腐败成因元分析:来自179项腐败实验的证据  

A Meta-analysis on Influencing Factors of Corruption Behavior: Evidence from 179 Cases

作　　者：辛宝贵[1] 寇福平 XIN Baogui;KOU Fuping(College of Economics and Management,Shandong University of Science and Technology,Qingdao 266590,China)

机构地区：[1]山东科技大学经济管理学院,山东青岛266590

出　　处：《山东科技大学学报（社会科学版）》2020年第4期67-77,共11页Journal of Shandong University of Science and Technology(Social Sciences)

基　　金：国家社会科学基金项目(16FJY008)。

摘　　要：通过梳理20年来的腐败实验文献,提取其中28篇文献179项实验的8552位被试的记录数据,从个体特征变量和外部制度变量两个视角,对个体腐败行为的影响因素进行线性概率回归、随机效应元回归分析,并对虚拟变量集进行线性约束检验。结果表明:信息透明度、不对称责任、自我检举和监督四个变量与腐败接受率呈负相关。因而,建立完善合理的监督机制、多种监督方式结合、明确责任、保证惩罚措施的清晰度和执行力、增加施政透明度等都是有效的反腐路径。Corruption is a malignant tumor in both ancient and modern times, and it has always been a hot social issue that attracts more concern. So what are the factors that influence the commitment of corruption? In what ways is anti-corruption effective? The recorded data of 8552 participants from 179 cases of corruption experiments documented in 28 typical papers in the past 20 years are analyzed, and linear probability regression and random effect meta-regression on the influencing factors of individual corruption behavior are conducted from the perspectives of individual characteristic variables and external institutional variables.Meanwhile, linear constraint on the dummy variable set is tested. The results show that the four variables, that is, information transparency, asymmetric responsibility, self-reporting and supervision,have a negative correlation with the corruption acceptance rate. Therefore, establishing and perfecting a reasonable supervision mechanism, combining multiple supervision methods, clarifying responsibilities, ensuring the clarity and enforcement of punishment measures, and increasing the transparency of governance are all effective anti-corruption paths.

关 键 词：腐败实验 随机效应元回归 线性约束检验 元分析 

分 类 号：F069[经济管理—政治经济学] C912.6[社会学]