their decisions. Besides, two new indicators, the efficiency of fund (SE) and the total extra cost paid by the private sector (ME), are proposed to evaluate the extra project revenue caused by each unit of the subsidy and the incentive effects of the subsidy. Consequently, the preliminary results indicate that a periodic and iterative negotiations regarding the subsidy will effectively improve the efficiency of fund compared to the traditional way. The results also show that it is important for the public sector to give incentives, encouraging the private sector to make more efforts on the project, rather than merely providing fund support. Further study will focus on more detailed and complicated behaviors of stakeholders based on the model proposed in this paper.

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Published
2021-06-01
How to Cite
1.
Huang Y, Hu H, Chen J, Dai L. Decision Making on Government Subsidy for Highway Public-Private Partnership Projects in China Using an Iteration Game Model. Promet - Traffic&Transportation. 2021;33(3):399-12. DOI: 10.7307/ptt.v33i3.3567
Section
Articles