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Impact of renewable fuels standard ethanol mandates on the corn market

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  • John D. Anderson

    (Department of Agricultural Economics, P.O. Box 5187, Mississippi State University, MI 39762)

  • Keith H. Coble

    (Department of Agricultural Economics, Mississippi State University, MI 39762)

Abstract

Since 2002, the Renewable Fuels Standard has established mandated levels of ethanol blending in gasoline. Mandated ethanol use represents an important component of ethanol demand. Thus, the ethanol mandates influence derived demand for corn. This work investigates the potential impact of ethanol mandates on equilibrium corn prices and quantities, focusing on how the mandates influence market participant expectations. Results illustrate that due to the stochastic nature of supply and demand shocks, even a mandate that is technically nonbinding can have a substantial impact on corn prices and quantities through the mandate's impact on the price-responsiveness of demand from the ethanol sector. [JEL classifications: Q13, Q42, Q48]. © 2010 Wiley Periodicals, Inc.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Agribusiness.

Volume (Year): 26 (2010)
Issue (Month): 1 ()
Pages: 49-63

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Handle: RePEc:wly:agribz:v:26:y:2010:i:1:p:49-63

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Web page: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297

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  1. Holt, Matthew T & Johnson, Stanley R, 1989. "Bounded Price Variation and Rational Expectations in an Endogenous Switching Model of the U.S. Corn Market," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 605-13, November.
  2. Park, Hwanil & Fortenbery, T. Randall, 2007. "The Effect of Ethanol Production on the U.S. National Corn Price," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37565, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  3. Shonkwiler, J S & Maddala, G S, 1985. "Modeling Expectations of Bounded Prices: An Application to the Market for Corn," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 697-702, November.
  4. Maddala, G S, 1983. "Methods of Estimation for Models of Markets with Bounded Price Variation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(2), pages 361-78, June.
  5. Gardner, Bruce L., 2003. "Fuel Ethanol Subsidies And Farm Price Support: Boon Or Boondoggle?," Working Papers 28599, University of Maryland, Department of Agricultural and Resource Economics.
  6. Goodwin, Thomas H & Sheffrin, Steven M, 1982. "Testing the Rational Expectations Hypothesis in an Agricultural Market," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 658-67, November.
  7. Marsh, John M., 2007. "Cross-Sector Relationships Between the Corn Feed Grains and Livestock and Poultry Economies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(01), April.
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Cited by:
  1. Tristan Skolrud & Gregmar Galinato & Suzette Galinato & Richard Shumway & Jonathan Yoder, 2014. "The Role of Market Structure and Federal Renewable Fuel Standards in the Growth of the Cellulosic Biofuel Sector," Working Papers 2014-02, School of Economic Sciences, Washington State University.
  2. Condon, Nicole & Klemick, Heather & Wolverton, Ann, 2013. "Impacts of Ethanol Policy on Corn Prices: A Review and Meta-Analysis of Recent Evidence," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149940, Agricultural and Applied Economics Association.
  3. Bai, Yun & Ouyang, Yanfeng & Pang, Jong-Shi, 2012. "Biofuel supply chain design under competitive agricultural land use and feedstock market equilibrium," Energy Economics, Elsevier, vol. 34(5), pages 1623-1633.
  4. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
  5. David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, 01.

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