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Environmental performance assessment: perceptions of project managers on the relationship between operational and environmental performance indicators

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  • Vivian Tam
  • C. M. Tam
  • L. Y. Shen
  • S. X. Zeng
  • C. M. Ho

Abstract

There is a growing concern about environmental impacts resulting from construction activities. To help minimize the environmental impacts from construction, Environmental Management Systems (EMSs) have been advocated and in some cases, implemented. Within the construction industry, Environmental Performance Assessment (EPA) forms one of the most important tools in monitoring and evaluating environmental performance. However, the relations between Environmental Operational Indicators (EOIs) (inputs) used in EPA and Environmental Performance Indicators (EPIs) (outputs) have not been tested and correlated, casting doubt on the reliability of these inputs. This paper attempts to develop a series of input (EOI) and output (EPI) indicators for EPA and measure their relations based on the perceptions of project managers. The results show that EOIs defined correlate strongly with EPIs. Therefore, EPA can help to identify areas for continuous improvement, and also provide an early indication of the environmental performance for an organization.

Suggested Citation

  • Vivian Tam & C. M. Tam & L. Y. Shen & S. X. Zeng & C. M. Ho, 2006. "Environmental performance assessment: perceptions of project managers on the relationship between operational and environmental performance indicators," Construction Management and Economics, Taylor & Francis Journals, vol. 24(3), pages 287-299.
    • Handle: RePEc:taf:conmgt:v:24:y:2006:i:3:p:287-299
    DOI: 10.1080/01446190500372197
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    References listed on IDEAS

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    1. Helen Lingard & Peter Graham & Guinevere Smithers, 2000. "Employee perceptions of the solid waste management system operating in a large Australian contracting organization: implications for company policy implementation," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 383-393.
    2. M. M. M. Teo & M. Loosemore, 2001. "A theory of waste behaviour in the construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 19(7), pages 741-751.
    3. Raymond Cole, 2000. "Building environmental assessment methods: assessing construction practices," Construction Management and Economics, Taylor & Francis Journals, vol. 18(8), pages 949-957.
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    Citations

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    Cited by:

    1. Guoyou Qi & Saixing Zeng & Xiaodong Li & Chiming Tam, 2012. "Role of Internalization Process in Defining the Relationship between ISO 14001 Certification and Corporate Environmental Performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 19(3), pages 129-140, May.
    2. Reza Esmaeilifar & Mohammad Iranmanesh & Mohd Wira Mohd Shafiei & Sunghyup Sean Hyun, 2020. "Effects of low carbon waste practices on job satisfaction of site managers through job stress," Review of Managerial Science, Springer, vol. 14(1), pages 115-136, February.
    3. Afiqah R. Radzi & Abdelrahman M. Farouk & Noor Suraya Romali & Mohamed Farouk & Mohamed Elgamal & Rahimi A. Rahman, 2024. "Assessing Environmental Management Plan Implementation in Water Supply Construction Projects: Key Performance Indicators," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    4. Abdelrahman M. Farouk & Afiqah R. Radzi & Noor Suraya Romali & Mohamed Farouk & Mohamed Elgamal & Raouf Hassan & Mazen M. Omer & Rahimi A. Rahman, 2024. "Performance Indicators for Assessing Environmental Management Plan Implementation in Water Projects," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    5. Sijia Guo & Xueqing Wang & Lipeng Fu & Yunfeng Liu, 2019. "How Individual’s Proactive Behavior Helps Construction Sustainability: Exploring the Effects of Project Citizenship Behavior on Project Performance," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    6. Claudia Poser & Edeltraud Guenther & Marc Orlitzky, 2012. "Shades of green: using computer-aided qualitative data analysis to explore different aspects of corporate environmental performance," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(4), pages 413-450, January.

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