An Economic Analysis Of Corn Yield, Corn Profitability, And Risk At The Edge Of The Corn Belt
This study investigates the recent evolution of corn yield, with a special focus on the tradeoff between corn profitability and risk. The analysis relies on time-series data from Wisconsin experimental farms at the edge of the Corn Belt. An econometric model of corn yield, corn grain moisture, and corn profitability is specified. Both conditional means and conditional variances are estimated for different sites in Wisconsin. The empirical analysis shows the changes in corn yield and profit over time and across space. The evidence suggests that yield trends are due mostly to technical progress, with smaller effects generated by climate change. On average, corn yield and profitability have improved faster in northern Wisconsin than in the Corn Belt. However, risk has also increased faster. Results show that the choice of corn hybrid maturity makes it easier to manage risk in the Corn Belt than in northern Wisconsin.
Volume (Year): 26 (2001)
Issue (Month): 01 (July)
|Contact details of provider:|| Web page: http://waeaonline.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.:
- Yang, Seung-Ryong & Koo, Won W. & Wilson, William W., 1992.
"Heteroskedasticity In Crop Yield Models,"
Journal of Agricultural and Resource Economics,
Western Agricultural Economics Association, vol. 17(01), July.
- Yang, Seung-Ryong & Koo, Won W. & Wilson, William W., 1991. "Heteroskedasticity in Crop Yield Models," Staff Papers 121402, North Dakota State University, Department of Agribusiness and Applied Economics.
- Yang, Seung-Ryong & Koo, Won W. & Wilson, William W., 1991. "Heteroskedasticity in Crop Yield Models," Statistical Series Reports 121402, North Dakota State University, Department of Agribusiness and Applied Economics.
- Chavas, Jean-Paul & Holt, Matthew T, 1996. "Economic Behavior under Uncertainty: A Joint Analysis of Risk Preferences and Technology," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 329-35, May.
- Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-71, September.
- Dixon, Bruce L. & Hollinger, Steven E. & Garcia, Philip & Tirupattur, Viswanath, 1994. "Estimating Corn Yield Response Models To Predict Impacts Of Climate Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), July.
- Octavio A. Ramírez, 1997. "Estimation and Use of a Multivariate Parametric Model for Simulating Heteroskedastic, Correlated, Nonnormal Random Variables: The Case of Corn Belt Corn, Soybean, and Wheat Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 191-205.
- Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-30, June.
- Barry K. Goodwin & Alan P. Ker, 1998. "Nonparametric Estimation of Crop Yield Distributions: Implications for Rating Group-Risk Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 139-153.
- Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
- Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
- Robert K. Kaufmann & Seth E. Snell, 1997. "A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 178-190.
When requesting a correction, please mention this item's handle: RePEc:ags:jlaare:31152. 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.