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Contracting and renegotiating with a loss-averse private firm in BOT road projects

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Listed:
  • Feng, Zhuo
  • Zhang, Yiwen
  • Zhang, Shuibo
  • Song, Jinbo

Abstract

In BOT road project, the government offers a firm an ex ante contract, which specifies toll price and concession period based on the forecasted demand. When the demand states are observed in the operation period, the government may request renegotiation to adapt the initial contract to the realized demand state. By considering the loss aversion behavior of the private firm, this paper shows that renegotiation takes place only if the private firm’s extent of loss aversion is sufficiently small. However, in what direction the government adjusts toll price and concession period depends on the combined effects of initial price, demand level, and demand uncertainty in each demand state. This paper has further investigated the optimal initial contract. We find that if one demand state realizes with a sufficiently large probability, then the optimal initial contract is renegotiation-proof in this demand state while inducing renegotiation in other demand states; if all demand states realize with almost equal probabilities, whether the optimal initial contract prevents or induces renegotiations in all demand states depends on the private firm’s extent of loss aversion. This paper makes two major contributions to the literature. First, we apply loss aversion to the context of renegotiation in BOT road projects and show that renegotiation is costly. Second, we consider the optimal initial contract in anticipation of ex post renegotiation and show that the government should trade off between ex ante social welfare and ex post psychological loss. To obtain more insights and to strengthen our model results, we have reexamined the optimal renegotiation and initial contracts under some relaxed assumptions.

Suggested Citation

  • Feng, Zhuo & Zhang, Yiwen & Zhang, Shuibo & Song, Jinbo, 2018. "Contracting and renegotiating with a loss-averse private firm in BOT road projects," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 40-72.
  • Handle: RePEc:eee:transb:v:112:y:2018:i:c:p:40-72
    DOI: 10.1016/j.trb.2018.04.004
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    Cited by:

    1. Zhao, Yunpeng & Song, Jinbo & Feng, Zhuo & Jin, Lulu, 2023. "Incentive contracts with demand guarantee in BOT toll road projects," Research in Transportation Economics, Elsevier, vol. 98(C).
    2. Wang, Wei (Walker) & Jin, Xi & Tan, Zhijia & Sun, Huijun & Wu, Jianjun, 2022. "Modeling the effects of government subsidy and regulation on BOT transport project contract design within contractible service quality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Shi, Shasha & An, Qingxian & Chen, Ke, 2020. "Optimal choice of capacity, toll, and subsidy for build-operate-transfer roads with a paid minimum traffic guarantee," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 228-254.
    4. Shi, Shasha & Yin, Yafeng & An, Qingxian & Chen, Ke, 2021. "Optimal build-operate-transfer road contracts under information asymmetry and uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 65-86.
    5. Feng, Zhuo & Song, Jinbo & Yang, Xiaoxing & Guo, Ran, 2023. "Contractual flexibility, firm effort, and subsidy design: A comparison of PPP project contracts," European Journal of Operational Research, Elsevier, vol. 307(1), pages 484-496.
    6. Song, Jinbo & Zhao, Yunpeng & Jin, Lulu & Sun, Yan, 2018. "Pareto optimization of public-private partnership toll road contracts with government guarantees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 158-175.
    7. Fu, Xinying & van den Berg, Vincent A.C. & Verhoef, Erik T., 2018. "Private road networks with uncertain demand," Research in Transportation Economics, Elsevier, vol. 70(C), pages 57-68.
    8. Chen, Zhiyuan & Ye, Hanrui & Liu, Bingxi & Xue, Weili, 2021. "Analysis of road capacity and franchise price decision delegation in toll road BOT project," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    9. Zhao, Jianfeng & Liu, Henry J. & Love, Peter E.D. & Greenwood, David J. & Sing, Michael C.P., 2022. "Public-private partnerships: A dynamic discrete choice model for road projects," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).

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