An empirical model for decision-making on ISO 14000 acceptance in the Shanghai construction industry

Zhen Chen, Heng Li, Qiping Shen and Wei Xu

Construction Management and Economics, 2004, vol. 22, issue 1, 55-73

Abstract: A remarkable disagreement/deviation between the rate of ISO 14001 registration and the rate of implementation of environmental impact assessment in the Chinese construction industry indicates that the contractors there might not have really applied environmental management (EM) in construction projects. This hypothesis has been tested in this paper by a mail questionnaire survey conducted to 72 main contractors in Shanghai, mainland China. The survey results indicate that there are five classes of factors influencing the acceptability of the ISO 14000 series of EM standards. Reasons why approximately 81% of contractors surveyed are indifferent to the ISO 14000 series are then analysed based on the critical classes. A linear discriminant model for decision-making for construction companies on whether to accept the ISO 14000 series is developed.

Keywords: ISO 14000 series; environmental management system; environmental impact assessment; empirical model; China (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/0144619042000186068 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:conmgt:v:22:y:2004:i:1:p:55-73

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RCME20

DOI: 10.1080/0144619042000186068

Access Statistics for this article

Construction Management and Economics is currently edited by Will Hughes

More articles in Construction Management and Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().