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USDA Indemnity Values for 2022: Commercial Table

Author

Listed:
  • Forsythe, Ken
  • Ham, Charlotte
  • Gabrielyan, Georgi
  • Animal and Plant Health Inspection Service, Veterinary Services
  • Farm Service Agency
  • Farm Production and Conservation Business Center

Abstract

Excerpts from the report: This document contains indemnity values for commercial animal agricultural commodities intended for use across U.S. Department of Agriculture (USDA) agencies or business units that deal with indemnity programs. These entities include the USDA Animal and Plant Health Inspection Service (APHIS) Veterinary Services (VS), USDA Farm Service Agency (FSA), and the USDA Farm Production and Conservation Business Center (FPAC-BC). The commercial indemnity values presented here represent harmonized methods and data sources at the USDA level. Use of these values by APHIS-VS, FSA, and FPAC-BC will vary according to program differences across these agencies and business units. These commercial indemnity values are estimated based on observable market transactions available from nationally recognized data sources including the USDA Agricultural Marketing Service (AMS), the USDA National Agricultural Statistics Service (NASS), and the Livestock Marketing Information Center (LMIC). These data provide observations of market transactions occurring at fair market value (FMV), which provide the basis for the estimates. The objectives of the changes to indemnity valuations are to: (1) Develop a transparent and data-driven indemnity value matrix to set indemnity values for all regulated species (USDA APHIS 9 CFR, Parts 50-56) and other relevant species. (2) Harmonize methods and data sources between the USDA APHIS VS, FSA, and the FPAC-BC.

Suggested Citation

  • Forsythe, Ken & Ham, Charlotte & Gabrielyan, Georgi & Animal and Plant Health Inspection Service, Veterinary Services & Farm Service Agency & Farm Production and Conservation Business Center, 2022. "USDA Indemnity Values for 2022: Commercial Table," USDA Miscellaneous 330124, United States Department of Agriculture.
    • Handle: RePEc:ags:usdami:330124
    DOI: 10.22004/ag.econ.330124
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    Cited by:

    1. Park, Musik & Wang, Zhiyuan & Li, Lanyu & Wang, Xiaonan, 2023. "Multi-objective building energy system optimization considering EV infrastructure," Applied Energy, Elsevier, vol. 332(C).
    2. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).

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