How to effectively control vertical collusion in bidding for government investment projects-Based on fsQCA method

Abstract

The impact of collusion during the bidding processes of Chinese government investment projects is a major concern in academic and policy circles, as collusion breeds corruption and destroys the credibility of governments. Furthermore, it negatively impacts successful project completion, leading to cost overruns and the illegitimate enrichment of colluding agents, regardless of the intended social benefits. Using data from 166 selected regional policy implementations as the research sample, this paper uses the fuzzy set qualitative comparative analysis method to conduct a group analysis of typical cases. The purpose of this study is to identify and better understand the cooperative regional policy implementation environments in China and to identify effective methods to improve the governance quality of collusion controls in construction investment project bidding processes. Five key control paths are identified, covering 94% of the cases. It is also found that in lower social collusion situations, reasonable market competition regulations can directly reduce collusive behavior. The research results will help the government to formulate more adaptive control policies and promote high-quality development of government investment projects.

The Relationship between Financial Performance and Stock Price of Energy Conservation and Environmental Protection Listed Companies-A Study Based on fsQCA

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Grey Interest Chain Identification and Control Model for Government Investment Engineering Projects Based on Node Identification

“…Conclusion. In related studies in recent years, Ma et al [27] finds that collusion in the bidding process for Chinese government investment projects can be addressed by reducing the atmosphere of social collusion, playing a market-led role, and strengthening supervision and control. According to Yu et al [28] research, there is a "self-reinforcing" phenomenon of bid collusion, and it is recommended to pay attention to the early management of collusion in the industry.…”

Research on the Effective Reduction of Accidents on Operating Vehicles with fsQCA Method—Case Studies

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