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Estimating Corn Yield Response Models To Predict Impacts Of Climate Change

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Author Info

  • Dixon, Bruce L.
  • Hollinger, Steven E.
  • Garcia, Philip
  • Tirupattur, Viswanath
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    Abstract

    Projections of the impacts of climate change on agriculture require flexible and accurate yield response models. Typically, estimated yield response models have used fixed calendar intervals to measure weather variables and omitted observations on solar radiation, an essential determinant of crop yield. A corn yield response model for Illinois crop reporting districts is estimated using field data. Weather variables are time to crop growth stages to allow use of the model if climate change shifts dates of the crop growing season. Solar radiation is included. Results show this model is superior to conventionally specified models in explaining yield variation in Illinois corn.

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    File URL: http://purl.umn.edu/31229
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    Bibliographic Info

    Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

    Volume (Year): 19 (1994)
    Issue (Month): 01 (July)
    Pages:

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    Handle: RePEc:ags:jlaare:31229

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    Web page: http://waeaonline.org/
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    Related research

    Keywords: Crop Production/Industries;

    References

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    1. Beach, Robert H. & Thomson, Allison M. & McCarl, Bruce A., 2010. "Climate Change Impacts On Us Agriculture," Proceedings Issues, 2010: Climate Change in World Agriculture: Mitigation, Adaptation, Trade and Food Security, June 2010, Stuttgart- Hohenheim, Germany 91393, International Agricultural Trade Research Consortium.
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    Citations

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    Cited by:
    1. Deal, John, 2006. "The Relationship Between Economically and Environmentally Marginal Land," 2006 Annual meeting, July 23-26, Long Beach, CA 21119, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Quiroga, Sonia & Iglesias, Ana, 2009. "A comparison of the climate risks of cereal, citrus, grapevine and olive production in Spain," Agricultural Systems, Elsevier, vol. 101(1-2), pages 91-100, June.
    3. Ortiz-Bobea, Ariel, 2011. "Improving Agronomic Structure in Econometric Models of Climate Change Impacts," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103656, Agricultural and Applied Economics Association.
    4. Buaha, Gabriel Toichoa & Apland, Jeffrey & Hicks, Dale, 1995. "A Regression Analysis Of The Effects Of Planting Date And Variety On Corn Yields In Minnesota," Staff Papers 13872, University of Minnesota, Department of Applied Economics.
    5. Woodard, Joshua D. & Garcia, Philip, 2008. "Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(01), April.
    6. G√ľnter Lang, 2001. "Global Warming and German Agriculture Impact Estimations Using a Restricted Profit Function," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 19(2), pages 97-112, June.
    7. Chang, Ching-Cheng, 2002. "The potential impact of climate change on Taiwan's agriculture," Agricultural Economics, Blackwell, vol. 27(1), pages 51-64, May.
    8. Guenter Lang, 2003. "Land Prices and Climate Conditions - Evaluating the Greenhouse Damage for the German Agricultural Sector," Discussion Paper Series 233, Universitaet Augsburg, Institute for Economics.
    9. Chavas, Jean-Paul & Kim, Kwansoo & Lauer, Joseph G. & Klemme, Richard M. & Bland, William L., 2001. "An Economic Analysis Of Corn Yield, Corn Profitability, And Risk At The Edge Of The Corn Belt," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July.
    10. Zulfiqar, Farhad, 2010. "Estimation of Wheat Yield Response under different Economic, Location and Climatic Conditions in Punjab," MPRA Paper 26503, University Library of Munich, Germany.
    11. Guenter Lang, 1999. "Global Warming and German Agriculture," Discussion Paper Series 185, Universitaet Augsburg, Institute for Economics.
    12. Lehecka, Georg V., 2014. "The Value of USDA Crop Progress and Condition Information: Reactions of Corn and Soybean Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), April.

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