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Should we call the neighbors? Voluntary deliberation and citizen complaints about oil and gas drilling

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  • Scott, Ryan P.

Abstract

Firm adoption of voluntary management practices is one proposed method of mitigating oil and gas development externalities while promoting flexibility in regulations. Where they face social challenges or uncertainties, firms may even voluntarily select deliberative processes in site planning thereby increasing stakeholder involvement. This article tests the potential for adoption of voluntary engagement practices to reduce the likelihood of citizen complaints. Using a dataset of complaints and practices from the state of Colorado, this article finds that adoption of engagement practices and further deliberation about sites is not associated with altered odds of observing a complaint at a wellsite once other variables are controlled. Where more voluntary management practices of any type are adopted, the odds of observing a complaint are higher. Inclusion of engagement and deliberation weaken this association. Finally, large companies, as defined by well counts, are more likely to adopt engagement and deliberation practices that can form the basis of collaboration than are small companies. This indicates that use of voluntary management practices is dependent on the resources available to individual firms, and thus, the environmental and social benefits of such policies are likely to accrue unevenly.

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  • Scott, Ryan P., 2018. "Should we call the neighbors? Voluntary deliberation and citizen complaints about oil and gas drilling," Energy Policy, Elsevier, vol. 115(C), pages 258-272.
  • Handle: RePEc:eee:enepol:v:115:y:2018:i:c:p:258-272
    DOI: 10.1016/j.enpol.2018.01.017
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    References listed on IDEAS

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    1. Coglianese, Cary, 2002. "Is Satisfaction Success? Evaluating Public Participation in Regulatory Policymaking," Working Paper Series rwp02-038, Harvard University, John F. Kennedy School of Government.
    2. Charles Davis, 2012. "The Politics of “Fracking”: Regulating Natural Gas Drilling Practices in Colorado and Texas," Review of Policy Research, Policy Studies Organization, vol. 29(2), pages 177-191, March.
    3. Tyler Scott, 2015. "Does Collaboration Make Any Difference? Linking Collaborative Governance to Environmental Outcomes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(3), pages 537-566, June.
    4. Finn Lindgren & Håvard Rue & Johan Lindström, 2011. "An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(4), pages 423-498, September.
    5. Haixiao Huang & Gay Y. Miller, 2006. "Citizen Complaints, Regulatory Violations, and Their Implications for Swine Operations in Illinois," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 89-110.
    6. Haixiao Huang & Gay Y. Miller, 2006. "Citizen Complaints, Regulatory Violations, and Their Implications for Swine Operations in Illinois," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 89-110.
    7. Weersink, Alfons & Raymond, Mark, 2007. "Environmental regulations impact on agricultural spills and citizen complaints," Ecological Economics, Elsevier, vol. 60(3), pages 654-660, January.
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    Cited by:

    1. Scott, Ryan P. & Scott, Tyler A., 2019. "Investing in collaboration for safety: Assessing grants to states for oil and gas distribution pipeline safety program enhancement," Energy Policy, Elsevier, vol. 124(C), pages 332-345.
    2. Jonathan Colmer & Mary F. Evans & Jay Shimshack, 2023. "Environmental citizen complaints," CEP Discussion Papers dp1903, Centre for Economic Performance, LSE.
    3. Maniloff, Peter & Kaffine, Daniel T., 2021. "Private monitoring and public enforcement: Evidence from complaints and regulation of oil and gas wells," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    4. Peter Maniloff & Daniel T. Kaffine, 2020. "If you see (or smell) something, say something: Citizen complaints and regulation of oil and gas wells," Working Papers 2020-01, Colorado School of Mines, Division of Economics and Business.

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