An Analysis As To The Causal Relationship Between Bioethanol Expansion And Agricultural Crop Acreage Allocation In The United States
This study analyzes the historical price response of individual crop acreage in order to determine the impacts of an expansionist policy in bioethanol production on the U.S. agricultural industry. In doing this, this study provides an economic foundation by using a traditional Rotterdam model to simulate a cropland demand system. Within the developed framework, this study estimates own and cross acreage elasticities and scale elasticities to show the impacts of acreage values on crop production and the relationship between total cropland and individual crop acreage. This study found that rice farming is most inelastic to own acreage value. Soybeans, hay, and wheat are shown to be good substitute crops for corn. Corn, soybeans, hay, wheat, cotton, barley, and rice are shown to have positive scale elasticity, while sorghum and oats are shown to have negative scale elasticities. The scale effects of corn, soybeans, hay, and wheat are relatively large, while those of cotton, sorghum, barley, rice, and oats are relatively small.
|Date of creation:||2008|
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- Torre Ugarte, Daniel de la & English, Burton C. & Jensen, Kimberly L., 2007.
"Sixty Billion Gallons by 2030: Economic and Agricultural Impacts of Ethanol and Biodiesel Expansion,"
2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN
9709, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Daniel G. De La Torre Ugarte & Burton C. English & Kim Jensen, 2007. "Sixty Billion Gallons by 2030: Economic and Agricultural Impacts of Ethanol and Biodiesel Expansion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1290-1295.
- K. D. Meilke & R. E. Kramar, 1976. "Acreage Response In Ontario," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 24(1), pages 51-66, 02.
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