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The Stocking Impact and Financial-Climate Risk of the Livestock Forage Disaster Program

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  • Hrozencik, R. Aaron
  • Perez-Quesada, Gabriela
  • Bocinsky, Kyle

Abstract

Drought imposes significant costs on the U.S. agricultural sector, particularly for livestock producers who rely on precipitation to grow forage. The U.S. Department of Agriculture (USDA) administers several programs to mitigate the economic costs of drought. One of these programs is the USDA, Farm Service Agency’s (FSA) Livestock Forage Disaster Program (LFP), which provides payments to livestock producers impacted by drought. Program evaluation results suggest that producers in drought affected counties that received LFP payments achieved similar herd retention and liquidation outcomes as producers in less drought impacted counties that were ineligible for LFP payments. Simulation modeling results in this report suggest that LFP poses a financial-climate risk to the Federal budget. Depending on the future increase in greenhouse gas (GHG) emissions, annual Federal Government expenditures on LFP are projected to increase above the current average expenditures by 45–135 percent (in 2022 dollars) by 2100.

Suggested Citation

  • Hrozencik, R. Aaron & Perez-Quesada, Gabriela & Bocinsky, Kyle, 2024. "The Stocking Impact and Financial-Climate Risk of the Livestock Forage Disaster Program," Economic Research Report 340568, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uersrr:340568
    DOI: 10.22004/ag.econ.340568
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    1. Tianbao Zhao & Aiguo Dai, 2017. "Uncertainties in historical changes and future projections of drought. Part II: model-simulated historical and future drought changes," Climatic Change, Springer, vol. 144(3), pages 535-548, October.
    2. Baldwin, Katherine & Williams, Brian & Tsiboe, Francis & Effland, Anne & Turner, Dylan & Pratt, Bryan & Jones, Jordan & Toossi, Saied & Hodges, Leslie, 2023. "U.S. Agricultural Policy Review, 2021," USDA Miscellaneous 333549, United States Department of Agriculture.
    3. de Mello Luiz & Martinez-Vazquez Jorge, 2022. "Climate Change Implications for the Public Finances and Fiscal Policy: An Agenda for Future Research and Filling the Gaps in Scholarly Work," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 16(1), pages 194-198, January.
    4. Crane-Droesch, Andrew & Marshall, Elizabeth & Rosch, Stephanie & Riddle, Anne & Cooper, Joseph & Wallander, Steven, 2019. "Climate Change and Agricultural Risk Management Into the 21st Century," Economic Research Report 292268, United States Department of Agriculture, Economic Research Service.
    5. Joseph W. Glauber, 2013. "The Growth Of The Federal Crop Insurance Program, 1990--2011," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 482-488.
    6. Dhoubhadel, Sunil P. & Azzam, Azzeddine M. & Stockton, Matthew C., 2015. "The Impact Of Biofuels Policy And Drought On The U.S. Grain And Livestock Markets," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 47(1), pages 77-103, February.
    7. Elisabeth A. Gilmore & Carolyn Kousky & Travis St.Clair, 2022. "Climate change will increase local government fiscal stress in the United States," Nature Climate Change, Nature, vol. 12(3), pages 216-218, March.
    8. Baldwin, Katherine & Williams, Brian & Sichko, Christopher & Tsiboe, Francis & Toossi, Saied & Jones, Jordan W. & Turner, Dylan & Raszap Skorbiansky, Sharon, 2023. "U.S. Agricultural Policy Review, 2022," Economic Information Bulletin 339005, United States Department of Agriculture, Economic Research Service.
    9. Zachary H. Hoylman & R. Kyle Bocinsky & Kelsey G. Jencso, 2022. "Drought assessment has been outpaced by climate change: empirical arguments for a paradigm shift," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    10. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    11. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    12. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    13. Leister, Amanda M. & Paarlberg, Philip L. & Lee, John G., 2015. "Dynamic Effects Of Drought On U.S. Crop And Livestock Sectors," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 47(2), pages 261-284, May.
    14. Countryman, Amanda M. & Paarlberg, Philip L. & Lee, John G., 2016. "Dynamic Effects of Drought on the U.S. Beef Supply Chain," Agricultural and Resource Economics Review, Cambridge University Press, vol. 45(3), pages 459-484, December.
    15. MacLachlan, Matthew & Ramos, Sean & Hungerford, Ashley & Edwards, Seanicaa, 2018. "Federal Natural Disaster Assistance Programs for Livestock Producers, 2008-16," Economic Information Bulletin 276251, United States Department of Agriculture, Economic Research Service.
    16. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    17. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    18. Patalee, M.A. Buddhika & Tonsor, Glynn T., 2021. "Impact of weather on cow-calf industry locations and production in the United States," Agricultural Systems, Elsevier, vol. 193(C).
    19. Seong Do Yun & Benjamin M. Gramig, 2019. "Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils," Data, MDPI, vol. 4(2), pages 1-20, May.
    20. Yusuke Kuwayama & Alexandra Thompson & Richard Bernknopf & Benjamin Zaitchik & Peter Vail, 2019. "Estimating the Impact of Drought on Agriculture Using the U.S. Drought Monitor," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(1), pages 193-210.
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    1. Turner, Dylan & Baldwin, Katherine & Beckman, Jayson & Nava, Noé J. & Tsiboe, Francis & Vaiknoras, Kate, 2024. "Potential Budgetary Impacts of Climate Change on the Pasture, Rangeland, and Forage Insurance Plan," Economic Brief 348571, United States Department of Agriculture, Economic Research Service.

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