000201525 001__ 201525
000201525 005__ 20210122074712.0
000201525 0247_ $$2doi$$a10.22004/ag.econ.201525
000201525 037__ $$a1803-2016-142478
000201525 041__ $$aeng
000201525 245__ $$aA Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers
000201525 260__ $$c2006-10
000201525 269__ $$a2006-10
000201525 300__ $$a37
000201525 336__ $$aWorking or Discussion Paper
000201525 490__ $$aFSWP
000201525 490__ $$a2006-06
000201525 520__ $$aAdvances in the genetic modification of agricultural seeds have allowed a range of new
opportunities for manipulating seed traits according to production, market and environmental
concerns. As seed varieties continue to become increasingly differentiated, preferences for
specific seed traits may be expected to impart significant effects on farmer demand for new
seeds. This paper proposes a model of technology adoption that integrates demand for traits of
new technologies with the potential for heterogeneity based on farm and farmer characteristics.
The model is applied to recent GM corn adoption data from Minnesota and Wisconsin farmers,
and uses conditional logit and mixed multinomial logit econometric models to estimate the
effects of traits and farm and farmer characteristics on adoption outcomes.
000201525 650__ $$aFood Consumption/Nutrition/Food Safety
000201525 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000201525 700__ $$aUseche, Pilar
000201525 700__ $$aBarham, Bradford
000201525 700__ $$aFoltz, Jeremy
000201525 8564_ $$99a2427b5-53c0-44e7-ad63-173777b1a115$$s341385$$uhttps://ageconsearch.umn.edu/record/201525/files/WP2006-06.pdf
000201525 887__ $$ahttp://purl.umn.edu/201525
000201525 909CO $$ooai:ageconsearch.umn.edu:201525$$pGLOBAL_SET
000201525 912__ $$nSubmitted by Abigail  Porter  (porte542@umn.edu) on 2015-04-13T18:16:03Z
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  Previous issue date: 2006-10
000201525 913__ $$aLicense granted by Abigail  Porter  (porte542@umn.edu) on 2015-04-13T18:13:27Z (GMT):

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000201525 980__ $$a1803
000201525 982__ $$gUniversity of Wisconsin>Department of Agricultural and Applied Economics>Food System Research Group>Working Papers