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Estimating the Value of an Early-Warning System

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  • Michael J. Roberts
  • David Schimmelpfennig
  • Michael J. Livingston
  • Elizabeth Ashley

Abstract

An early-warning system generates economic value to the extent that it improves decision making. The value of the information hinges on the degree to which a timely response, aided by warnings, facilitates successful damage mitigation. USDA’s Coordinated Framework for Soybean Rust includes a network of sentinel soybean plots and wild kudzu stands monitored by extension agents for the presence of soybean rust, a potentially recurring threat to the U.S. soybean crop since 2005. The linchpin in this early-warning system is a website that provides near real-time, county-level information on the location of the disease. We consider factors that may influence information value.

Suggested Citation

  • Michael J. Roberts & David Schimmelpfennig & Michael J. Livingston & Elizabeth Ashley, 2009. "Estimating the Value of an Early-Warning System," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(2), pages 303-329.
  • Handle: RePEc:oup:revage:v:31:y:2009:i:2:p:303-329.
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    File URL: http://hdl.handle.net/10.1111/j.1467-9353.2009.01439.x
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    References listed on IDEAS

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    1. Roberts, Michael J. & Schimmelpfennig, David E. & Ashley, Elizabeth & Livingston, Michael J. & Ash, Mark S. & Vasavada, Utpal, 2006. "The Value of Plant Disease Early-Warning Systems: A Case Study of USDA's Soybean Rust Coordinated Framework," Economic Research Report 7208, United States Department of Agriculture, Economic Research Service.
    2. Gerald A. Carlson, 1970. "A Decision Theoretic Approach to Crop Disease Prediction and Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 52(2), pages 216-223.
    3. 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.
    4. David E. Schimmelpfennig & George W. Norton, 2003. "What is the Value of Agricultural Economics Research?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 81-94.
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    1. Stéphane Couture & Stéphane Lemarié & Sabrina Teyssier & Pascal Toquebeuf, 2024. "The value of information under ambiguity: a theoretical and experimental study on pest management in agriculture," Theory and Decision, Springer, vol. 96(1), pages 19-47, February.
    2. Bekkerman, Anton & Piggott, Nicholas E. & Goodwin, Barry K. & Jefferson-Moore, Kenrett, 2012. "A Market-based Mitigation Program for Wind-borne Diseases," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(2), pages 175-188, August.
    3. Thakur, Tiesta & Homans, Frances R. & Haight, Robert G. & Hurley, Terrance M., 2018. "Valuing Monitoring Networks for New Pathogens: The Case of Soybean Rust," 2018 Annual Meeting, August 5-7, Washington, D.C. 273870, Agricultural and Applied Economics Association.
    4. McFadden, Jonathan R., 2017. "Yield Maps, Soil Maps, and Technical Efficiency: Evidence from U.S. Corn Fields," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258120, Agricultural and Applied Economics Association.

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