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Article: Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach

TitleRevenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach
Authors
KeywordsContract mechanism
Excess revenue sharing
Minimum revenue guarantee
Public-private partnership (PPP) projects
Revenue risk
Swing option
Issue Date2021
Citation
Journal of Construction Engineering and Management, 2021, v. 147, n. 1, article no. 04020153 How to Cite?
AbstractA fair revenue-risk allocation is essential for successful public-private partnership (PPP) projects. In this paper, a swing option, which can hedge the underlying risk in two directions above and below expectations, is introduced to model a revenue risk allocation contract in PPP projects. In the contract, a minimum revenue guarantee (MRG) and excess revenue sharing (ERS) are integrated. The contract is fair for the public and private partners in that it covers and balances the MRG and ERS. Moreover, the contract embeds the incentive and flexibility by granting the concessionaire swing rights. The contract is priced using a least-squares Monte Carlo simulation. Through a demonstration case of a highway in China, the contract values for different allocation parameters are obtained, providing a reference for negotiations between the government and the concessionaire; the optimal strategies for exercising the swing rights are also presented, according to which the concessionaire can decide when to exert the swing rights. The new revenue risk allocation mechanism developed by the swing option method could enrich the revenue risk allocation theory of PPP projects.
Persistent Identifierhttp://hdl.handle.net/10722/333479
ISSN
2021 Impact Factor: 5.292
2020 SCImago Journal Rankings: 0.967

 

DC FieldValueLanguage
dc.contributor.authorZhang, Shuhua-
dc.contributor.authorLi, Jinghuan-
dc.contributor.authorLi, Yu-
dc.contributor.authorZhang, Xiaoling-
dc.date.accessioned2023-10-06T05:19:41Z-
dc.date.available2023-10-06T05:19:41Z-
dc.date.issued2021-
dc.identifier.citationJournal of Construction Engineering and Management, 2021, v. 147, n. 1, article no. 04020153-
dc.identifier.issn0733-9364-
dc.identifier.urihttp://hdl.handle.net/10722/333479-
dc.description.abstractA fair revenue-risk allocation is essential for successful public-private partnership (PPP) projects. In this paper, a swing option, which can hedge the underlying risk in two directions above and below expectations, is introduced to model a revenue risk allocation contract in PPP projects. In the contract, a minimum revenue guarantee (MRG) and excess revenue sharing (ERS) are integrated. The contract is fair for the public and private partners in that it covers and balances the MRG and ERS. Moreover, the contract embeds the incentive and flexibility by granting the concessionaire swing rights. The contract is priced using a least-squares Monte Carlo simulation. Through a demonstration case of a highway in China, the contract values for different allocation parameters are obtained, providing a reference for negotiations between the government and the concessionaire; the optimal strategies for exercising the swing rights are also presented, according to which the concessionaire can decide when to exert the swing rights. The new revenue risk allocation mechanism developed by the swing option method could enrich the revenue risk allocation theory of PPP projects.-
dc.languageeng-
dc.relation.ispartofJournal of Construction Engineering and Management-
dc.subjectContract mechanism-
dc.subjectExcess revenue sharing-
dc.subjectMinimum revenue guarantee-
dc.subjectPublic-private partnership (PPP) projects-
dc.subjectRevenue risk-
dc.subjectSwing option-
dc.titleRevenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1061/(ASCE)CO.1943-7862.0001952-
dc.identifier.scopuseid_2-s2.0-85095847027-
dc.identifier.volume147-
dc.identifier.issue1-
dc.identifier.spagearticle no. 04020153-
dc.identifier.epagearticle no. 04020153-
dc.identifier.eissn1943-7862-

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