IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v39y2021i2p156-172.html
   My bibliography  Save this article

Concession period optimisation in complex projects under uncertainty: a public–private partnership perspective

Author

Listed:
  • Kai Guo
  • Limao Zhang
  • Tao Wang

Abstract

Concession period is decisive in public–private partnership (PPP) projects, particularly for complex projects. A systematic approach incorporating real option analysis (ROA) is proposed to optimise the concession under uncertainty. Options are explored to manage uncertainty in the long concession of PPP projects and an optimisation principle is proposed for the concession optimisation. Sensitivity analysis and case comparison are suggested to test the validity of the optimised concession. Applicability of the approach is tested with a PPP utility tunnel case, in which options to expand and recoup are investigated. Important findings include: (1) interests of participants are balanced through the optimisation, the investment value of the project is increased; (2) profit-sharing mechanism is identified as the most important factor, and a prudent design of it can effectively manage uncertainty; (3) option to recoup can optimise the concession period without harming private developer's interest. This research's novelty lies in (a) exploring the management flexibility and identifying potential options in the concession period of PPP projects; (b) a hybrid approach with the integration of ROA and Sobal-based global sensitivity analysis is proposed to perform the concession optimisation; (c) the profit-risk allocation between participants in PPP projects is balanced under the optimisation principle.

Suggested Citation

  • Kai Guo & Limao Zhang & Tao Wang, 2021. "Concession period optimisation in complex projects under uncertainty: a public–private partnership perspective," Construction Management and Economics, Taylor & Francis Journals, vol. 39(2), pages 156-172, February.
  • Handle: RePEc:taf:conmgt:v:39:y:2021:i:2:p:156-172
    DOI: 10.1080/01446193.2020.1849752
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01446193.2020.1849752
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01446193.2020.1849752?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Lu & Liu, Henry & Wang, Dan & Florez-Perez, Laura, 2023. "Delivery of private toll roads: Incentive strategies for improving service quality and social welfare," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    2. Philip Haynes & David Alemna, 2022. "A Systematic Literature Review of the Impact of Complexity Theory on Applied Economics," Economies, MDPI, vol. 10(8), pages 1-23, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:39:y:2021:i:2:p:156-172. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.