冯卓

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副教授

博士生导师

硕士生导师

性别:男

毕业院校:天津大学

学位:博士

所在单位:创新与创业研究所

办公地点:大连理工大学经济管理学院D516室

联系方式:+86-411-84709310

电子邮箱:zhfeng@dlut.edu.cn

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

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论文类型:期刊论文

发表时间:2018-06-01

发表刊物:TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

收录刊物:SCIE、EI、SSCI

卷号:112

页面范围:40-72

ISSN号:0191-2615

关键字:BOT road; Renegotiation; Loss aversion; Contract design

摘要: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. (C) 2018 Elsevier Ltd. All rights reserved.