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Early adoption, experience, and farm performance of GM corn seeds
Abstract
The current article explores the characteristics that distinguish early from late adopters of GM corn and measures the productivity impacts of early adoption, for a sample of farmers in Minnesota and Wisconsin. The results of the adoption analysis confirm that size, education as well as specialization are positively correlated with early adoption. In addition, these results also show that farms that are mostly worked by family labor but hire some off‐farm labor are more likely to adopt GM seeds earlier in the diffusion process. The productivity analysis demonstrates the superiority of stacked varieties. At the same time, we find no evidence of a direct impact of experience on yields. Given the previously documented impact of early adoption on the use of stacked varieties, we conclude that experience plays a role through the adoption of these new technologies but does not play a role in allowing the producer to use the technology more efficiently, once it has been adopted.
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“More than half of the global GM crop area is concentrated in five countries: the USA (38% of the total global GM crop area), Brazil (28%), Argentina (13%), Canada (7%), and India (6%).”
From Environmental impacts of genetically modified crops (2024) · cites this paper as [34]
In the citing paper
“By 2019, these GM varieties expanded to 190 million hectares, representing 13% of global arable land, and were cultivated in 29 countries across various income levels (Figure 2).”
From Environmental impacts of genetically modified crops (2024) · cites this paper as [34]
Citations
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References 14 · Cited by 6
Research works printed but not linked: 16
- 10.1093/ajae/aaq112 · DOI
- Alexander C., 2001, Market Development for Genetically Modified Foods
- 10.1079/PAVSNNR20061045 · DOI
- 10.1016/0304-3878(94)00049-I · DOI
- Below F.E. Uribelarrea M. Ruffo M. Moose S.P. Becker A.W. 2007.Triple‐stacks Genetics and Biotechnology in improving Nitrogen use of Corn.Proceedings of the North Central Extension‐Industry Soil Fertility Conference. Vol.23 5–13. Available at:http://extension.agron.iastate.edu/nce/ncepdfs/2007/nc2007‐p5‐below.pdf accessed August 2012.
- Besley T., 1994, Diffusion as a learning process: Evidence from HYV Cotton. Research program in development studies. Center of International Studies
- 10.1257/aer.100.1.35 · DOI · Paper page
- 10.1086/451461 · DOI · Paper page
- Fernandez Cornejo J., 2001, Decomposing the size effect on the adoption of innovations: Agrobiotechnology and precision agriculture, Agbioforum, 4, 124
- Fernandez Cornejo J., 2000, Genetically engineered crops for pest management in U.S. Agricultura: Farm level effects
- 10.1086/601447 · DOI · Paper page
- Marra M., 2010, The Anticipated Value of SmartStax for US Corn Growers, AgBioForum, 13, 1
- 10.1016/j.jdeveco.2003.03.003 · DOI · Paper page
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- 10.2134/agronj2005.0144 · DOI
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Metadata
- Authors
- Aldana, U., Barham, B., Foltz, J., & Useche, P.
- Affiliations
- University of Wisconsin–Madison (US)
- University of Florida (US)
- ORCID
- Foltz, Jeremy
- Venue
- Agricultural Economics
- Publisher
- Wiley
- Published
- 2012-08-30
- Volume
- 43
- Issue
- s1
- Pages
- 11-18
- ISSN
- 0169-5150 (ISSN-L)
- 1574-0862
- OpenAlex
- W2158539626
- Cited by
- 6
- References
- 14
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2019: 1 · 2018: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Agricultural Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- U.S. Department of Agriculture
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetically Modified Organisms Research
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Agricultural economics and policies
- Keywords
- transgenic maize, technology adoption, early adopters, diffusion of innovations, agricultural productivity, farming experience, farm size, farmer education, agricultural specialization, family farm labor, off-farm employment, maize yield, Minnesota, Wisconsin
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- The paper
- Aldana, U., Barham, B., Foltz, J., & Useche, P. (2012). Early adoption, experience, and farm performance of GM corn seeds. Agricultural Economics. https://doi.org/10.1111/j.1574-0862.2012.00616.x
