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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.

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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN with number 9805.

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Date of creation: 2007
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Handle: RePEc:ags:aaea07:9805

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Related research

Keywords: agricultural pollution; multiple inputs; permit trading; social optimality; trading ratio; water quality; Environmental Economics and Policy; Q1; Q2; D2; D8;

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Cited by:
  1. 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).
  2. 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), October.
  3. 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).

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