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Dynamic Diffusion with Disadoption: The Case of Crop Biotechnology in the USA

Published online by Cambridge University Press:  15 September 2016

Jorge Fernandez-Cornejo
Affiliation:
U.S. Department of Agriculture, Washington, DC
Corinne Alexander
Affiliation:
Department of Agricultural and Resource Economics
Rachael E. Goodhue
Affiliation:
Department of Agricultural and Resource Economics and member of the Giannini Foundation, both at the University of California-Davis
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Abstract

Controversy over the use of genetically engineered (GE) crops may have induced some farmers to disadopt these seeds, making a traditional diffusion model inappropriate. In this study, we develop and estimate a dynamic diffusion model, examine the diffusion paths of GE corn, soybeans, and cotton, predict the adoption of those crops over the next two years, and explore the main determinants of the diffusion rate. Our estimates indicate that future growth of Bt crops will be slower or negative, depending mainly on the infestation levels of the target pests. Adoption of herbicide-tolerant soybeans and cotton will continue to increase, unless consumer sentiment in the United States changes radically.

Type
Articles
Copyright
Copyright © 2002 Northeastern Agricultural and Resource Economics Association 

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References

Alexander, C., Fernandez-Cornejo, J., and Goodhue, R. E. (2000a, August). “Farm Act ’96: Managing Farm Resources in a New Policy Environment” Paper presented at the Fourth International Conference on the Economics of Agricultural Biotechnology, Ravello, Italy.Google Scholar
Alexander, C., Fernandez-Cornejo, J., and Goodhue, R. E. (2000b). “The Effects of the GMO Controversy on Corn-Soybean Farmers’ Acreage Allocation Decisions.” Selected paper presented at the AAEA annual meetings, Tampa, FL, July 30-August 2.Google Scholar
Alexander, C., Fernandez-Cornejo, J., and Goodhue, R. E. (2001, Winter). “Iowa Producers’ Adoption of Bio-Engineered Varieties: Lessons for California.Agricultural and Resource Economics Update 4(2), 57. [Published by the University of California, Davis.]Google Scholar
Bjornson, B. (1998, Fall). “Capital Market Values of Agricultural Biotechnology Firms: How High and Why?AgBioforum 1(2), 6973.Google Scholar
Diebold, F. X. (1998). Elements of Forecasting. Cincinnati, OH: South Western College Publications.Google Scholar
Dixon, R. (1980). “Hybrid Corn Revisited.” Econometrica 48, 14511461.CrossRefGoogle Scholar
Dohlman, E., Hall, T., and Somwaru, A. (2000). “The Impact of Changing Consumer Preferences and Market Events on Agricultural Biotechnology Firm Equity Values.” Selected paper presented at the AAEA annual meetings, Tampa, FL, July 30-August 2.Google Scholar
Eichenwald, K. (2001, January 25). “Redesigning Nature: Hard Lessons Learned; Biotechnology Food: From the Lab to a DebacleThe New York Times, p. A1.Google Scholar
Fabi, R. (2001, January 10). “Poll-U.S. Farmers to Cut Bio-crop Output Only SlightlyReuters News Service. Online. Available at http://news.excite.com/news/r/010110/18/food-biotech-usa.Google Scholar
Fernandez-Cornejo, J., and McBride, W.D. (2000). “Genetically Engineered Crops for Pest Management in U.S. Agriculture: Farm-Level Effects.” Agricultural Economics Report No. 785, Economic Research Service, U.S. Department of Agriculture, Washington, DC.Google Scholar
Griliches, Z. (1957). “Hybrid Com: An Exploration in the Economics of Technological Change.” Econometrica 25, 501522.Google Scholar
Henderson, P. (1999, March). “Resistence Fighter: Here's the Advice on Bt Corn Refuge Design, Hybrid Selection.Soybean Digest, pp. 8485.Google Scholar
Jaffe, A. B., Newell, R. G., and Stavins, R. N. (2000). “Technological Change and the Environment.” Discussion Paper No. 00–47. Resources for the Future, Washington, DC.Google Scholar
Jarvis, L. S. (1981). “Predicting the Diffusion of Improved Pastures in Uruguay.” American Journal of Agricultural Economics 3, 495502.Google Scholar
Karshenas, M., and Stoneman, P. (1992). “A Flexible Model of Technological Diffusion Incorporating Economic Factors with an Application to the Spread of Colour Television Ownership in the UK.” Journal of Forecasting 11, 577601.Google Scholar
Knudson, M. K. (1991). “Incorporating Technological Change in Diffusion Models.” American Journal of Agricultural Economics 3, 724733.Google Scholar
Lin, W., Price, G. K., and Allen, E. (2001, April). “StarLink: Impacts on the U.S. Corn Market and World Trade.” In Feed Yearbook (pp. 4048). Pub. No. FDS-2001, USDA/Economic Research Service, Washington, DC.Google Scholar
Mahajan, V., and Peterson, R. A. (1985). Models for Innovation Diffusion. Sage University Paper Series on Quantitative Applications in the Social Sciences. Beverly Hills, CA: Sage Publications.Google Scholar
Pike, D. R. (1999, August 5). Cornfield ECB infestation data, 1997 crop year. University of Illinois Extension, College of Agricultural, Consumer, and Environmental Sciences, University of Illinois, Urbana-Champaign. Personal e-mail communication.Google Scholar
Rogers, E. M. (1983). Diffusion of Innovations, 3rd edition. New York: Free Press. Google Scholar
Ryan, B., and Gross, N. C. (1943). “The Diffusion of Hybrid Seed Corn in Two Iowa Communities.” Rural Sociology 8, 1524.Google Scholar
Tarde, G. (1903). The Laws of Imitation. New York: Holt.Google Scholar
U.S. Department of Agriculture. (1999a, June 28). “New U.S. Farm Resource RegionsIssues Center, USDA/Economic Research Center, Washington, DC. Online. Available at http://www.econ.ag.gov/whatsnew/issues/regions/index.htm.Google Scholar
U.S. Department of Agriculture. (1999b, October 8). Crop Production. USDA/National Agricultural Statistics Service, Washington, DC. Online. Available at http://usda.mannlib.cornell.edu/reports/nassr/field/pcp-bb/1999/crop1099.txt.Google Scholar
U.S. Department of Agriculture. (2000a, March 30). Agricultural Prices. USDA/National Agricultural Statistics Service, Washington, DC.Google Scholar
U.S. Department of Agriculture. (2000b, March 31). Prospective Plantings. USDA/National Agricultural Statistics Service, Washington, DC. Online. Available at http://usda.mannlib.comell.edu/reports/nassr/field/pcp-bbp/pspl0300.txt.Google Scholar
U.S. Department of Agriculture. (2000c, April). Agricultural Outlook (p. 88). USDA/Economic Research Service, Washington, DC.Google Scholar
U.S. Department of Agriculture. (2000d, June 30). Acreage. USDA/National Agricultural Statistics Service, Washington, DC. Online. Available at http://usda.mannlib.comell.edu/reports/nassr/field/pcp-bba/acrg0600.pdf.Google Scholar
U.S. Department of Agriculture. (2000e, July 30). Agricultural Prices: 1999. USDA/National Agricultural Statistics Service, Washington, DC.Google Scholar
U.S. Department of Agriculture. (2000f, August31). Agricultural Prices. USDA/National Agricultural Statistics Service, Washington, DC.Google Scholar
U.S. Department of Agriculture. (2001, June 29). Acreage. USDA/National Agricultural Statistics Service, Washington, DC. Online. Available at http://usda.mannlib.comell.edu/reports/nassr/field/pcp-bba/acrg0601.pdf.Google Scholar
U.S. Environmental Protection Agency (EPA), Office of Pesticide Programs. (1999, May 7). “EPA and USDA Position Paper on Insect Resistance Management in Bt Crops” Online. Available at http://www.epa.gov/pesticides/biopesti-cides/otherdocs/bt_position_paper_618.htm. [minor revisions July 12].Google Scholar
Wallis, K. F. (1972). Introductory Econometrics. Lectures in Economics, 2. Chicago: Aldine Publishing Co. Google Scholar
Williams, M. R. (1996–2000). Cotton Insect Losses. Report issued annually in each of the five years cited. Department of Entomology, Mississippi State University, MS. Online. Available at http://www.msstate.edu/Entomology/CNT-LOSS.Google Scholar