Version 1
: Received: 5 January 2024 / Approved: 5 January 2024 / Online: 8 January 2024 (01:19:39 CET)
How to cite:
Li, J.; Xie, F.; Guo, H. A Statistical Model for Identifying Collusive Bidding Based on Historical Quotations. Preprints2024, 2024010487. https://doi.org/10.20944/preprints202401.0487.v1
Li, J.; Xie, F.; Guo, H. A Statistical Model for Identifying Collusive Bidding Based on Historical Quotations. Preprints 2024, 2024010487. https://doi.org/10.20944/preprints202401.0487.v1
Li, J.; Xie, F.; Guo, H. A Statistical Model for Identifying Collusive Bidding Based on Historical Quotations. Preprints2024, 2024010487. https://doi.org/10.20944/preprints202401.0487.v1
APA Style
Li, J., Xie, F., & Guo, H. (2024). A Statistical Model for Identifying Collusive Bidding Based on Historical Quotations. Preprints. https://doi.org/10.20944/preprints202401.0487.v1
Chicago/Turabian Style
Li, J., Fei Xie and Hongchao Guo. 2024 "A Statistical Model for Identifying Collusive Bidding Based on Historical Quotations" Preprints. https://doi.org/10.20944/preprints202401.0487.v1
Abstract
Open bidding is widely used in Sinopec's material procurement due to its advantages of openness, transparency, and cost savings. However, there have been many complaints about collusive bidding in recent years. Collusive bidding will pose significant challenges to fair competition and increase project costs for material procurement. Therefore, there is an urgent need for an analysis model to identify and prevent the collusive bidding. In this paper, we propose a statistical model for identifying collusive bidding using the coefficient of variation cv, the ratio of high to low average quotation rP and the deviation rate of quotation δ as indicators, based on the statistics of the historical quotations for material A. Through a case study of the framework agreement bidding for material B, we identified the collusion behavior of bidders effectively, thereby verifying the applicability of this statistical model.
Keywords
collusive bidding; historical quotations; coefficient of variation; deviation rate; statistical model
Subject
Business, Economics and Management, Econometrics and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
