Adoption of Technology, Management Practices, and Production Systems by U.S. Beef Cow-Calf Producers
Using USDAâ€™s Agricultural Resource Management Survey data, factors leading to the adoption of technology, management practices, and production systems by U.S. beef cow-calf producers are analyzed. Binary logit regression models are used to determine impacts of vertical integration; region of the U.S.; farm size, diversification, and tenure; and demographics on adoption decisions. Significant differences were found in adoption rates by region of the U.S., degree of vertical integration, and size of operation, suggesting the presence of economies of size and vertical economies of scope. Results also indicate high degrees of complementarity among technologies, management practices, and production systems.
Volume (Year): 44 (2012)
Issue (Month): 02 (May)
|Contact details of provider:|| Web page: http://www.saea.org/jaae/jaae.htm|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- H. Frederick Gale, 1998. "Rural Manufacturing on the Crest of the Wave: A Count Data Analysis of Technology Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 347-359.
- Ward, Clement E. & Vestal, Mallory K. & Doye, Damona G. & Lalman, David L., 2008. "Factors Affecting Adoption of Cow-Calf Production Practices in Oklahoma," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(03), December.
- Jeffrey H. Dorfman, 1996. "Modeling Multiple Adoption Decisions in a Joint Framework," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 547-557.
- Jeffrey Gillespie & Seon-Ae Kim & Krishna Paudel, 2007. "Why don't producers adopt best management practices? An analysis of the beef cattle industry," Agricultural Economics, International Association of Agricultural Economists, vol. 36(1), pages 89-102, 01.
- Gillespie, Jeffrey M. & Davis, Christopher G. & Rahelizatovo, Noro C., 2004. "Factors Influencing the Adoption of Breeding Technologies in U.S. Hog Production," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.
- McBride, William D. & Mathews, Kenneth H., Jr., 2011. "The Diverse Structure and Organization of U.S. Beef Cow-Calf Farms," Economic Information Bulletin 102764, United States Department of Agriculture, Economic Research Service.
- Johnson, Rachel J. & Doye, Damona G. & Lalman, David L. & Peel, Derrell S. & Raper, Kellie Curry, 2008. "Adoption Of Best Management Practices In Stocker Cattle Production," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6827, Southern Agricultural Economics Association.
When requesting a correction, please mention this item's handle: RePEc:ags:joaaec:123778. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.