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When Should Uncertain Nonpoint Emissions be Penalized in a Trading Program?

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  • Hennessy, David A.
  • Feng, Hongli

Abstract

When nonpoint source pollution is stochastic and the damage function is convex, intuition might suggest it is more important to control a nonpoint pollution source than a point source. Earlier research has provided sufficient conditions such that the permit price for a unit of ex-ante expected emissions should be higher than the permit price for a unit of certain emissions. Herein we provide a set of necessary and sufficient conditions such that this is the case. An approach to testing for the validity of the condition set is available, and has been applied to a related problem.

Suggested Citation

  • Hennessy, David A. & Feng, Hongli, 2007. "When Should Uncertain Nonpoint Emissions be Penalized in a Trading Program?," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9805, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea07:9805
    DOI: 10.22004/ag.econ.9805
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    Cited by:

    1. Horan, Richard & Shortle, James, 2014. "Point-Nonpoint Heresy?! An Endogenous Risk Explanation for Point-Nonpoint Trading Ratios Less than One," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170274, Agricultural and Applied Economics Association.
    2. Smith, Craig M. & Peterson, Jeffrey M. & Leatherman, John C. & Williams, Jeffery R., 2012. "A Simulation of Factors Impeding Water Quality Trading," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 42(2), pages 1-15.
    3. Fleming, Patrick & Lichtenberg, Erik & Newburn, David, 2018. "Water Quality Trading Program Design with Heterogeneous Behavioral Responses," 2018 Annual Meeting, August 5-7, Washington, D.C. 274429, Agricultural and Applied Economics Association.
    4. Horowitz, John K. & Just, Richard E., 2013. "Economics of additionality for environmental services from agriculture," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 105-122.
    5. Zinnia Mukherjee, 2016. "Controlling stochastic externalities with penalty threats: the case of bycatch," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(1), pages 93-113, January.
    6. Hanson, James C. & McConnell, Kenneth E., 2008. "Simulated Trading for Maryland's Nitrogen Loadings in the Chesapeake Bay," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(2), pages 1-16.
    7. Ghosh, Gaurav & Shortle, James, 2012. "Managing Pollution Risk through Emissions Trading," FCN Working Papers 1/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • D2 - Microeconomics - - Production and Organizations
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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