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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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  • Lise Tole
  • Gary Koop

Abstract

This paper uses data on the world’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 firms 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 to 2007 on most of the world’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 find that adoption either tends to improve efficiency or has no impact on efficiency, but no evidence is found that ISO adoption decreases efficiency. Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Lise Tole & Gary Koop, 2013. "Estimating the impact on efficiency of the adoption of a voluntary environmental standard: an empirical study of the global copper mining industry," Journal of Productivity Analysis, Springer, vol. 39(1), pages 35-45, February.
    • Handle: RePEc:kap:jproda:v:39:y:2013:i:1:p:35-45
    DOI: 10.1007/s11123-012-0278-y
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    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.
    4. Boyd, Gale A. & McClelland, John D., 1999. "The Impact of Environmental Constraints on Productivity Improvement in Integrated Paper Plants," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 121-142, September.
    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. Andrew King & Michael Lenox, 2002. "Exploring the Locus of Profitable Pollution Reduction," Management Science, INFORMS, vol. 48(2), pages 289-299, February.
    10. 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.
    11. 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.
    12. J Videras & A Alberini, 2000. "The appeal of voluntary environmental programs: which firms participate and why?," Contemporary Economic Policy, Western Economic Association International, vol. 18(4), pages 449-460, October.
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    Cited by:

    1. Correa, Juan A. & Gómez, Marcos & Luengo, Andrés & Parro, Francisco, 2021. "Environmental misallocation in the copper industry," Resources Policy, Elsevier, vol. 71(C).

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    More about this item

    Keywords

    ISO 14001 environmental standard; Firm performance; Stochastic frontier cost function; Copper mining industry; C23; D22; D24; Q52;
    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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