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The economics of water conservation regulations under uncertainty: An application to Alberta's Lower Athabasca River Region

Author

Listed:
  • Margaret Insley

    (Department of Economics and The Water Institute, University of Waterloo, Canada)

  • Yichun Huang

    (Department of Economics, University of Waterloo, Canada)

Abstract

Large water demands by the mining industry are of increasing concern around the world. Command and control water regulations may be highly inefficient. The cost of a specific command and control water management policy is studied for an oil sands mining operation in Canada, where restrictions on water withdrawals vary with fluctuations in the river. A dynamic stochastic optimal control model is specified for a firm choosing production, water use, and the timing to build a water storage facility, under conditions of uncertain oil prices and uncertain water withdrawal limits. A numerical solution of an HJB equation is implemented to determine the difference in value and optimal controls for the oil-producing asset, with and without water restrictions. The cost of the restrictions is estimated to be quite small given the current reserve base and capacity of the industry. The marginal cost of tightening restrictions is non-monotonic with respect to price volatility.

Suggested Citation

  • Margaret Insley & Yichun Huang, 2020. "The economics of water conservation regulations under uncertainty: An application to Alberta's Lower Athabasca River Region," Working Papers 2003, University of Waterloo, Department of Economics, revised Jul 2020.
  • Handle: RePEc:wat:wpaper:2003
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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