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Valuing Monitoring Networks for New Pathogens: The Case of Soybean Rust in the United States

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  • Thakur, Tiesta
  • Hurley, Terrance M.
  • Homans, Frances R.
  • Haight, Robert G.

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  • Thakur, Tiesta & Hurley, Terrance M. & Homans, Frances R. & Haight, Robert G., . "Valuing Monitoring Networks for New Pathogens: The Case of Soybean Rust in the United States," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(3).
    • Handle: RePEc:ags:jlaare:342180
    DOI: 10.22004/ag.econ.342180
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    References listed on IDEAS

    as
    1. Johansson, Robert C. & Livingston, Michael J. & Westra, John & Guidry, Kurt, 2006. "Simulating the U.S. Impacts of Alternative Asian Soybean Rust Treatment Regimes," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(1), pages 116-127, April.
    2. Livingston, Michael J., 2010. "U.S. Soybean Producer Perceptions and Management of Soybean Rust in the United States under the USDA Pest Information Platform for Extension and Education," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(3), pages 1-14, October.
    3. Mehta, Shefali V. & Haight, Robert G. & Homans, Frances R. & Polasky, Stephen & Venette, Robert C., 2007. "Optimal detection and control strategies for invasive species management," Ecological Economics, Elsevier, vol. 61(2-3), pages 237-245, March.
    4. Thomas M. Chaloner & Sarah J. Gurr & Daniel P. Bebber, 2021. "Plant pathogen infection risk tracks global crop yields under climate change," Nature Climate Change, Nature, vol. 11(8), pages 710-715, August.
    5. Bekkerman, Anton & Goodwin, Barry K. & Piggott, Nicholas E., 2008. "Spatio-temporal Risk and Severity Analysis of Soybean Rust in the United States," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-21.
    6. İ. Esra Büyüktahtakın & Robert G. Haight, 2018. "A review of operations research models in invasive species management: state of the art, challenges, and future directions," Annals of Operations Research, Springer, vol. 271(2), pages 357-403, December.
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