TY  - RPRT
AB  - Advances 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.
AU  - Useche, Pilar
AU  - Barham, Bradford
AU  - Foltz, Jeremy
DA  - 2006-10
DA  - 2006-10
DO  - 10.22004/ag.econ.201525
DO  - doi
ID  - 201525
KW  - Food Consumption/Nutrition/Food Safety
KW  - Research and Development/Tech Change/Emerging Technologies
L1  - https://ageconsearch.umn.edu/record/201525/files/WP2006-06.pdf
L2  - https://ageconsearch.umn.edu/record/201525/files/WP2006-06.pdf
L4  - https://ageconsearch.umn.edu/record/201525/files/WP2006-06.pdf
LA  - eng
LK  - https://ageconsearch.umn.edu/record/201525/files/WP2006-06.pdf
N2  - Advances 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.
PY  - 2006-10
PY  - 2006-10
T1  - A Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers
TI  - A Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers
UR  - https://ageconsearch.umn.edu/record/201525/files/WP2006-06.pdf
Y1  - 2006-10
T2  - FSWP
T2  - 2006-06
ER  -