Economic Impacts of Soybean Rust on the US Soybean Sector
AbstractThe spread of Asian Soybean Rust (ASR) represents a real threat to the U.S. soybean sector. We assess the potential impacts of ASR on domestic soybean production and commodity markets as well as the competitive position of the US in the soybean export market. We develop a mathematical stochastic dynamic sector model with endogenous prices to assess the economic impacts of ASR on US agriculture. The model takes into account the disease spread during the cropping season, the inherent uncertainty regarding the risk of infection, and the dichotomous decisions that farmers make (no treatment, preventive treatment, and curative treatment) facing the risk of infection. Our results suggest substantial impacts from potential ASR spread on agricultural output, prices and exports. Our simulation results suggest that substantial losses to the US soybean producers may be avoided by establishing effective soybean rust controls. ASR control policies can be particularly efficient if applied in the gateway regions on the path of the ASR spread. On the other hand, our results indicate a possible gradual shift in soybean production from lower-latitude states toward higher-latitude states
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin with number 49595.
Date of creation: 2009
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Asian Soybean Rust; Stochastic Models; Dynamic Models; Crop Production/Industries; C61; Q13;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-05-16 (All new papers)
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- 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), December.
- Roberts, Michael J. & Schimmelpfennig, David E., 2006. "Public Information Creates Value," Amber Waves, United States Department of Agriculture, Economic Research Service, April.
- Johansson, Robert C. & Livingston, Michael J. & Westra, John V. & Guidry, Kurt M., 2006. "Simulating the U.S. Impacts of Alternative Asian Soybean Rust Treatment Regimes," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(1), April.
- Roberts, Michael J. & Schimmelpfennig, David E. & Ashley, Elizabeth & Livingston, Michael J. & Ash, Mark & 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.
- Carroll, Christine & Carter, Colin & Goodhue, Rachael & Lin, C.-Y. Cynthia & Subbarao, Krishna, 2013. "Bioeconomic Modeling of an Imported Disease in California Lettuce," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150495, Agricultural and Applied Economics Association.
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