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Investigating the Underlying Factors of Corruption in the Public Construction Sector: Evidence from China

机译:调查公共建设部门腐败的潜在因素:来自中国的证据

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Over recent years, the issue of corruption in the public construction sector has attracted increasing attention from both practitioners and researchers worldwide. However, limited efforts are available for investigating the underlying factors of corruption in this sector. Thus, this study attempted to bridge this knowledge gap by exploring the underlying factors of corruption in the public construction sector of China. To achieve this goal, a total of 14 structured interviews were first carried out, and a questionnaire survey was then administered to 188 professionals in China. Two iterations of multivariate analysis approaches, namely, stepwise multiple regression analysis and partial least squares structural equation modeling were successively utilized to analyze the collected data. In addition, a case study was also conducted to triangulate the findings obtained from the statistical analysis. The results generated from these three research methods achieve the same conclusion: the most influential underlying factor leading to corruption was immorality, followed by opacity, unfairness, procedural violation, and contractual violation. This study has contributed to the body of knowledge by exploring the properties of corruption in the public construction sector. The findings from this study are also valuable to the construction authorities as they can assist in developing more effective anti-corruption strategies.
机译:近年来,公共建设部门的腐败问题引起了全世界从业者和研究人员的越来越关注。然而,有限的努力可以调查本行业腐败的潜在因素。因此,本研究试图通过探索中国公共建设部门的腐败潜在因素来弥补这一知识差距。为实现这一目标,首次进行了14项结构化访谈,然后在中国的188名专业人员管理问卷调查。多变量分析方法的两个迭代,即逐步多元回归分析和部分最小二乘结构方程建模,分析收集的数据。此外,还进行了案例研究以三角化从统计分析中获得的结果。从这三种研究方法产生的结果取得了相同的结论:导致腐败的最具影响力的潜在因素是不道德的,其次是不透明度,不公平,程序违规以及合同违规行为。本研究通过探索公共建设部门的腐败性质促进了知识体系。本研究的调查结果对建筑机构来说也有价值,因为他们可以帮助制定更有效的反腐败策略。

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