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Demographic Variables of Corruption in the Chinese Construction Industry: Association Rule Analysis of Conviction Records.
- Source :
-
Science and engineering ethics [Sci Eng Ethics] 2019 Aug; Vol. 25 (4), pp. 1147-1165. Date of Electronic Publication: 2018 May 02. - Publication Year :
- 2019
-
Abstract
- Corruption in the construction industry is a serious problem in China. As such, fighting this corruption has become a priority target of the Chinese government, with the main effort being to discover and prosecute its perpetrators. This study profiles the demographic characteristics of major incidences of corruption in construction. It draws on the database of the 83 complete recorded cases of construction related corruption held by the Chinese National Bureau of Corruption Prevention. Categorical variables were drawn from the database, and 'association rule mining analysis' was used to identify associations between variables as a means of profiling perpetrators. Such profiling may be used as predictors of future incidences of corruption, and consequently to inform policy makers in their fight against corruption. The results signal corruption within the Chinese construction industry to be correlated with age, with incidences rising as managers' approach retirement age. Moreover, a majority of perpetrators operate within government agencies, are department deputies in direct contact with projects, and extort the greatest amounts per case from second tier cities. The relatively lengthy average 6.4-year period before cases come to public attention corroborates the view that current efforts at fighting corruption remain inadequate.
- Subjects :
- Administrative Personnel economics
Administrative Personnel ethics
Administrative Personnel legislation & jurisprudence
Adult
Age Factors
Aged
China
Cities
Data Mining
Female
Humans
Male
Middle Aged
Statistics, Nonparametric
Construction Industry economics
Construction Industry ethics
Construction Industry legislation & jurisprudence
Criminal Behavior
Demography
Subjects
Details
- Language :
- English
- ISSN :
- 1471-5546
- Volume :
- 25
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Science and engineering ethics
- Publication Type :
- Academic Journal
- Accession number :
- 29721846
- Full Text :
- https://doi.org/10.1007/s11948-018-0024-6