Analysis Of Bidding Enterprises’ Bidding Behavior Based On The Constraint Of Reasonable Lowest Price

As the bidding system continuously mature and perfect in our country, the application of lowest bid evaluation method in the construction engineering project bidding also unceasingly thoroughly. At present the engineering construction market of our country is oversupply. There is fierce competition among bidders. In the process of bidding, tender offer is the key to determine which bidder is the winner, and the economic profit obtained after the bid. If the bid price is too high, the winning probability is low. If the bid price is too low, although the success rate is high, the successful bidder get less profit even at a loss. So it is necessary to study the influence factors of the successful bid quotation based on the actual bid quotation data and then provide a practical operating methods for the bidding enterprise to determine of the final bid quotation. It can not only improve the success rate but also get the best profit. Furthermore, in the implementation process of the lowest bid evaluation method, a lot of non-standard tendering bidding behavior happen occasionally because of the market mechanism and the good faith mechanism is not perfect in our country. Especially the bidding collusion among bidders which is to increase the success rate and obtain economic benefits. Therefore, it is meaningful to study the collusion or other irregularities between bidders in the bidding process. On the one hand, it can help bid enterprises to set up the correct bidding competition consciousness and implement legal bidding behavior. On the other hand, it contributes to improve management department’s prevention and management ability in the bidding supervision.The bid-winning enterprises which bid on the public resources trading center of Hefei is the research subject of this paper. This paper selects 10 relevant variables from the aspects of construction engineering projects, the competition and bidding enterprise itself. Then using the method of multivariate linear regression analysis to study the influencing factors of the successful bid quotation based on the actual data. According to the results, the bid control price of project, enterprise registered capital and total number of bid have a negative impact on the dependent variable. Besides, the number of bidding enterprise have positive effect on the dependent variable. In addition, this article defines the phenomenon that some bidders often appear in the same bidding projects at the same time as their joint bidding behavior. This behavior says there may be a potential collusion between bidders. Based on the actual bidding data, using social network analysis to identify the joint bidding behavior between bidding enterprise. Furthermore, using regression analysis method to explore which companies related variables affecting the implementation of joint bidding behavior. Finally using correlation analysis method to explore the relation between bidding enterprise’s joint bidding behavior and its bid-winning rate. Research results show that the network density of bidding enterprises’joint bidding behavior is larger than normal and the centrality of different bidding enterprise is differences. It indicates that there is joint bidding behavior between bidding enterprises in the process of bidding and different enterprise has different frequency. What’s more, company’s registered capital and region have positive and negative influence on the frequency of their joint bidding behavior respectively. The last but the most important result is that the frequency of the bidding enterprise’s joint bidding behavior showed significant negative correlation with its successful rate. Finally, based on the research conclusion, this paper put forward some counter-measures and suggestion respectively in view of the bidding enterprises and bidding management department.One of the innovation point of this article is providing a practical and operational method of determining the bid price for bidding enterprises from a practical angle. And the other is providing a new method and new thinking for identifying and managing the collusive behaviors between bidding enterprises in the process of bidding. At the same time, this article also has certain limitation on the sample and the research content.