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Water Quality Trading when Nonpoint Pollution Loads are Stochastic

Listed author(s):
  • Ghosh, Gaurav


    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

  • Shortle, James


    (Environmental and Natural Resources Institute, Department of Agricultural Economics and Rural Sociology, Pennsylvania State University)

We compare two tradable permit markets in their ability to meet a stated environmental target at least cost when some polluters have stochastic and non-measurable emissions. The environmental target is of the safety-first type, which requires probabilistic emissions control. One market is built around the trading ratio, which defines the substitution rate between stochastic and deterministic pollution, and is modeled on existing markets for water quality trading. The other market is built around a new definition of the pollution credit as a multi-attribute good, where the attributes supply information to the market on the environmental risks associated with stochastic pollution loads. The market with multi-attribute credits is found to out-perform the trading ratio market in its ability to satisfy the safety-first environmental target at least cost. This result comes about because polluters are able to directly price risk in this market. In the trading ratio market risk is not a factor in polluters' trading decisions and is only controlled, through the trading ratio, under highly restrictive conditions.

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Paper provided by E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN) in its series FCN Working Papers with number 10/2009.

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Length: 39 pages
Date of creation: Nov 2009
Handle: RePEc:ris:fcnwpa:2009_010
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