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Estimating the Impact on Efficiency of the Adoption of a Voluntary Environmental Standard: An Empirical Study of the Global Copper Mining Industry

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Listed:
  • Lise Tole

    () (Department of Economics, University of Strathclyde)

  • Gary Koop

    () (Department of Economics, University of Strathclyde)

Abstract

This paper uses data on the worldÂ's copper mining industry to measure the impact on efficiency of the adoption of the ISO 14001 environmental standard. Anecdotal and case study literature suggests that fiÂ…rms are motivated to adopt this standard so as to achieve greater efficiency through changes in operating procedures and processes. Using plant level panel data from 1992-2007 on most of the worldÂ's industrial copper mines, the study uses stochastic frontier methods to investigate the effects of ISO adoption. The variety of models used in this study Â…find that adoption either tends to improve efficiency or has no impact on efficiency, but no evidence is found that ISO adoption decreases efficiency.

Suggested Citation

  • Lise Tole & Gary Koop, 2011. "Estimating the Impact on Efficiency of the Adoption of a Voluntary Environmental Standard: An Empirical Study of the Global Copper Mining Industry," Working Papers 1136, University of Strathclyde Business School, Department of Economics.
  • Handle: RePEc:str:wpaper:1136
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    References listed on IDEAS

    as
    1. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    2. Morrow, David & Rondinelli, Dennis, 2002. "Adopting Corporate Environmental Management Systems:: Motivations and Results of ISO 14001 and EMAS Certification," European Management Journal, Elsevier, vol. 20(2), pages 159-171, April.
    3. Arora Seema & Cason Timothy N., 1995. "An Experiment in Voluntary Environmental Regulation: Participation in EPA's 33/50 Program," Journal of Environmental Economics and Management, Elsevier, vol. 28(3), pages 271-286, May.
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    5. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    6. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    7. Barla, Philippe, 2007. "ISO 14001 certification and environmental performance in Quebec's pulp and paper industry," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 291-306, May.
    8. Anton, W.R.Q.Wilma Rose Q. & Deltas, George & Khanna, Madhu, 2004. "Incentives for environmental self-regulation and implications for environmental performance," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 632-654, July.
    9. Dasgupta, Susmita & Hettige, Hemamala & Wheeler, David, 2000. "What Improves Environmental Compliance? Evidence from Mexican Industry," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 39-66, January.
    10. Charles J. Corbett & María J. Montes-Sancho & David A. Kirsch, 2005. "The Financial Impact of ISO 9000 Certification in the United States: An Empirical Analysis," Management Science, INFORMS, vol. 51(7), pages 1046-1059, July.
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    More about this item

    Keywords

    ISO 14001 environmental standard; Â…firm performance; stochastic frontier cost function; copper mining industry;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

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