Delaware farmers’ adoption of GE soybeans in a time of uncertain U.S. adoption

Agribusiness

Volumn 20, Issue 1, 2004, Pages 81-94

  Bernard, John C ^a   Pesek, John D ^a   Fan, Chunbo ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 18244363934     PISSN: 07424477     EISSN: 15206297     Source Type: Journal    
DOI: 10.1002/agr.10085     Document Type: Article

References (23)

1. Carlson, G.A., Marra, M.C., and Hubbell, B., (1997). Transgenic technology for crop protection: The new super seeds. Choices, 12, 31-36.
2. Carpenter, J., and Gianessi, L., (1999). Herbicide tolerant soybeans: Why growers are adopting roundup ready varieties. AgBioForum, 2, 65-72.
3. DASS (Delaware Agricultural Statistics Service). (2000). Delaware Agricultural Statistics 2000.
4. Fernandez-Cornejo, J., Alexander, C., and Goodhue, R.E., (2002). Dynamic diffusion with disadoption: The case of crop biotechnology in the USA. Agricultural and Resource Economics Review, 31, 112-126.
5. Fernandez-Cornejo, J., and McBride, W.D., (2002). Adoption of bioengineered crops. ERS Agricultural Economic Report No. AER 810.
6. Fuglie, K.O., and Kascak, C.A., (2001). Adoption and diffusion of natural-resource-conserving agricultural technology. Review of Agricultural Economics, 23, 386-403.
7. Greene, W.H., (2000). Econometric analysis, 4th Edition. Upper Saddle River, NJ: Prentice-Hall, Inc.
8. Griliches, Z., (1957). Hybrid corn: An exploration of the economics of technical change. Econometrica, 24, 501-522.
9. Knudson, M.K., (1991). Incorporating technological change in diffusion models. American Journal of Agricultural Economics, 73, 724-733.
10. Lesser, W., Bernard, J., and Billah, K., (1999). Methodologies for ex ante projections of adoption rates for agbiotech products: Lessons learned from rBST. Agribusiness, 15, 149-162.
11. Long, J.S., (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: Sage Publications, Inc.
12. Marra, M.C., Hubbell, B.J., and Carlson, G.A., (2001). Information quality, technology depreciation, and bt cotton adoption in the southeast. Journal of Agricultural and Resource Economics, 26, 158-175.
13. McBride, W.D., and Books, N., (2000). Survey evidence on producer use and costs of genetically modified seed. Agribusiness, 16, 6-20.
14. Pennings, J.M.E., Irwin, S.H., and Good, D.L., (2002). Surveying farmers: A case study. Review of Agricultural Economics, 24, 266-277.
15. Phillips, P.W.B., and McNeill, H., (2000). A survey of national labeling policies for GM Foods. AgBioForum, 3, 219-224. Available at: http://www.agbioforum.org
16. Rosett, R.N., and Nelson, F.D., (1975). Estimation of the two-limit probit regression model. Econometrica, 43, 141-146.
17. Saak, A.E., and Hennessy, D.A., (2002). Planting decisions and uncertain consumer acceptance of genetically modified crop varieties. American Journal of Agricultural Economics, 84, 308-319.
18. Salant, P., and Dillman, D.A., (1994). How to conduct your own survey. New York: John Wiley & Sons, Inc.
19. SAS Institute Inc., SAS OnlineDoc®, Version 8. (1999). Cary, NC: SAS Institute Inc.
20. U.S. Department of Agriculture, National Agricultural Statistics Service. (1998). 1997 Census of Agriculture: Delaware State-Level Data. Available at http://usda.mannlib.cornell.edu/reports/census/ac97ade.pdf
21. U.S. Department of Agriculture, National Agricultural Statistics Service. (1999). Crop Production. Available at http://usda.mannlib.cornell.edu/reports/nassr/field/pcp-bb/1999/crop1099.pdf
22. U.S. Department of Agriculture, National Agricultural Statistics Service. (2000). Acreage. Available at http://usda.mannlib.cornell.edu/reports/nassr/field/pcp-bba/acrg2000.pdf
23. U.S. Department of Agriculture, National Agricultural Statistics Service. (2002). Prospective Plantings. Available at http://usda.mannlib.cornell.edu/reports/nassr/field/pcp-bbp/pspl0302.pdf