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Effects of Quality Considerations and Climate/Weather Information on the Management and Profitability of Cotton Production in the Texas High Plains

Published online by Cambridge University Press:  28 April 2015

Megan L. Britt ,
Octavio A. Ramirez  and
Carlos E. Carpio
Megan L. Britt
Affiliation:
Pioneer Hi-Bred, Johnston, IA
Octavio A. Ramirez
Affiliation:
Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX
Carlos E. Carpio
Affiliation:
Department of Economics, North Carolina State University, Raleigh, NC
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Abstract

Production function models for cotton lint yields, seed yields, turnout, and lint quality characteristics are developed for the Texas High Plains. They are used to evaluate the impacts of quality considerations and of climate/weather information on the management decisions and on the profitability and risk of irrigated cotton production systems. It is concluded that both quality considerations and improved climatic/weather information could have substantial effects on expected profitability and risk. These effects mainly occur because of changes in optimal variety selection and irrigation water use levels. Quality considerations in particular result in significantly lower irrigation water use levels regardless of the climate/weather information assumption, which has important scarce-resource use implications for the Texas High Plains.

Keywords

climatic/weather informationcotton qualityground water resource userisk and uncertaintyTexas High PlainsD21D24D61D81D84
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 34 , Issue 3 , December 2002 , pp. 561 - 583
Copyright
Copyright © Southern Agricultural Economics Association 2002

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References

Beach, E.D., and Carlson, G.A.. “A Hedonic Analysis of Herbicides: Do User Safety and Water Quality Matter.” American Journal of Agricultural Economics 75(1993):612-23.CrossRefGoogle Scholar
Bradow, J.M., and Davidonis, G.H.. “Quantification of Fiber Quality and the Cotton Production-Pro-cessiong Interface.” Journal of Cotton Science 4(2000):34–64.Google Scholar
Chiou, G.T., Chen, D.T., and Capps, O.. “A Structural Investigation of Biotechnological Impacts on Cotton Quality and Returns.” American Journal of Agricultural Economics 75(1993):467-78.CrossRefGoogle Scholar
Ethridge, D., and Hudson, D.. “Cotton Price Information: How It Affects the Industry.” Journal of Cotton Science 2(1998):68–76.Google Scholar
Faux, J., and Perry, G.M.. “Estimating Irrigation Water Value Using Hedonic Price Analysis: A Case Study in Malheur County, Oregon.” Land Economics 75(1999):440-52.CrossRefGoogle Scholar
Green, C.J., Krieg, D.R., and Reiter, J.S.. “Cotton Response to Multiple Applications of Nutrient Mixtures.” Beltwide Cotton Conferences Proceedings, Orlando, FL, 1999, pp. 1272-73.Google Scholar
Hansen, L. “Farmer Response to Changes in Climate: The Case of Corn Production.” Journal of Agricultural Economics Research 43(1991):18–27.Google Scholar
High Plains Water Conservation District. “An Analysis of Irrigation Ditch Losses, Pump Plants, and the Cost of Pumping Water.” Report 98-1, Lubbock, TX, 1998.Google Scholar
Hudson, D., Ethridge, D., and Segarra, E.. “Incorrect Price Information for a Heterogeneous Commodity: A Conceptual Synthesis.” Review of Agricultural Economics 20(1998):363-74.Google Scholar
Johnson, P., and Segarra, E.. Personal Communication. Department of Agricultural and Applied Economics, Texas Tech University, February 2002.Google Scholar
Kaufmann, R.K., and Snell, S.E.. “A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants.” American Journal of Agricultural Economics 79(1997):178-90.CrossRefGoogle Scholar
Krieg, D.R.Personal Communication. Department of Plant and Soil Sciences, Texas Tech University, October 2001.Google Scholar
Mjelde, J.W., Sonka, S.T., Dixon, B.L., and Lamb, P.J.. “Valuing Forecast Characteristics in a Dynamic Production System.” American Journal of Agricultural Economics 70(1988):674-84.CrossRefGoogle Scholar
Morrow, M., and Krieg, D.R.. “Cotton Management Strategies for a Short Growing Season Environment: Water-Nitrogen Considerations.” Agronomy Journal 84(1990):52–56.CrossRefGoogle Scholar
National Oceanic and Atmospheric Administration. Internet site: http://www.cpc.noaa.gov/ (Accessed March 4, 2002).Google Scholar
National Oceanic and Atmospheric Administration. Min/Max Temperature at the Lubbock International Airport Weather Station from 1914-1999. Data obtained from the National Climatic Data Center, Asheville, NC, January 2001.Google Scholar
National Weather Service. Lubbock Precipitation from 1911-1999. Data obtained from the Weather Bureau of Lubbock, TX, January 2001.Google Scholar
Nelson, J., Hoelscher, K., Misra, S., and Ethridge, D.. Texas-Oklahoma Producer Cotton Market Summary: 1999/00. Cotton Economics Research Report CER-00-16, Department of Agricultural and Applied Economics, Texas Tech University, September 2000.Google Scholar
Parker, D.D., and Zilberman, D.. “Hedonic Estimation of Quality Factors Affecting the Farm-Retail Margin.” American Journal of Agricultural Economics 75(1993):458-66.CrossRefGoogle Scholar
Phillips, L.Personal Communication. National Weather Service, Lubbock, TX, March 2002.Google Scholar
Serafin, R.J., and Wilson, J.W.. “Operational Weather Radar in the United States: Progress and Opportunity.” Bulletin of the American Meteorological Society 81(2000):501-18.2.3.CO;2>CrossRefGoogle Scholar
Stovall, J., Rainwater, K., and Frailey, S.. Ground Water Modeling for the Southern High Plains. Texas Tech University Water Resources Center research report, Lubbock, TX, January 5, 2001, 298p.Google Scholar
Texas Agricultural Statistical Service. Texas Agricultural Statistics 2000. United States Department of Agriculture and Texas Department of Agriculture, 2000, 156p.Google Scholar