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An Investigation of Voluntary Discovery and Disclosure of Environmental Violations Using Laboratory Experiments

Author

Listed:
  • James J. Murphy

    (Department of Resource Economics, University of Massachusetts Amherst)

  • John K. Stranlund

    (Department of Resource Economics, University of Massachusetts Amherst)

Abstract

This paper uses laboratory experiments to test individual responses to policies that seek to encourage firms to voluntarily discover and disclose violations of environmental standards. We find that while it is possible to motivate a significant number of voluntary disclosures without adversely affecting environmental quality, this result is sensitive to both the fine for disclosed violations and the assumption that firms know their compliance status without cost. When firms have to expend resources to determine their compliance status, motivating a significant number of violation disclosures yields worse environmental quality. Finally, relative to conventional enforcement, disclosure polices will result in more violations being sanctioned, but fewer of these sanctions are for violations that are uncovered by the government.

Suggested Citation

  • James J. Murphy & John K. Stranlund, 2005. "An Investigation of Voluntary Discovery and Disclosure of Environmental Violations Using Laboratory Experiments," Working Papers 2005-7, University of Massachusetts Amherst, Department of Resource Economics.
    • Handle: RePEc:dre:wpaper:2005-7
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    File URL: http://courses.umass.edu/resec/workingpapers/documents/resecworkingpaper2005-7.pdf
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    References listed on IDEAS

    as
    1. Malik Arun S., 1993. "Self-Reporting and the Design of Policies for Regulating Stochastic Pollution," Journal of Environmental Economics and Management, Elsevier, vol. 24(3), pages 241-257, May.
    2. Alexander Pfaff & Chris William Sanchirico, 2004. "Big field, small potatoes: An empirical assessment of EPA's self-audit policy," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 415-432.
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    5. Mishra, Birendra K. & Paul Newman, D. & Stinson, Christopher H., 1997. "Environmental regulations and incentives for compliance audits," Journal of Accounting and Public Policy, Elsevier, vol. 16(2), pages 187-214.
    6. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    7. Isaac, R Mark & James, Duncan, 2000. "Just Who Are You Calling Risk Averse?," Journal of Risk and Uncertainty, Springer, vol. 20(2), pages 177-187, March.
    8. Pfaff, Alexander S P & Sanchirico, Chris William, 2000. "Environmental Self-Auditing: Setting the Proper Incentives for Discovery and Correction of Environmental Harm," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 16(1), pages 189-208, April.
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    Citations

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    Cited by:

    1. Kjetil Telle, 2012. "Monitoring and enforcement of environmental regulations. Lessons from a natural field experiment in Norway," Discussion Papers 680, Statistics Norway, Research Department.
    2. Michael W. Toffel & Jodi L. Short, 2011. "Coming Clean and Cleaning Up: Does Voluntary Self-Reporting Indicate Effective Self-Policing?," Journal of Law and Economics, University of Chicago Press, vol. 54(3), pages 609-649.
    3. Timilsina, Raja Rajendra & Kotani, Koji, 2017. "Evaluating the potential of marketable permits in a framed field experiment: Forest conservation in Nepal," Journal of Forest Economics, Elsevier, vol. 29(PA), pages 25-37.
    4. Lana Friesen, 2012. "Certainty of Punishment versus Severity of Punishment: An Experimental Investigation," Southern Economic Journal, John Wiley & Sons, vol. 79(2), pages 399-421, October.
    5. Burtraw, Dallas & McCormack, Kristen, 2017. "Consignment auctions of free emissions allowances," Energy Policy, Elsevier, vol. 107(C), pages 337-344.

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    More about this item

    Keywords

    enforcement; compliance; environmental standards; self-reporting; self-auditing voluntary disclosure;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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