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Managing Agricultural Nitrate Contamination Of Ground Water: Impacts Of Uncertainty On Policy Formulation

Author

Listed:
  • Halstead, John M.
  • Batie, Sandra S.
  • Taylor, Daniel B.
  • Heatwole, Conrad D.
  • Diebel, Penelope L.
  • Kramer, Randall A.

Abstract

Unlike point-source contaminants, agricultural contaminants of ground water are often stochastic in nature •. Chance constrained programming model results for a representative Virginia dairy farm demonstrate that when the stochastic nature of nitrate loading to ground water is considered, costs of policy implementation increase substantially over simply using deterministic constraints.

Suggested Citation

  • Halstead, John M. & Batie, Sandra S. & Taylor, Daniel B. & Heatwole, Conrad D. & Diebel, Penelope L. & Kramer, Randall A., 1989. "Managing Agricultural Nitrate Contamination Of Ground Water: Impacts Of Uncertainty On Policy Formulation," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270524, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea89:270524
    DOI: 10.22004/ag.econ.270524
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    References listed on IDEAS

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    1. Palmini, Dennis J., 1982. "The secondary impact of nonpoint-pollution controls: A linear-programming-input/output analysis," Journal of Environmental Economics and Management, Elsevier, vol. 9(3), pages 263-278, September.
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