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Managing Water Temperature Tmdls Under Economic And Environmental Uncertainty

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  • Howitt, Richard E.
  • Kaplan, Jonathan D.
  • Johnson, Michael L.
  • Viers, Joshua H.

Abstract

This paper presents an empirical model for analyzing the economics of information acquisition and adaptive watershed management. An empirical application drawn from the Total Maximum Daily Load standard implemented to control in-stream water temperature pollution for the Navarro River watershed, located in northern California provides the basis for this inquiry.

Suggested Citation

  • Howitt, Richard E. & Kaplan, Jonathan D. & Johnson, Michael L. & Viers, Joshua H., 2004. "Managing Water Temperature Tmdls Under Economic And Environmental Uncertainty," 2004 Annual meeting, August 1-4, Denver, CO 20182, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:20182
    DOI: 10.22004/ag.econ.20182
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    References listed on IDEAS

    as
    1. Kaplan, Jonathan D. & Howitt, Richard E. & Farzin, Y. Hossein, 2003. "An information-theoretical analysis of budget-constrained nonpoint source pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 106-130, July.
    2. Richard Horan & James Shortle & David Abler, 2002. "Ambient Taxes Under m-Dimensional Choice Sets, Heterogeneous Expectations, and Risk-Aversion," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 21(2), pages 189-202, February.
    3. Johansson, Robert C., 2002. "Watershed Nutrient Trading Under Asymmetric Information," Agricultural and Resource Economics Review, Cambridge University Press, vol. 31(2), pages 221-232, October.
    4. Baerenklau, Kenneth A., 2002. "Green Payment Programs For Nonpoint Source Pollution Control: How Important Is Targeting For Cost-Effectiveness?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-14, December.
    5. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    6. Johansson, Robert C., 2002. "Watershed Nutrient Trading Under Asymmetric Information," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(2), pages 1-13, October.
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