Measuring corruption in public construction projects in China

AbstractCorruption has been identified as the greatest obstacle to economic and social development. Public construction projects, in particular, face high corruption risk as public construction sector has been consecutively deemed as the most corrupt one. Despite considerable efforts have been undertaken to measure corruption at a nation level, few researchers focus on the measurement of corruption in construction projects. This paper develops a fuzzy measurement model for the potential corruption in public construction projects in China. Through semistructured interviews with 14 experts, and then a questionnaire survey with 188 respondents, 24 measurement items of corruption were identified and further categorized into five constructs. The fuzzy set theory was then adopted to quantify each measurement item, construct, and the overall corruption level. This model can facilitate in evaluating, revealing, and monitoring corruption in public construction projects. Although this paper focuses on measuring cor...

[1]  A. Shacklock,et al.  The Non-Perception Based Measurement of Corruption: A Review of Issues and Methods from a Policy Perspective , 2016 .

[2]  Murat Gunduz,et al.  Fuzzy Assessment Model to Estimate the Probability of Delay in Turkish Construction Projects , 2015 .

[3]  Qiming Li,et al.  Developing Competitive Advantages in Political Risk Management for International Construction Enterprises , 2014 .

[4]  Albert P.C. Chan,et al.  Investigating the Causal Relationships between Causes of and Vulnerabilities to Corruption in the Chinese Public Construction Sector , 2014 .

[5]  Albert P.C. Chan,et al.  Overview of corruption research in construction , 2014 .

[6]  Bon-Gang Hwang,et al.  Risk management in small construction projects in Singapore: Status, barriers and impact , 2014 .

[7]  J. Araña,et al.  Correcting for Scale Perception Bias in Measuring Corruption: an Application to Chile and Spain , 2013 .

[8]  Bon-Gang Hwang,et al.  Critical success factors for enterprise risk management in Chinese construction companies , 2013 .

[9]  Murat Gunduz,et al.  Corruption and Internal Fraud in the Turkish Construction Industry , 2012, Science and Engineering Ethics.

[10]  B. Hwang,et al.  Developing Fuzzy Enterprise Risk Management Maturity Model for Construction Firms , 2013 .

[11]  Paul Bowen,et al.  Corruption in the South African construction industry: a thematic analysis of verbatim comments from survey participants , 2012 .

[12]  Albert P.C. Chan,et al.  Investigation of Barriers to Entry into the Design-Build Market in the People’s Republic of China , 2012 .

[13]  Denis Thuillier,et al.  Critical success factors for World Bank projects: An empirical investigation , 2012 .

[14]  J. Foster,et al.  An Axiomatic Approach to the Measurement of Corruption: Theory and Applications , 2012 .

[15]  Zhengrui Han The discursive construction of civil judgments in Mainland China 1 , 2011 .

[16]  Michael A. Nelson,et al.  Measures of corruption and determinants of US corruption , 2011 .

[17]  Dulcy M. Abraham,et al.  Portfolio Cash Assessment Using Fuzzy Systems Theory , 2011 .

[18]  Albert P.C. Chan,et al.  Developing a Fuzzy Multicriteria Decision-Making Model for Selecting Design-Build Operational Variations , 2011 .

[19]  Kumar Neeraj Jha,et al.  Analyses and evaluation of irregularities in public procurement in India , 2011 .

[20]  Ana Nieto-Morote,et al.  A fuzzy approach to construction project risk assessment , 2011 .

[21]  Albert P.C. Chan,et al.  Developing a risk assessment model for PPP projects in China — A fuzzy synthetic evaluation approach , 2010 .

[22]  Kilkon Ko,et al.  Evaluation of international corruption indexes: Should we believe them or not? , 2010 .

[23]  Ka Chi Lam,et al.  A material supplier selection model for property developers using Fuzzy Principal Component Analysis , 2010 .

[24]  Florence Yean Yng Ling,et al.  Political, Economic, and Legal Risks Faced in International Projects: Case Study of Vietnam , 2010 .

[25]  P. Lam,et al.  Critical Success Factors for PPPs in Infrastructure Developments: Chinese Perspective , 2010 .

[26]  Koleola Tunwase Odusami,et al.  Professionals' Ambivalence toward Ethics in the Nigerian Construction Industry , 2010 .

[27]  Staffan Andersson,et al.  The Politics of Perception: Use and Abuse of Transparency International's Approach to Measuring Corruption , 2009 .

[28]  Albert P.C. Chan,et al.  Overview of the application of "fuzzy techniques" in construction management research , 2009 .

[29]  Po-Ren Hsueh,et al.  Consensus statement on the management of invasive candidiasis in Intensive Care Units in the Asia-Pacific Region. , 2009, International journal of antimicrobial agents.

[30]  William P. Henry,et al.  Eliminating Corruption in Our Engineering/Construction Industry , 2009 .

[31]  C. Kenny Measuring Corruption in Infrastructure: Evidence from Transition and Developing Countries , 2009 .

[32]  Sue Cavill,et al.  Accountability to Prevent Corruption in Construction Projects , 2008 .

[33]  Aminah Robinson Fayek,et al.  Fuzzy Numbers in Cost Range Estimating , 2007 .

[34]  O. E. Alutu,et al.  Unethical Practices in Nigerian Construction Industry: Prospective Engineers’ Viewpoint , 2007 .

[35]  Osama Moselhi,et al.  Forecasting project status by using fuzzy logic , 2006 .

[36]  M. Seligson The Measurement and Impact of Corruption Victimization: Survey Evidence from Latin America , 2006 .

[37]  J. Svensson Journal of Economic Perspectives—Volume 19, Number 3—Summer 2005—Pages 19–42 Eight Questions about Corruption , 2022 .

[38]  Lei Zhang,et al.  Prediction of Engineering Performance: A Neurofuzzy Approach , 2005 .

[39]  Lucio Picci,et al.  Proposal for a New Measure of Corruption, Illustrated with Italian Data , 2005 .

[40]  Andrew D.F. Price,et al.  Modelling global risk factors affecting construction cost performance , 2003 .

[41]  Allen I. Huffcutt,et al.  A Review and Evaluation of Exploratory Factor Analysis Practices in Organizational Research , 2003 .

[42]  Heather Marquette,et al.  Corruption, democracy and the World Bank , 2001 .

[43]  Arvind K. Jain,et al.  Corruption: A Review , 2001 .

[44]  L. Picci,et al.  Proposal for a New Measure of Corruption, and Tests using Italian Data , 2001 .

[45]  Donatella Della Porta,et al.  A judges' revolution? Political corruption and the judiciary in Italy , 2001 .

[46]  Cheryl W. Gray,et al.  Corruption and Development , 1998 .

[47]  V. Tanzi Corruption Around the World: Causes, Consequences, Scope, and Cures , 1998, SSRN Electronic Journal.

[48]  J. Lambsdorff Corruption in Comparative Perception , 1998 .

[49]  H. Davoodi,et al.  Corruption, Public Investment, and Growth , 1997, SSRN Electronic Journal.

[50]  T. Lancaster,et al.  Toward a methodology for the comparative study of political corruption , 1997 .

[51]  Osama Moselhi,et al.  Project-network analysis using fuzzy sets theory , 1996 .

[52]  Paulo Mauro Corruption and growth , 1995 .

[53]  R. Yager,et al.  On the analysis of fuzzy logic controllers , 1994 .

[54]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[55]  C. Hwang,et al.  Fuzzy Multiple Attribute Decision Making Methods , 1992 .

[56]  Fabian C. Hadipriono Fuzzy set concepts for evaluating performance of constructed facilities , 1988 .

[57]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[58]  C. Dziuban,et al.  When is a correlation matrix appropriate for factor analysis? Some decision rules. , 1974 .