The Structure and Profitability of Organic Field Corn Production
Results from long-term experimental trials suggest that similar yields and lower costs are possible from organic compared with conventional field crop production, but there is little information about the relative costs and returns on commercial farms. This study examines the structure and profitability of field corn production using a nationwide survey of corn producers for 2010 that includes a targeted sample of organic growers. Propensity score matching was used to develop a sample of similar conventional and organic farms based on farm and operator characteristics. Treatment-effect models were estimated using the matched sample to isolate the effect of choosing the organic approach on various levels of corn production costs. The procedure accounts for the impact of both observable and unobservable variables on corn production costs.
|Date of creation:||2013|
|Date of revision:|
|Contact details of provider:|| Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202|
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
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.:
- Rajeev H. Dehejia & Sadek Wahba, 2002.
"Propensity Score-Matching Methods For Nonexperimental Causal Studies,"
The Review of Economics and Statistics,
MIT Press, vol. 84(1), pages 151-161, February.
- Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
- McBride, William D. & Greene, Catherine R., 2008. "The Profitability of Organic Soybean Production," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6449, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Guido W. Imbens, 2003.
"Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review,"
NBER Technical Working Papers
0294, National Bureau of Economic Research, Inc.
- Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Carlos D. Mayen & Joseph V. Balagtas & Corinne E. Alexander, 2010. "Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 181-195.
- Delate, K. M. & Duffy, Michael & Chase, Craig A. & Holste, A. & Friedrich, H. & Wantate, N, 2003. "An Economic Comparison of Organic and Conventional Grain Crops in a Long-Term Agroecological Research (Ltar) Site in Iowa," Staff General Research Papers Archive 11818, Iowa State University, Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:ags:aaea13:149671. 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.