基于情景耕耘的招投标腐败网络形成机制与阻断治理研究

招投标环节已成为腐败网络的高发地带，实践表明招投标腐败网络具有复杂的“行为-后果”链和情景依赖性，其设置的反腐败壁垒一定程度上削弱了反腐败治理效果。本课题基于行为人导向的网络动力学，通过融合工程腐败、质性研究、社会网络分析、情景耕耘等多学科的理论与方法，从行为视角凝练和提出“招投标腐败网络形成机制与阻断治理”科学问题，具体内容包括：①通过文献和案例解析提取招投标腐败网络的情景要素，刻画招投标腐败网络形成的情景诱因；②采用情景耕耘分析方法构建招投标腐败网络的概念情景与结构化情景，并通过解耦腐败网络和定义交互规则等设计情景耕耘模型，测度典型情景的形成规律和结构特征；③选择和优化“运动式”和“非运动式”阻断治理策略，并选取典型案例进行验证分析。本课题扎根我国情景，着眼招投标腐败实际问题，利用情景耕耘和社会网络分析等方法深入研究招投标腐败网络的机理特征，以为招投标反腐败提供理论指导和技术支持。

Corruption network has frequently occurred in the tendering and bidding process in China. The practice has shown that tendering and bidding corruption network has complex “behavior-consequence” chains and scenario-dependent, its anti-corruption barriers could reduce the effectiveness of anti-corruption policy. Based on the network dynamic oriented by actor, this research proposes a concept model of the formation and control strategies of the tending and bidding corruption network from the perspective of behavior. Various methods are integrated to achieve this objective, such as construction corruption, qualitative method, social network analysis, and scenario simulation. The primary objectives of this study are: (1) to define the concept, factors, and occasion analysis by conducting literature review and case study; (2) to define concept scenarios, structured scenarios and its computer implementation by scenario simulation method, then analyze the formation and structural characteristics of the typical scenarios; (3) to propose and optimize control strategies in the view of kinetic and non-kinetic. In the context of China, this project focuses on the practical problems of tendering and bidding corruption, scenario simulation and social network analysis are used to analyze the mechanism of tendering and bidding corruption network. This study is anticipated to provide theoretical guidance and technical support for anti-corruption of tendering and bidding process.