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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


  • Britt, Megan L.
  • Ramirez, Octavio A.
  • Carpio, Carlos E.


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 an 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.

Suggested Citation

  • Britt, Megan L. & Ramirez, Octavio A. & Carpio, Carlos E., 2002. "Effects Of Quality Considerations And Climate/Weather Information On The Management And Profitability Of Cotton Production In The Texas High Plains," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(03), December.
  • Handle: RePEc:ags:joaaec:15082

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    References listed on IDEAS

    1. Darren Hudson & Don Ethridge & Eduardo Segarra, 1998. "Incorrect Price Information for a Heterogeneous Commodity: A Conceptual Synthesis," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 20(2), pages 365-376.
    2. 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.
    3. Hansen, LeRoy T., 1991. "Farmer Response to Changes in Climate: The Case of Corn Production," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, issue 4.
    4. John Faux & Gregory M. Perry, 1999. "Estimating Irrigation Water Value Using Hedonic Price Analysis: A Case Study in Malheur County, Oregon," Land Economics, University of Wisconsin Press, vol. 75(3), pages 440-452.
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    More about this item


    climatic/weather information; cotton quality; ground water resource use; risk and uncertainty; Texas High Plains; Crop Production/Industries; D21; D24; D61; D81; D84;

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations


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