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Climate Change and Agricultural Risk Management Into the 21st Century

Author

Listed:
  • Crane-Droesch, Andrew
  • Marshall, Elizabeth
  • Rosch, Stephanie
  • Riddle, Anne
  • Cooper, Joseph
  • Wallander, Steven

Abstract

Programs that help farmers manage risk are a major component of the Federal Government’s support to rural America. Changes to this risk—and thus to the Government’s fiscal exposure—are expected as weather averages and extremes change over the coming decades. This study uses a combination of statistical and economic modeling techniques to explore the mechanisms by which climate change could affect the cost of the Federal Crop Insurance Program (FCIP) to the Federal Government, which accounts for approximately half of Government expenditures on agricultural risk management. Our approach is to compare scenarios of the future that differ only in terms of climate. Using weather scenarios for 2060-99 from general circulation models, we project decreases in corn and soybean yields and mixed changes to winter wheat yields, compared to a baseline scenario in which climate is identical to that of the past three decades. We use an economic model of the U.S. agricultural sector to estimate how projected yield changes may induce farmers to change what and where they plant, and the resulting impacts on production and output prices. These ingredients allow us to explore drivers of change in the cost of the FCIP’s Revenue Protection program, which is used as a heuristic for potential farm safety net programs that could exist in the future. Differences between the scenarios are driven by increasing prices for the three crops studied, caused by relatively lower production in the presence of inelastic demand, as well as by changing volatility in both yields and prices.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:uersrr:292268
    DOI: 10.22004/ag.econ.292268
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    Cited by:

    1. Reyes, Julian & Elias, Emile & Haacker, Erin & Kremen, Amy & Parker, Lauren & Rottler, Caitlin, 2020. "Assessing agricultural risk management using historic crop insurance loss data over the ogallala aquifer," Agricultural Water Management, Elsevier, vol. 232(C).
    2. Ruchi Avtar & Kristian S. Blickle & Rajashri Chakrabarti & Janavi Janakiraman & Maxim L. Pinkovskiy, 2023. "Understanding the Linkages between Climate Change and Inequality in the United States," Economic Policy Review, Federal Reserve Bank of New York, vol. 29(1), pages 1-39, June.
    3. Katherine Baldwin & Anne Effland, 2022. "Integrating prevention into the risk management policy toolkit: A strategy for improving resilience to extreme events," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1222-1240, September.
    4. Carolyn Chisadza & Matthew Clance & Xin Sheng & Rangan Gupta, 2023. "Climate Change and Inequality: Evidence from the United States," Sustainability, MDPI, vol. 15(6), pages 1-11, March.
    5. Cécile Couharde & Rémi Generoso, 2023. "The financial cost of stabilizing US farm income under climate change," EconomiX Working Papers 2023-18, University of Paris Nanterre, EconomiX.
    6. Sajid, Osama & Ifft, Jennifer & Ortiz-Bobea, Ariel, 2023. "The impact of extreme weather on farm finance - evidence from Kansas," 2023 Annual Meeting, July 23-25, Washington D.C. 335443, Agricultural and Applied Economics Association.
    7. Itai Trilnick & David Zilberman, 2021. "Microclimate Engineering for Climate Change Adaptation in Agriculture: The Case of California Pistachios," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1342-1358, August.

    More about this item

    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy; Farm Management; Research Methods/ Statistical Methods; Risk and Uncertainty;
    All these keywords.

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