Measuring corruption in public construction projects in China


Autoria(s): Shan, Ming; Chan, Albert P. C.; Le, Yun; Xia, Bo; Hu, Yi
Data(s)

01/10/2015

Resumo

Corruption 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 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 semi-structured interviews with 14 experts, followed by 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 study focuses on measuring corruption in public construction projects in China, similar research methods can be applied in other countries around the world and thus contribute to the global body of knowledge of corruption.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/82770/

Publicador

American Society of Civil Engineers

Relação

http://eprints.qut.edu.au/82770/3/82770a.pdf

DOI:10.1061/(ASCE)EI.1943-5541.0000241

Shan, Ming, Chan, Albert P. C., Le, Yun, Xia, Bo, & Hu, Yi (2015) Measuring corruption in public construction projects in China. Journal of Professional Issues in Engineering Education and Practice, 141(4), 05015001.

Direitos

Copyright 2015 American Society of Civil Engineers

Fonte

School of Civil Engineering & Built Environment; Science & Engineering Faculty

Palavras-Chave #120000 BUILT ENVIRONMENT AND DESIGN #120200 BUILDING #Corruption #Public construction projects #Measurement #Fuzzy set theory #China
Tipo

Journal Article