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The Influence of Collusive Information Dissemination on Bidder’s Collusive Willingness in Urban Construction Projects

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  • Xiaowei Wang

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China)

  • Kunhui Ye

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China
    Research Center for Construction Economy and Management, Chongqing University, Chongqing 400044, China)

  • Taozhi Zhuang

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China)

  • Rui Liu

    (Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

Abstract

The process of urbanization and urban regeneration is inseparable from the implementation of urban construction projects. Current studies show a large amount of collusive bidding in urban construction projects, which has seriously affected healthy and sustainable urban development. Therefore, the governance of collusive bidding in urban construction projects is crucial to sustainable urbanization and urban renewal. In reality, the collusion information dissemination (CID) is a key influential factor in the bidder’s collusive willingness (BCW). Knowing the influence of CID on BCW will help city managers to have a clearer understanding of the causes and governance focus of collusive bidding. Thus, the study using the multi-agent simulation technology simulates the influence of CID on BCW in different market scales, communication intensities, and trust boundaries based on the Deffuant model. The research found that the negative impact of the CID on the market is more incredible in cities with smaller market sizes, and effectively inhibiting the CID can reduce the occurrence of collusion. Moreover, the research also found that colluders always form their collusive alliances within CID networks. These findings suggest that urban managers should strengthen the suppression of collusive bidding by weakening the dissemination of collusive information and blocking the CID networks.

Suggested Citation

  • Xiaowei Wang & Kunhui Ye & Taozhi Zhuang & Rui Liu, 2022. "The Influence of Collusive Information Dissemination on Bidder’s Collusive Willingness in Urban Construction Projects," Land, MDPI, vol. 11(5), pages 1-14, April.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:643-:d:802818
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    References listed on IDEAS

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    1. Roux, Catherine & Thöni, Christian, 2015. "Collusion among many firms: The disciplinary power of targeted punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 83-93.
    2. Bolotova, Yuliya & Connor, John M. & Miller, Douglas J., 2008. "The impact of collusion on price behavior: Empirical results from two recent cases," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1290-1307, November.
    3. Guillaume Deffuant & Frederic Amblard & Gérard Weisbuch, 2002. "How Can Extremism Prevail? a Study Based on the Relative Agreement Interaction Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-1.
    4. Xiaowei Wang & Wuyan Long & Meiyue Sang & Yang Yang, 2022. "Towards Sustainable Urbanization: Exploring the Influence Paths of the Urban Environment on Bidders’ Collusive Willingness," Land, MDPI, vol. 11(2), pages 1-14, February.
    5. Richard Ray & John Hornibrook & Martin Skitmore & Anna Zarkada-Fraser, 1999. "Ethics in tendering: a survey of Australian opinion and practice," Construction Management and Economics, Taylor & Francis Journals, vol. 17(2), pages 139-153.
    6. Huang, Chuanchao & Hu, Bin & Jiang, Guoyin & Yang, Ruixian, 2016. "Modeling of agent-based complex network under cyber-violence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 399-411.
    7. Edmond Baranes & Francois Mirabel & Jean-Christophe Poudou, 2009. "Collusion Sustainability with Multimarket Contacts: Revisiting HHI Tests," Working Papers 09-05, LAMETA, Universtiy of Montpellier, revised Mar 2009.
    8. Michael K. Price, 2008. "Using The Spatial Distribution Of Bidders To Detect Collusion In The Marketplace: Evidence From Timber Auctions," Journal of Regional Science, Wiley Blackwell, vol. 48(2), pages 399-417, May.
    9. Dimitri,Nicola & Piga,Gustavo & Spagnolo,Giancarlo (ed.), 2006. "Handbook of Procurement," Cambridge Books, Cambridge University Press, number 9780521870733, January.
    10. Wei Lo & Raymond Krizek & Ahmad Hadavi, 1999. "Effects of high prequalification requirements," Construction Management and Economics, Taylor & Francis Journals, vol. 17(5), pages 603-612.
    11. S.Z.S. Tabish & Kumar Neeraj Jha, 2012. "The impact of anti-corruption strategies on corruption free performance in public construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 30(1), pages 21-35, December.
    12. Robert Porter, 2005. "Collusion in Industrial Economics: A Comment," Journal of Industry, Competition and Trade, Springer, vol. 5(3), pages 231-234, December.
    13. Anna Zarkada-Fraser & Martin Skitmore, 2000. "Decisions with moral content: collusion," Construction Management and Economics, Taylor & Francis Journals, vol. 18(1), pages 101-111.
    14. S. Z. S. Tabish & Kumar Neeraj Jha, 2011. "Analyses and evaluation of irregularities in public procurement in India," Construction Management and Economics, Taylor & Francis Journals, vol. 29(3), pages 261-274.
    15. Martin Besfamille, 2004. "Collusion In Local Public Works," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(4), pages 1193-1219, November.
    16. Anderson, E.J. & Cau, T.D.H., 2011. "Implicit collusion and individual market power in electricity markets," European Journal of Operational Research, Elsevier, vol. 211(2), pages 403-414, June.
    17. Paul Anthony Bowen & Peter J. Edwards & Keith Cattell, 2012. "Corruption in the South African construction industry: a thematic analysis of verbatim comments from survey participants," Construction Management and Economics, Taylor & Francis Journals, vol. 30(10), pages 885-901, October.
    18. Rajeev Goel & Michael Nelson, 2011. "Measures of corruption and determinants of US corruption," Economics of Governance, Springer, vol. 12(2), pages 155-176, June.
    19. Ranon Chotibhongs & David Arditi, 2012. "Analysis of collusive bidding behaviour," Construction Management and Economics, Taylor & Francis Journals, vol. 30(3), pages 221-231, January.
    20. Harrington, Joseph E., 2014. "Penalties and the deterrence of unlawful collusion," Economics Letters, Elsevier, vol. 124(1), pages 33-36.
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