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Assessing agricultural risk management using historic crop insurance loss data over the ogallala aquifer

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  • Reyes, Julian
  • Elias, Emile
  • Haacker, Erin
  • Kremen, Amy
  • Parker, Lauren
  • Rottler, Caitlin

Abstract

Much of the agricultural production in the Ogallala Aquifer region relies on groundwater for irrigation. In addition to declining water levels, weather and climate-driven events affect crop yields and revenues. Crop insurance serves as a risk management tool to mitigate these perils. Here, we seek to understand what long-term crop insurance loss data can tell us about agricultural risk management in the Ogallala. We assess patterns and trends in crop insurance loss data from the U.S. Department of Agriculture Risk Management Agency. Indemnities, or insurance payments, totaled $22 billion from 1989–2017 for the 161 counties that overlie the Ogallala Aquifer. We focused on the top ten weather and climate-driven causes of crop loss for the Ogallala, which comprised at least 92% of total indemnities. Drought, hail, and heat were the leading causes of crop loss for the region, and varied over space and time. For example, drought is a significant cause of loss across all seasons, while hail is more prevalent in the spring and summer. Spatially heterogeneous patterns emerged showing larger hail indemnities in the northern Ogallala versus larger drought indemnities in the southern portion. We performed a Mann-Kendall trend analysis of county-level annual loss cost values (the ratio of indemnities to liabilities). Drought and excess moisture showed significant increasing loss cost trends in the western counties of the Ogallala. In contrast, hail showed significant decreasing trends in the northern and eastern portions. These results suggest the northern counties of the Ogallala may perceive hail as a greater risk, and may be better equipped to handle drought losses as compared with the southern Ogallala. Crop insurance loss data play a role in integrating long-term trends with near-term management practices, and providing relevant risk information in producers’ operational to tactical decision making processes.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:agiwat:v:232:y:2020:i:c:s037837741931368x
    DOI: 10.1016/j.agwat.2020.106000
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    1. 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.
    2. Erica Kistner & Olivia Kellner & Jeffrey Andresen & Dennis Todey & Lois Wright Morton, 2018. "Vulnerability of specialty crops to short-term climatic variability and adaptation strategies in the Midwestern USA," Climatic Change, Springer, vol. 146(1), pages 145-158, January.
    3. Roger Claassen & Christian Langpap & JunJie Wu, 2017. "Impacts of Federal Crop Insurance on Land Use and Environmental Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 592-613.
    4. Prokopy, Linda Stalker & Haigh, Tonya & Mase, Amber Saylor & Angel, Jim & Hart, Chad E. & Knutson, Cody & Lemos, Maria Carmen & Lo, Yun-Jia & McGuire, Jean & Morton, Lois Wright & Perron, Jennifer & T, 2013. "Agricultural Advisors: A Receptive Audience for Weather and Climate Information?," ISU General Staff Papers 201304010700001060, Iowa State University, Department of Economics.
    5. Coble, Keith H. & Heifner, Richard G. & Zuniga, Manuel, 2000. "Implications Of Crop Yield And Revenue Insurance For Producer Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-21, December.
    6. Haacker, Erin M.K. & Cotterman, Kayla A. & Smidt, Samuel J. & Kendall, Anthony D. & Hyndman, David W., 2019. "Effects of management areas, drought, and commodity prices on groundwater decline patterns across the High Plains Aquifer," Agricultural Water Management, Elsevier, vol. 218(C), pages 259-273.
    7. Caitriana Steele & Julian Reyes & Emile Elias & Sierra Aney & Albert Rango, 2018. "Cascading impacts of climate change on southwestern US cropland agriculture," Climatic Change, Springer, vol. 148(3), pages 437-450, June.
    8. Steward, David R. & Allen, Andrew J., 2016. "Peak groundwater depletion in the High Plains Aquifer, projections from 1930 to 2110," Agricultural Water Management, Elsevier, vol. 170(C), pages 36-48.
    9. Emile Elias & Julian Reyes & Caiti Steele & Albert Rango, 2018. "Diverse landscapes, diverse risks: synthesis of the special issue on climate change and adaptive capacity in a hotter, drier Southwestern United States," Climatic Change, Springer, vol. 148(3), pages 339-353, June.
    10. Wallander, Steven & Hellerstein, Daniel & Aillery, Marcel, 2013. "The Role of Conservation Program Design in Drought-Risk Adaptation," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 06, pages 1-1, July.
    11. Roger Claassen & Christian Langpap & JunJie Wu, 2017. "Impacts of Federal Crop Insurance on Land Use and Environmental Quality," American Journal of Agricultural Economics, John Wiley & Sons, vol. 99(3), pages 592-613, April.
    12. Kayla A. Cotterman & Anthony D. Kendall & Bruno Basso & David W. Hyndman, 2018. "Groundwater depletion and climate change: future prospects of crop production in the Central High Plains Aquifer," Climatic Change, Springer, vol. 146(1), pages 187-200, January.
    13. Fabian Barthel & Eric Neumayer, 2012. "A trend analysis of normalized insured damage from natural disasters," Climatic Change, Springer, vol. 113(2), pages 215-237, July.
    14. Wallander, Steven & Aillery, Marcel & Hellerstein, Daniel & Hand, Michael S., 2013. "The Role of Conservation Programs in Drought Risk Adaptation," Economic Research Report 262224, United States Department of Agriculture, Economic Research Service.
    15. Miguel A. Carriquiry & Daniel E. Osgood, 2012. "Index Insurance, Probabilistic Climate Forecasts, and Production," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(1), pages 287-300, March.
    16. Araya, A. & Gowda, P.H. & Golden, B. & Foster, A.J. & Aguilar, J. & Currie, R. & Ciampitti, I.A. & Prasad, P.V.V., 2019. "Economic value and water productivity of major irrigated crops in the Ogallala aquifer region," Agricultural Water Management, Elsevier, vol. 214(C), pages 55-63.
    17. Adam Smith & Richard Katz, 2013. "US billion-dollar weather and climate disasters: data sources, trends, accuracy and biases," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 387-410, June.
    18. Alex Sherbinin, 2014. "Climate change hotspots mapping: what have we learned?," Climatic Change, Springer, vol. 123(1), pages 23-37, March.
    19. Jean L. Steiner & David D. Briske & David P. Brown & Caitlin M. Rottler, 2018. "Vulnerability of Southern Plains agriculture to climate change," Climatic Change, Springer, vol. 146(1), pages 201-218, January.
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