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Adaptation to Climate Change through Crop Choice: A High Resolution Analysis

Author

Listed:
  • Wang, Haoying
  • Ortiz-Bobea, Ariel
  • Chonabayashi, Shun

Abstract

Recent statistical studies suggest yields for major U.S. food crops will dramatically decrease under climate change due to the rise of extreme temperatures over the growing season. However, these results do not account for changes in the crop mix, therefore overestimating potential damages to the sector. In this study we seek to determine how the crop mix and growing regions would shift in response to climate change. The paper develops a dynamic multinomial discrete choice framework to model adaptation to climate change through crop choice. A major innovation of this study is the construction of a very large high-resolution data set for the econometric analysis and the computational procedure developed to obtain estimates. We combine data on crop cover (USDA Cropland Data Layer (CDL), 30*30 meter resolution) and climate variables (PRISM, 4*4 km resolution) for the study region, matched with crop prices and production costs at regional level. The data set provides billions of spatial units from which we sample for the spatial analysis. The main advantage of such an extensive and detailed data set is the careful consideration of the spatial heterogeneity within counties. The generality of our empirical framework allows prediction of crop choices at field level under various climate change scenarios. The preliminary empirical results show that both market state variables (yields, prices, and costs) and crop state variables (related to crop rotations) are important predictors of farmers' crop choice at field level.

Suggested Citation

  • Wang, Haoying & Ortiz-Bobea, Ariel & Chonabayashi, Shun, 2015. "Adaptation to Climate Change through Crop Choice: A High Resolution Analysis," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205840, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:205840
    DOI: 10.22004/ag.econ.205840
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    Cited by:

    1. Bahrami, Shahin & Rouhi Rad, Mani & Nayga, Rodolfo M., 2023. "Saving the Colorado River Through Conservation Payments to Irrigated Agriculture," 2023 Annual Meeting, July 23-25, Washington D.C. 335920, Agricultural and Applied Economics Association.
    2. Wallander, Steven & Bowman, Maria & Beeson, Peter & Claassen, Roger, 2017. "Farmers and Habits: The Challenge of Identifying the Sources of Persistence in Tillage Decisions," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266307, Agricultural and Applied Economics Association.
    3. Manning, Dale & Rad, Mani Rouhi & Ogle, Stephen, 2022. "Inferring the Supply of GHG Abatement from Agricultural Lands," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322539, Agricultural and Applied Economics Association.
    4. Wallander, Steven & Bowman, Maria S. & Claassen, Roger L., 2017. "Temporary Subsidies and Persistent Behavior: Evidence from Conservation Tillage," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259148, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Agricultural and Food Policy; Crop Production/Industries; Environmental Economics and Policy; Farm Management; Land Economics/Use; Production Economics; Research Methods/ Statistical Methods;
    All these keywords.

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