Abstract
The classification of collusion behaviors of government‐invested project tenderers is one of the important methods to describe the characteristics and laws of collusion behaviors and strengthen the governance of collusion. Firstly, the variables that affect the type of collusion behavior are selected and cluster analysis is carried out on the cases of collusion in government investment project bidding. Then use the social network to mine the types and characteristics of the collusion behavior of the tenderee. Finally, a BP neural network automatic identification model is established to quickly discriminate the types of collusion, which can effectively overcome the subjectivity of traditional methods. As a result, three typical types of collusion of tenderees can be obtained: intervention type, opportunity type, and cooperation type. The study found that the three types of collusion behavior have their own characteristics and laws, and the relationship between the variables that affect the type of collusion behavior is complex and affects each other.
Highlights
Since the issuance of the Bidding and Tendering Law, e bidding market in China has accumulated rich practical experience [1] and the most serious, widespread and frequent corruption in government investment projects is bidding collusion, which takes the form of Manipulation Tendering, bid rigging, bid collusion, bid evaluation expert collusion, splitting of projects and avoidance of bidding.Existing research on the characteristics and patterns of collusion, On the one hand, the patterns of collusion occurrence are detected by detecting abnormal behavior in the bidding process
Kwasnica and Sherstyuk [7] discussed the behavioral rules in multiunit auctions, Imhof et al [8] detected collusion based on the systematic correlation between bids, and David [9] compared the behavioral characteristics of bidding with noncolluding bidders
If there is an abnormal behavior, it can be determined that the behavior of these bidders is suspicious, so as to discover the collusion law. ese studies provide a theoretical basis for discovering the characteristics of collusive behavior and the law of general collusiveness
Summary
Since the issuance of the Bidding and Tendering Law, e bidding market in China has accumulated rich practical experience [1] and the most serious, widespread and frequent corruption in government investment projects is bidding collusion, which takes the form of Manipulation Tendering, bid rigging, bid collusion, bid evaluation expert collusion, splitting of projects and avoidance of bidding. Complexity there is a lack of in-depth systematic analysis of the subjects involved in the whole process of collusion, the links and ways of occurrence and the characteristics of the case itself, which is the basis and key issue for the exploration of the characteristics and laws of collusion as a whole. On the basis of classification, the social network analysis is carried out on the relevant cases of each category, and the characteristics and laws of the types of collusive behaviors of tenderers are explored. Is paper systematically analyzes the types of collusion behaviors of tenderers, and explores the law of collusion, in order to provide new ideas for the governance of collusion behaviors in bidding The BP neural network [10] is used to construct an automatic identification model of the type of collusion behavior of government investment project tenderees, and the type of collusion in bidding and tendering is judged. is paper systematically analyzes the types of collusion behaviors of tenderers, and explores the law of collusion, in order to provide new ideas for the governance of collusion behaviors in bidding
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