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Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment

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Author Info
Breustedt, Gunnar
Muller-Scheessel, Jorg
Latacz-Lohmann, Uwe
Abstract

This paper explores farmers’ willingness to adopt genetically modified oilseed rape prior to its commercial release and estimates the ‘demand’ for the new technology. The analysis is based upon choice experiments with 202 German arable farmers. A multinomial probit estimation revealed that GM attributes such as gross margin, expected liability from cross pollination, or flexibility in returning to conventional oilseed rape significantly affect the likelihood of adoption. Neighbouring farmers’ attitudes towards GM cropping and a number of farmer and farm characteristics were also found to be significant determinants of prospective adoption. Demand simulations suggest that adoption rates are very sensitive to the profit difference between GM and non-GM rape varieties. A monopolistic seed price would substantially reduce demand for the new technology. A monopolistic seed supplier would reap between 45 and 80 per cent of the GM rent, and the deadweight loss of the monopoly would range between 15 and 30 per cent of that rent. The remaining rent for farmers may be too small to outweigh possible producer price discounts resulting from the costs of segregating GM and non-GM oilseed rape along the supply chain.

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Paper provided by Agricultural Economics Society in its series 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK with number 36771.

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Date of creation: 31 Mar 2008
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Handle: RePEc:ags:aes008:36771

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Keywords: adoption forecast; choice experiment; genetically modified oilseed rape; multinomial probit; technology adoption; C42; C81; Q12; Q16;

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  1. Krishna, Vijesh V. & Qaim, Matin, 2007. "Estimating the adoption of Bt eggplant in India: Who Benefits from public-private partnership?," Food Policy, Elsevier, vol. 32(5-6), pages 523-543. [Downloadable!] (restricted)
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  2. Bondonio, Daniele, 2002. "Evaluating the Employment Impact of Business Incentive Programs in EU Disadvantaged Areas. A case from Northern Italy," P.O.L.I.S. department's Working Papers 27, Department of Public Policy and Public Choice - POLIS. [Downloadable!]
  3. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-40, September. [Downloadable!] (restricted)
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  4. Fernandez-Cornejo, Jorge & McBride, William D., 2002. "Adoption Of Bioengineered Crops," Agricultural Economics Reports 33957, United States Department of Agriculture, Economic Research Service. [Downloadable!]
  5. Hubbell, Bryan J & Marra, Michele C & Carlson, Gerald A, 2000. " Estimating the Demand for a New Technology: Bt Cotton and Insecticide Policies," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 82(1), pages 118-32, February. [Downloadable!] (restricted)
  6. Matin Qaim & Alain de Janvry, 2003. "Genetically Modified Crops, Corporate Pricing Strategies, and Farmers' Adoption: The Case of Bt Cotton in Argentina," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 85(4), pages 814-828, November. [Downloadable!] (restricted)
  7. Jayson L. Lusk & Jutta Roosen & John A. Fox, 2003. "Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 85(1), pages 16-29, 02. [Downloadable!] (restricted)
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  8. Lusk, Jayson, 2002. "Effects Of Cheap Talk On Consumer Willingness-To-Pay For Golden Rice," 2002 Annual meeting, July 28-31, Long Beach, CA 19597, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
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  9. Marra, Michele C. & Hubbell, Bryan J. & Carlson, Gerald A., 2001. "Information Quality, Technology Depreciation, And Bt Cotton Adoption In The Southeast," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July. [Downloadable!]
  10. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February. [Downloadable!] (restricted)
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