Skip to main content
Log in

Development of a model to assess environmental performance, concerning HSE-MS principles

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

The main objective of the present study was to develop a valid and appropriate model to evaluate companies’ efficiency and environmental performance, concerning health, safety, and environmental management system principles. The proposed model overcomes the shortcomings of the previous models developed in this area. This model has been designed on the basis of a mathematical method known as Data Envelopment Analysis (DEA). In order to differentiate high-performing companies from weak ones, one of DEA nonradial models named as enhanced Russell graph efficiency measure has been applied. Since some of the environmental performance indicators cannot be controlled by companies’ managers, it was necessary to develop the model in a way that it could be applied when discretionary and/or nondiscretionary factors were involved. The model, then, has been modified on a real case that comprised 12 oil and gas general contractors. The results showed the relative efficiency, inefficiency sources, and the rank of contractors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • American Petroleum Institute (1998). Model environmental, health and safety (EHS) management system. API Publication, report no. 9100A.

  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092. doi:10.1287/mnsc.30.9.1078.

    Article  Google Scholar 

  • Banker, R. D., & Morey, R. (1986). Efficiency analysis for exogenously fixed inputs and outputs. Operations Research, 34, 513–521. doi:10.1287/opre.34.4.513.

    Article  Google Scholar 

  • Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9, 181–186. doi:10.1002/nav.3800090303.

    Article  Google Scholar 

  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. doi:10.1016/0377-2217(78)90138-8.

    Article  Google Scholar 

  • Cooper, W. W., Seiford, L. M., & Tone, K. (2000). Data envelopment analysis. Dordrecht: Kluwer Academic.

    Google Scholar 

  • Honkasalo, A. (2000). Occupational health and safety and environmental management systems. Environmental Science & Policy, 3, 39–45. doi:10.1016/S1462-9011(99)00046-5.

    Article  Google Scholar 

  • Jahanshahloo, G. R., Memariani, A., Hosseinzadeh Lotfi, F., & Shoja, N. (2005). A feasible interval for weights in data envelopment analysis. Applied Mathematics and Computation, 160, 155–168. doi:10.1016/j.amc.2003.08.143.

    Article  Google Scholar 

  • MacLean, R. (2003). Superior environmental, health and safety performance: What is it? Environmental Quality Management, 13(2), 13–20. doi:10.1002/tqem.10105.

    Article  Google Scholar 

  • May, P. H., Dabbs, A. W., Fernández-Dávila, P., Da Vinha, V., & Zaidenweber, N. (2002). A corporate approach to social monitoring and assessment for development in a fragile environment. Environmental Monitoring and Assessment, 76, 125–134. doi:10.1023/A:1015277106171.

    Article  Google Scholar 

  • Mohammadrezaie, S., & Eskafi, F. (2007). Environmental performance evaluation (EPE) of Iran Khodro Co. (IKCO). International Journal of Environmental Research, 1(1), 49–57.

    CAS  Google Scholar 

  • Nouri, J., Abbaspour, M., Roayaei, E., & Nikoomaram, H. (2005). Comparison of environmental performance—HSEQ management system, regarding the international and Iranian oil and gas general contractors. American Journal of Applied Sciences, 2(1), 447–451.

    Article  Google Scholar 

  • Pastor, J. T., Ruiz, J. L., & Sirvent, I. (1999). An enhanced DEA Russell graph efficiency measure. European Journal of Operational Research, 115, 596–607. doi:10.1016/S0377-2217(98)00098-8.

    Article  Google Scholar 

  • Podinovski, V. V. (2005). The explicit role of weight bounds in models of data envelopment analysis. The Journal of the Operational Research Society, 56, 1408–1418. doi:10.1057/palgrave.jors.2601969.

    Article  Google Scholar 

  • Syrjänen, M. J. (2004). Non-discretionary and discretionary factors and scale in data envelopment analysis. European Journal of Operational Research, 158, 20–33. doi:10.1016/S0377-2217(03)00362-X.

    Article  Google Scholar 

  • Tyteca, D. (1996). On the measurement of the environmental performance of firms—a literature review and a productive efficiency perspective. Journal of Environmental Management, 46(3), 281–308. doi:10.1006/jema.1996.0022.

    Article  Google Scholar 

  • Tyteca, D. (1997). Linear programming models for the measurement of environmental performance of firms—concepts and empirical results. Journal of Productivity Analysis, 8, 183–197. doi:10.1023/A:1013296909029.

    Article  Google Scholar 

  • Yang, Y., & MacLean, R. (2004). A template for assessing corporate performance: Benchmarking EHS organization. Environmental Quality Management, 13(3), 11–23. doi:10.1002/tqem.20001.

    Article  Google Scholar 

  • Zhou, P., Ang, B. W., & Poh, K. L. (2008). A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 189(1), 1–18. doi:10.1016/j.ejor.2007.04.042.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. R. Karbassi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Abbaspour, M., Hosseinzadeh Lotfi, F., Karbassi, A.R. et al. Development of a model to assess environmental performance, concerning HSE-MS principles. Environ Monit Assess 165, 517–528 (2010). https://doi.org/10.1007/s10661-009-0963-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10661-009-0963-0

Keywords

Navigation