Planting Decisions and Uncertain Consumer Acceptance of Genetically Modified Crop Varieties
There exists much uncertainty about consumer attitudes toward genetically modified foods. If it happens that sufficient (insufficient) acres are planted under nonmodified seed to meet postharvest demand, then a price premium will not (will) emerge for the nonmodified varieties. A nonlinearity originates in the fact that a price premium may not be supported. This nonlinearity interacts with demand uncertainty to determine equilibrium plantings and the probability that postharvest varietal prices differ. Also, as planting approaches signals will be broadcast about the nature of postharvest demand. We show how the nonlinearity affects the types of signals that growers will prefer to receive. Copyright 2002, Oxford University Press.
Volume (Year): 84 (2002)
Issue (Month): 2 ()
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- Lapan, Harvey E & Moschini, Giancarlo, 2000.
"Incomplete Adoption of a Superior Innovation,"
London School of Economics and Political Science, vol. 67(268), pages 525-42, November.
- Jonathan Levin & Susan Athey, 2001.
"The Value of Information in Monotone Decision Problems,"
01003, Stanford University, Department of Economics.
- Susan Athey & Jonathan Levin, 1998. "The Value of Information In Monotone Decision Problems," Working papers 98-24, Massachusetts Institute of Technology (MIT), Department of Economics.
- Lence, Sergio H. & Hayes, Dermot J., 2001.
"Response to an Asymmetric Demand for Attributes: An Application to the Market for Genetically Modified Crops,"
Staff General Research Papers
11397, Iowa State University, Department of Economics.
- Sergio H. Lence & Dermot J. Hayes, 2001. "Response to an Asymmetric Demand for Attributes: An Application to the Market for Genetically Modified Crops," Midwest Agribusiness Trade Research and Information Center (MATRIC) Publications 01-mwp5, Midwest Agribusiness Trade Research and Information Center (MATRIC) at Iowa State University.
- Sergio H. Lence & Dermot J. Hayes, 2001. "Response to an Asymmetric Demand for Attributes: An Application to the Market for Genetically Modified Crops," Center for Agricultural and Rural Development (CARD) Publications 01-mwp5, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Lence, Sergio H. & Hayes, Dermot J., 2001. "Response To An Asymmetric Demand For Attributes: An Application To The Market For Genetically Modified Crops," 2001 Conference, April 23-24, 2001, St. Louis, Missouri 18956, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
- Babcock, Bruce A., 1990. "Value of Weather Information in Market Equilibrium (The)," Staff General Research Papers 10592, Iowa State University, Department of Economics.
- Milgrom, P. & Shannon, C., 1991.
"Monotone Comparative Statics,"
11, Stanford - Institute for Thoretical Economics.
- Henry, Claude, 1974. "Investment Decisions Under Uncertainty: The "Irreversibility Effect."," American Economic Review, American Economic Association, vol. 64(6), pages 1006-12, December.
- Fernandez-Cornejo, Jorge & McBride, William D., 2000. "Genetically Engineered Crops For Pest Management In U.S. Agriculture," Agricultural Economics Reports 33931, United States Department of Agriculture, Economic Research Service.
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