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A Market-based Mitigation Program for Wind-borne Diseases

Published online by Cambridge University Press:  15 September 2016

Anton Bekkerman ,
Nicholas E. Piggott ,
Barry K. Goodwin  and
Kenrett Jefferson-Moore
Anton Bekkerman
Affiliation:
Montana State University
Nicholas E. Piggott
Affiliation:
North Carolina State University
Barry K. Goodwin
Affiliation:
North Carolina State University
Kenrett Jefferson-Moore
Affiliation:
North Carolina A&T State University
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Abstract

Wind-borne diseases can spread rapidly and cause large losses. Producers may have little incentive to prevent disease spread because prevention may not be welfare-maximizing. This study proposes a market-based mitigation program that indemnifies producers against disease-related losses and provides an incentive to neighboring producers to take preventive action, which can substantially mitigate infestations, reduce the likelihood of catastrophic losses, and increase social welfare. An equilibrium displacement model simulates introduction of the program for U.S. soybeans. Simulations reveal that the market-based solution contributes to minor market distortions but also reduces social welfare losses and could succeed for other at-risk commodities.

Keywords

check-offequilibrium displacement modelinvasive speciessoybean rustwelfare effectswind-borne disease
Type
Research Article
Information
Agricultural and Resource Economics Review , Volume 41 , Issue 2 , August 2012 , pp. 175 - 188
Copyright
Copyright © 2012 Northeastern Agricultural and Resource Economics Association 

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References

Agricultural Marketing Service. 2011. “Peanut Promotion, Research, and Information Order.” AMS, U.S. Department of Agriculture, Washington, D.C. Available at http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateN&page=FVResearchandPromotionPeanuts (accessed January 15, 2012).Google Scholar
Animal and Plant Health Inspection Service. 2010. “Plant Health.” APHIS, U.S. Department of Agriculture, Washington, D.C. Available at http://www.aphis.usda.gov/plant_health/plant_pest_info/kb/index.shtml (accessed June 25, 2010).Google Scholar
Aultman, S., Hurley, T., Homans, F., and Haight, R. 2010. “Valuing Monitoring Networks for Invasive Species: The Case of Soybean Rust.” Paper presented at the Agricultural and Applied Economics Association Annual Meeting, Denver, CO. Available at http://ageconsearch.umn.edu/handle/62011 (accessed January 15, 2012).Google Scholar
Becker, G. 2008. “Federal Farm Promotion (‘Check-Off’) Programs.” Report for Congress Order Code 93–353, Congressional Research Service, Washington, D.C. Available at http://www.policyarchive.org/handle/10207/bitstreams/264.pdf.Google Scholar
Bekkerman, A., Goodwin, B., and Piggott, N. 2008. “Spatio-temporal Risk and Severity Analysis of Soybean Rust in the United States.” Journal of Agricultural and Resource Economics 33(3): 311–331.Google Scholar
Bennett, D. 2008. “Rust Alert System Funding Shaky.” Southeast Farm Press, April 11. Available at http://southeastfarmpress.com/soybeans/soybean-rust-0411 (accessed January 20, 2009).Google Scholar
Brown, J., and Hovmeller, M. 2002. “Aerial Dispersal of Pathogens on the Global and Continental Scales and Its Impact on Plant Disease.” Science 297(5581): 537–540.Google Scholar
Comes, R. 1993. “Dyke Maintenance and Other Stories: Some Neglected Types of Public Goods.” The Quarterly Journal of Economics 108(1): 259–271.Google Scholar
Costanza, R., and Perrings, C. 1990. “A Flexible Assurance Bonding System for Improved Environmental Management.” Ecological Economics 2(1): 57–75.Google Scholar
Davis, J. 1987. “Modeling the Long-range Transport of Plant Pathogens in the Atmosphere.” Annual Review of Phytopathology 25: 169–188.Google Scholar
Delta Farm Press. 2011. “Sorghum Check-off Approved.” April 6. Available at http://deltafarmpress.com/government/sorghum-check-off-approved (accessed January 15, 2012).Google Scholar
Duffy, P., and Wohlgenant, M. 1991. “Effects of an Export Subsidy on the U.S. Cotton Industry.” Southern Journal of Agricultural Economics 23(2): 1–7.Google Scholar
Economics, Statistics, and Market Information System. 2007. World Agricultural Supply and Demand Estimates. Mann Library, Albert R., Cornell University, Ithaca, NY. Available at http://usda.mannlib.cornell.edu/MannUsda/viewDocumentInfo.do?documentID=1194 (accessed June 25, 2010).Google Scholar
Food and Agricultural Policy Research Institute. 2004. “Documentation of the FAPRI Modeling System.” FAPRI-UMC Report 12–04, Columbia, MO. Available at http://www.fapri.missouri.edu/outreach/publications/2004/FAPRI_umc_Report_12_04.pdf (accessed June 15, 2010).Google Scholar
Gardner, B. 1975. “The Farm-Retail Price Spread in a Competitive Food Industry.” American Journal of Agricultural Economics 57(3): 399–409.Google Scholar
Goodwin, B., and Piggott, N. 2009. “Spatio-Temporal Modeling of Asian Citrus Canker Risks: Implications for Insurance and Indemnification Fund Models.” American Journal of Agricultural Economics 91(4): 1038–1055.Google Scholar
Gottwald, T., Hughes, G., Graham, J., Sun, X., and Riley, T. 2001. “The Citrus Canker Epidemic in Florida: The Scientific Basis of Regulatory Eradication Policy for an Invasive Species.” Phytopathology 91(1): 30–34.Google Scholar
Horan, R.D., and Lupi, F. 2005. “Tradeable Risk Permits to Prevent Future Introductions of Invasive Alien Species into the Great Lakes.” Ecological Economics 52(3): 289–304.Google Scholar
Johansson, R., Livingston, M., Westra, J., and Guidry, K. 2006. “Simulating the U.S. Impact of Alternative Asian Soybean Rust Treatment Regimes.” Agricultural and Resource Economics Review 35(1): 116–127.Google Scholar
Kim, C., Schaibe, G., Garrett, L., Lubowski, R., and Lee, D. 2008. “Economic Impacts of the U.S. Soybean Aphid Infestation: A Multi-regional Competitive Dynamic Analysis.” Agricultural and Resource Economics Review 37(2): 227–242.Google Scholar
Livingston, M. 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 39(3): 547–560.Google Scholar
Livingston, M., Johansson, M., Daberkow, R., Roberts, M., Ash, M., and Breneman, V. 2004. “Economic and Policy Implications of Wind-borne Entry of Asian Soybean Rust into the United States.” Outlook Report OCS04D02, Economic Research Service, U.S. Department of Agriculture, Washington, D.C.Google Scholar
Mullen, J., Wohlgenant, M., and Farris, D. 1988. “Input Substitution and the Distribution of Surplus Gains from Lower U.S. Beef-Processing Cost.” American Journal of Agricultural Economics 70(2): 245–254.Google Scholar
Muth, R. 1964. “The Derived Demand for a Productive Factor and the Industry Supply Curve.” Oxford Economic Papers 16(2): 221–234.Google Scholar
Palm, M. 2001. “Systematics and the Impact of Invasive Fungi on Agriculture in the United States.” BioScience 51(2): 141–147.Google Scholar
Piggott, R., Piggott, N., and Wright, V. 1995. “Approximating Farm-Level Returns to Incremental Advertising Expenditure: Methods and an Application to the Australian Meat Industry.” American Journal of Agricultural Economics 77(3): 497–511.Google Scholar
Piggott, N., and Wohlgenant, M. 2002. “Price Elasticities, Joint Products, and International Trade.” Australian Journal of Agricultural and Resource Economics 46(4): 487–500.Google Scholar
Richards, T., Eaves, J., Manfredo, M., Naranjo, S., Chu, C.C., and Henneberry, T. 2008. “Spatial-temporal Model of Insect Growth, Diffusion, and Derivative Pricing.” American Journal of Agricultural Economics 90(4): 962–978.Google Scholar
Richards, T., Ellsworth, P., Tronstad, R., and Naranjo, S. 2010. “Market-based Instruments for the Optimal Control of Invasive Insect Species: B. tabaci in Arizona.” Journal of Agricultural and Resource Economics 35(3): 349–367.Google Scholar
Roberts, M., Schimmelpfennig, D., Ashley, E., and Livingston, M. 2006. “The Value of Plant Disease Early-warning Systems: A Case Study of USDA's Soybean Rust Coordinated Framework.” Available at http://www.ers.usda.gov/publications/err18/err18fm.pdf (accessed June 25, 2010).Google Scholar
Roberts, M., Schimmelpfennig, D., Livingston, M., and Ashley, E. 2009. “Estimating the Value of an Early-warning System.” Review of Agricultural Economics 31(2): 303–329.Google Scholar
Roelfs, A. 1989. “Epidemiology of the Cereal Rusts in North America.” Canadian Journal of Plant Pathology 11(1): 89–90.Google Scholar
Shiyomi, M., and Koizumi, H. (eds.). 2001. Structure and Function in Agroecosystem Design and Management. Boca Raton, FL: CRC Press.Google Scholar
Shogren, J.F., Herriges, J.A., and Govindasamy, R. 1993. “Limits to Environmental Bonds.” Ecological Economics 8(2): 109–133.Google Scholar
Smith, V., and Goodwin, B. 1996. “Crop Insurance, Moral Hazard, and Agricultural Chemical Use.” American Journal of Agricultural Economics 78(2): 428–438.Google Scholar
Southern Farm Network Today. 2011. “Producer Attitudes Survey Shows Record High Support of Soybean Check-off.” April 27 (available at http://sfntoday.com/audio/default.aspx?programID=2&audioID=4561).Google Scholar
Wood, S., Alexseiv, A., and Nguyen, V. 1999. “Effectiveness and Economical Impact of Vaccination against Influenza among a Working Population in Moscow.” Vaccine 17(3): S81–S87.Google Scholar