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

Shan, Ming ; Le, Yun ; Yiu, Kenneth T. W. ; Chan, Albert P. C. ; Hu, Yi

Science and engineering ethics, 2017-12, Vol.23 (6), p.1643-1666 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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Título:
Investigating the Underlying Factors of Corruption in the Public Construction Sector: Evidence from China
Autor: Shan, Ming ; Le, Yun ; Yiu, Kenneth T. W. ; Chan, Albert P. C. ; Hu, Yi
Assuntos: Bioethics ; Biomedical Engineering and Bioengineering ; Case studies ; China ; Construction ; Construction industry ; Construction Industry - ethics ; Contracts ; Corruption ; Crime ; Cultural values ; Data processing ; Education ; Engineering ; Ethics ; Fraud ; Humans ; Infrastructure ; Medicine/Public Health ; Morality ; Morals ; Multiple regression analysis ; Multivariate Analysis ; Opacity ; Original Paper ; Philosophy ; Philosophy of Science ; Public sector ; Public Sector - ethics ; Regression analysis ; Research methodology ; Research methods ; Social Justice ; Statistical analysis ; Surveys and Questionnaires
É parte de: Science and engineering ethics, 2017-12, Vol.23 (6), p.1643-1666
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: 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.
Editor: Dordrecht: Springer Netherlands
Idioma: Inglês

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

Shan, Ming ; Le, Yun ; Yiu, Kenneth T. W. ; Chan, Albert P. C. ; Hu, Yi

Dordrecht: Springer Netherlands

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