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The Price Responsiveness of U.S. Corn Yields

Author

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  • Gallagher, Paul W.
  • Houck, James P.

Abstract

Production economics theory shows that the pro fit-maximizing output of a commodity depends, among other things, upon product and input prices. Supply functions consistent with this theory have been estimated for many agricultural crops both in the United States and elsewhere. However, the biological nature of the production process, the time lags involved between planting and harvest, and the generally extensive use of land and climate leads naturally to the separation of total crop production into acreage and yield components. Typically, acreage is viewed as the major decision variable with respect to input and output prices. Per acre yields are generally regarded as dependent upon technological trends, weather, and other more or less noneconomic influences. The recent work by Perrin and Heady is a good example of this approach. Only a little literature exists on attempts to measure the price responsiveness of crop yields (Guise, Hee, Krishna), although some recent methodological work can be found (Whitaker). This note concerns the price responsiveness of U.S. corn yields when both output and input prices are considered.

Suggested Citation

  • Gallagher, Paul W. & Houck, James P., 1976. "The Price Responsiveness of U.S. Corn Yields," Staff General Research Papers Archive 12563, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:12563
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    Cited by:

    1. Weng, Weizhe & Cobourn, Kelly M. & Kemanian, Armen R. & Boyle, Kevin J. & Shi, Yuning & Stachelek, Joseph & White, Charles, 2020. "Quantifying Co-Benefits of Water Quality Policies: An Integrated Assessment Model of Nitrogen Management," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304667, Agricultural and Applied Economics Association.
    2. Knudson, Mary & Hansen, LeRoy, 1991. "Intellectual Property Rights and the Private Seed Industry," Agricultural Economic Reports 308158, United States Department of Agriculture, Economic Research Service.
    3. Liu, Karen, 1981. "Multiple Crop Supply and Factor Demand Component of the World Grains, Oilseeds, and Livestock Model," Staff Reports 276718, United States Department of Agriculture, Economic Research Service.
    4. Amalavoyal Chari & Elaine M Liu & Shing-Yi Wang & Yongxiang Wang, 2021. "Property Rights, Land Misallocation, and Agricultural Efficiency in China [Misallocation, Selection and Productivity: A Quantitative Analysis with Panel Data from China]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 1831-1862.
    5. Cleveland, Cutler J., 1995. "Resource degradation, technical change, and the productivity of energy use in U.S. agriculture," Ecological Economics, Elsevier, vol. 13(3), pages 185-201, June.
    6. Liu, Karen, 1985. "A Grain, Oilseeds, and Livestock Model of Japan," Staff Reports 277786, United States Department of Agriculture, Economic Research Service.
    7. Bahreinian, Aniss, 1987. "EC common agricultural policy and the world trade in feed grain: a multi-region nonspatial price equilibrium analysis," ISU General Staff Papers 198701010800009612, Iowa State University, Department of Economics.
    8. Min, S. & Wang, X. & Liu, M. & Huang, J., 2018. "The Asymmetric Response of Farmers to the Expected Change of Rubber Price: the Roles of Sunk Cost and Path Dependency," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277316, International Association of Agricultural Economists.
    9. Min, Shi & Wang, Xiaobing & Liu, Min & Huang, Jikun, 2018. "The asymmetric response of farmers to an expected change in the price of rubber: The roles of sunk costs and path dependency," Land Use Policy, Elsevier, vol. 79(C), pages 585-594.
    10. Hildegart Ahumada & Magdalena Cornejo, 2021. "Are Soybean Yields Getting a Free Ride from Climate Change? Evidence from Argentine Time Series Data," Econometrics, MDPI, vol. 9(2), pages 1-14, June.
    11. Jouf, C. & Lawson, L.A., 2022. "European farmers’ responses to higher commodity prices: Cropland expansion or forestlands preservation?," Ecological Economics, Elsevier, vol. 191(C).
    12. Weaver, Robert D., 1980. "Measurement and Forecasting of Agricultural Productivity," Staff Paper Series 256838, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    13. Ekanem, Enefiok P. & Sundquist, W. Burt, 1993. "Estimating Marginal Implicit Prices For Selected Quality Attributes Of Hybrid Seed Corn," Staff Papers 13473, University of Minnesota, Department of Applied Economics.
    14. Shahbaz Bhatti & Sarfraz Hassan & Khalid Mushtaq & Kamran Javed, 2020. "Investigation The Impact Of Climate Change On Productivity Of Cotton: Empirical Evidence From Cotton Zone," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 2(1), pages 1-4, February.
    15. Sukcharoen, Kunlapath & Golden, Bill & Vestal, Mallory & Guerrero, Bridget, 2020. "Do crop price expectations matter? An analysis of groundwater pumping decisions in Western Kansas," Agricultural Water Management, Elsevier, vol. 231(C).
    16. Chouaib Jouf & Laté Lawson, 2021. "European farmers’ responses to higher commodity prices: cropland expansion or forestlands preservation?," EconomiX Working Papers 2021-10, University of Paris Nanterre, EconomiX.
    17. Yi, Fujin & Jiang, Fei & Zhong, Funing & Ding, Aijun & Zhou, Xun, 2015. "Impacts of Surface Ozone Pollution on Crop Productivity: Evidence from Winter Wheat in China," 2015 Conference, August 9-14, 2015, Milan, Italy 211866, International Association of Agricultural Economists.
    18. Liu, Hsiang-Hsi, 1983. "An annual simultaneous equation econometric model of U.S. corn and soybean cash and futures markets," ISU General Staff Papers 198301010800009935, Iowa State University, Department of Economics.
    19. Boussios, David & Barkley, Andrew P., 2012. "Kansas Grain Supply Response to Economic and Biophysical Factors, 1977-2007," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124385, Agricultural and Applied Economics Association.
    20. Langley, James A., 1983. "Regional acreage response functions for major US field crops: estimation and policy implications," ISU General Staff Papers 198301010800008678, Iowa State University, Department of Economics.

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