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Does highway project bundling policy affect bidding competition? Insights from a mixed ordinal logistic model

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  • Qiao, Yu
  • Labi, Samuel
  • Fricker, Jon D.

Abstract

Highway transportation project bundling can significantly reduce project delivery cost but could cause undesirable consequences such as reduced market competition. As such, bundling policy needs to be guided by a careful assessment of the potential impacts of bundling on bidding competition. This paper analyses the effect of project bundling policies on market competition using random-effects mixed ordinal logistic modelling, a probabilistic approach. The paper also investigates the variations of such effects across the different project types. The bundling policy factors that were found to be significantly impact bidding competition were the bundle size, bundling combination, and spatial proximity. The results suggest that bundled projects are generally associated with lower bidding competition compared to standalone projects, for all work categories except traffic projects. Further, where the bundled projects have proximal location, the bidding competition is generally higher. It was also determined that the different highway project types exhibit significant differences regarding the effect of bundling on competition: bundling policy (vis-à-vis standalone policy) generally leads to less intense competition for bridge, road, small-structures, miscellaneous, and utility projects, and more intense competition for traffic projects. In addition, it was found that there is a significant improvement on the model performance by including a random effects specification which diagnosed and addressed the unobserved heterogeneity that exists across the contract-letting years, for all the project types. The paper’s models can help highway agencies not only estimate the expected number of bidders for a given project under different bundling policies but also assess the effects of the bundling policy-related factors on bidding competition.

Suggested Citation

  • Qiao, Yu & Labi, Samuel & Fricker, Jon D., 2021. "Does highway project bundling policy affect bidding competition? Insights from a mixed ordinal logistic model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 228-242.
    • Handle: RePEc:eee:transa:v:145:y:2021:i:c:p:228-242
    DOI: 10.1016/j.tra.2021.01.006
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    as
    1. Estache, Antonio & Iimi, Atsushi, 2011. "(Un)bundling infrastructure procurement: Evidence from water supply and sewage projects," Utilities Policy, Elsevier, vol. 19(2), pages 104-114, June.
    2. Goran Runeson & Martin Skitmore, 1999. "Tendering theory revisited," Construction Management and Economics, Taylor & Francis Journals, vol. 17(3), pages 285-296.
    3. Pablo Ballesteros-Pérez & Martin Skitmore, 2017. "On the distribution of bids for construction contract auctions," Construction Management and Economics, Taylor & Francis Journals, vol. 35(3), pages 106-121, March.
    4. Bee-Lan Oo & Derek Drew & Goran Runeson, 2010. "Competitor analysis in construction bidding," Construction Management and Economics, Taylor & Francis Journals, vol. 28(12), pages 1321-1329.
    5. Bee-Lan Oo & Derek S. Drew & H. P. Lo, 2007. "Applying a random coefficients logistic model to contractors' decision to bid," Construction Management and Economics, Taylor & Francis Journals, vol. 25(4), pages 387-398.
    6. Pablo Ballesteros-P�rez & M. Carmen Gonz�lez-Cruz & Jose Luis Fuentes-Bargues & Martin Skitmore, 2015. "Analysis of the distribution of the number of bidders in construction contract auctions," Construction Management and Economics, Taylor & Francis Journals, vol. 33(9), pages 752-770, September.
    7. Antonio Estache & Atsushi Iimi, 2010. "Bidder Asymmetry in Infrastructure Procurement: Are There any Fringe Bidders?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(2), pages 163-187, March.
    8. M. Wanous & A. H. Boussabaine & J. Lewis, 2000. "To bid or not to bid: a parametric solution," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 457-466.
    9. Charles A.E. Goodhart & Anil K. Kashyap & Dimitrios P. Tsomocos & Alexandros P. Vardoulakis, 2019. "Financial Regulation In General Equilibrium," Chapters, in: Financial Regulation and Stability, chapter 3, pages 27-77, Edward Elgar Publishing.
    10. Levin, Dan & Ozdenoren, Emre, 2004. "Auctions with uncertain numbers of bidders," Journal of Economic Theory, Elsevier, vol. 118(2), pages 229-251, October.
    11. Pablo Ballesteros-Pérez & Martin Skitmore, 2016. "Estimating the number of new and repeated bidders in construction auctions," Construction Management and Economics, Taylor & Francis Journals, vol. 34(12), pages 919-934, December.
    12. Francesco Avvisati, 2019. "Is there a generational divide in environmental optimism?," PISA in Focus 95, OECD Publishing.
    13. Stephen Ngai & Derek Drew & H. P. Lo & Martin Skitmore, 2002. "A theoretical framework for determining the minimum number of bidders in construction bidding competitions," Construction Management and Economics, Taylor & Francis Journals, vol. 20(6), pages 473-482.
    14. Mohammed Wanous & Halim Boussabaine & John Lewis, 2003. "A neural network bid/no bid model: the case for contractors in Syria," Construction Management and Economics, Taylor & Francis Journals, vol. 21(7), pages 737-744.
    15. Oecd, 2011. "Procurement by Utilities," SIGMA Public Procurement Briefs 16, OECD Publishing.
    16. Hu, Audrey, 2011. "How bidder's number affects optimal reserve price in first-price auctions under risk aversion," Economics Letters, Elsevier, vol. 113(1), pages 29-31, October.
    17. Lawrence Friedman, 1956. "A Competitive-Bidding Strategy," Operations Research, INFORMS, vol. 4(1), pages 104-112, February.
    18. Dimitri,Nicola & Piga,Gustavo & Spagnolo,Giancarlo (ed.), 2006. "Handbook of Procurement," Cambridge Books, Cambridge University Press, number 9780521870733.
    19. Congressional Budget Office, 2012. "Using Public-Private Partnerships to Carry Out Highway Projects," Reports 42685, Congressional Budget Office.
    20. W. K. Fu & Derek S. Drew & H. P. Lo, 2002. "The effect of experience on contractors' competitiveness in recurrent bidding," Construction Management and Economics, Taylor & Francis Journals, vol. 20(8), pages 655-666.
    21. Douglas Dyer & John H. Kagel & Dan Levin, 1989. "Resolving Uncertainty about the Number of Bidders in Independent Private-Value Auctions: An Experimental Analysis," RAND Journal of Economics, The RAND Corporation, vol. 20(2), pages 268-279, Summer.
    22. David Lowe & Jamshid Parvar, 2004. "A logistic regression approach to modelling the contractor's decision to bid," Construction Management and Economics, Taylor & Francis Journals, vol. 22(6), pages 643-653.
    23. Congressional Budget Office, 2012. "Using Public-Private Partnerships to Carry Out Highway Projects," Reports 42685, Congressional Budget Office.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Ridderstedt, Ivan & Nilsson, Jan-Eric, 2022. "Economies of scale versus the costs of bundling in the procurement of highway pavement replacement," Working Papers 2022:4, Swedish National Road & Transport Research Institute (VTI).
    2. Ridderstedt, Ivan & Nilsson, Jan-Eric, 2023. "Economies of scale versus the costs of bundling: Evidence from procurements of highway pavement replacement," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    3. Jou, Rong-Chang & Kuo, Chung-Wei & Chiu, Yi-Chun, 2022. "Bidding behaviors for international airline seats in short/long distance flights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 55-79.

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