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Estimating the State-by-State Economic Impacts of a Foot-and-Mouth Disease Attack

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Listed:
  • Bumsoo Lee
  • Jiyoung Park
  • Peter Gordon
  • James E. Moore II
  • Harry W. Richardson

Abstract

The agricultural sector is highly vulnerable to bioterrorism attacks with the potential for severe economic consequences. This article presents estimates of state-by-state total economic impacts of a hypothetical agroterrorism attack that uses foot-and-mouth disease (FMD) pathogens, which is one of the most contagious animal diseases and can be easily weaponized. The authors estimate the economic impacts across the U.S. states by applying the National Interstate Economic Model (NIEMO), a multiregional input output (MRIO) model. Total economic impacts range from $23 billion to $34 billion. The overwhelming sources of the losses are due to domestic and international demand cuts. The results of this research highlight the point that the economic impacts are nationwide, regardless of the location of the attack because of large-scale export losses.

Suggested Citation

  • Bumsoo Lee & Jiyoung Park & Peter Gordon & James E. Moore II & Harry W. Richardson, 2012. "Estimating the State-by-State Economic Impacts of a Foot-and-Mouth Disease Attack," International Regional Science Review, , vol. 35(1), pages 26-47, January.
  • Handle: RePEc:sae:inrsre:v:35:y:2012:i:1:p:26-47
    DOI: 10.1177/0160017610390939
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    References listed on IDEAS

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    Cited by:

    1. Kim, Man-keun, 2015. "Supply Driven Input-Output Analysis: Case of 2010-2011 Foot-and-Mouth Disease in Korea," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 38(2), pages 1-16, June.
    2. Rohn, Eli & Erez, Gil, 2013. "A framework for agro-terrorism intentions detection using overt data sources," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1877-1884.
    3. Kim, Man-Keun & Tejeda, Hernan, 2018. "Implicit Cost of the 2010 Foot-and-Mouth Disease in Korea," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 120(3), December.

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