Effect of Prices, Traits and Market Structure on Corn Seeding Density
Paul Mitchell (),
Guanming Shi,
Xingliang Ma () and
Joseph G. Lauer
No 49520, 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin from Agricultural and Applied Economics Association
Abstract:
Recent agronomic research finds that economically optimal seeding densities have likely increased for many Midwestern corn farmers as a result of genetic improvements including new GM traits such as Bt corn and herbicide tolerance. We derive a per acre demand model for hybrid seed corn to examine the determinants of corn seeding densities and estimate the model using a large data set of individual farmer seed corn purchases. Current results identify factors other than prices affecting farmer corn seeding densities. Among these factors are the GM trait of the seed corn, measures of the local seed corn market structure, seed purchase source and intended end use. We interpret these effects in terms of information effects—farmers with more/better access to the latest agronomic research indicating that recommended seeding densities should be increased tend to plant corn at higher densities.
Keywords: Agribusiness; Crop Production/Industries; Farm Management; Industrial Organization; Production Economics (search for similar items in EconPapers)
Pages: 29
Date: 2009-05-01
New Economics Papers: this item is included in nep-agr
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://ageconsearch.umn.edu/record/49520/files/Mi ... al%202009%20AAEA.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea09:49520
DOI: 10.22004/ag.econ.49520
Access Statistics for this paper
More papers in 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().