IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v34y2002i03p561-583_00.html
   My bibliography  Save this article

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

Author

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

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.

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, Cambridge University Press, vol. 34(3), pages 561-583, December.
    • Handle: RePEc:cup:jagaec:v:34:y:2002:i:03:p:561-583_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800009317/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James W. Mjelde & Steven T. Sonka & Bruce L. Dixon & Peter J. Lamb, 1988. "Valuing Forecast Characteristics in a Dynamic Agricultural Production System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 674-684.
    2. 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.
    3. 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.
    4. 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, vol. 43(4), pages 1-8.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jesse Tack & Andrew Barkley & Lawton Nalley, 2014. "Heterogeneous effects of warming and drought on selected wheat variety yields," Climatic Change, Springer, vol. 125(3), pages 489-500, August.
    2. Kurkalova, Lyubov A. & Kling, Catherine L. & Zhao, Jinhua, 2001. "The Subsidy For Adopting Conservation Tillage: Estimation From Observed Behavior," 2001 Annual meeting, August 5-8, Chicago, IL 20542, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. R. P. Dayani Gunathilaka & James C. R. Smart & Christopher M. Fleming, 2017. "The impact of changing climate on perennial crops: the case of tea production in Sri Lanka," Climatic Change, Springer, vol. 140(3), pages 577-592, February.
    4. Kelly, David L. & Kolstad, Charles D. & Mitchell, Glenn T., 2005. "Adjustment costs from environmental change," Journal of Environmental Economics and Management, Elsevier, vol. 50(3), pages 468-495, November.
    5. Deal, John, 2006. "The Relationship Between Economically and Environmentally Marginal Land," 2006 Annual meeting, July 23-26, Long Beach, CA 21119, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Olivier Deschenes & Charles Kolstad, 2011. "Economic impacts of climate change on California agriculture," Climatic Change, Springer, vol. 109(1), pages 365-386, December.
    7. Shahbaz Bhatti & Sarfraz Hassan & Khalid Mushtaq & Kamran Javed, 2020. "Investigation The Impact Of Climate Change On Productivity Of Cotton: Empirical Evidence From Cotton Zone," Big Data In Agriculture (BDA), Zibeline International Publishing, vol. 2(1), pages 1-4, February.
    8. Kirtti Ranjan Paltasingh & Phanindra Goyari, 2018. "Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 15(1), pages 42-60, June.
    9. Kim, Kwansoo & Barham, Bradford L. & Coxhead, Ian, 2001. "Measuring soil quality dynamics: A role for economists, and implications for economic analysis," Agricultural Economics, Blackwell, vol. 25(1), pages 13-26, June.
    10. Moolman, C.E. & Blignaut, J.N. & van Eyden, R., 2006. "Modelling the marginal revenue of water in selected agricultural commodities: A panel data approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(1), pages 1-11, March.
    11. Vassalos, Michael & Dillon, Carl R. & Coolong, Tim, 2012. "Choice of Optimal Planting and Marketing Decisions for Fresh Vegetable Producers: A Mathematical Programming Approach," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 120016, Southern Agricultural Economics Association.
    12. Pullen, Jennifer L. & Colby, Bonnie G., 2008. "Influence of Climate Variability on the Market Price of Water in the Gila-San Francisco Basin," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-15.
    13. Vera-Diaz, Maria del Carmen & Kaufmann, Robert K. & Nepstad, Daniel C. & Schlesinger, Peter, 2008. "An interdisciplinary model of soybean yield in the Amazon Basin: The climatic, edaphic, and economic determinants," Ecological Economics, Elsevier, vol. 65(2), pages 420-431, April.
    14. Yoon Lee & Sungchul Cho & Haejin Han & Kyoungmin Kim & Yongsuk Hong, 2017. "Heterogeneous Value of Water: Empirical Evidence in South Korea," Sustainability, MDPI, vol. 9(10), pages 1-11, September.
    15. Ortiz-­Bobea, Ariel, 2013. "Understanding Temperature and Moisture Interactions in the Economics of Climate Change Impacts and Adaptation on Agriculture," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150435, Agricultural and Applied Economics Association.
    16. Shi, Hu & Xingguo, Mo, 2011. "Interpreting spatial heterogeneity of crop yield with a process model and remote sensing," Ecological Modelling, Elsevier, vol. 222(14), pages 2530-2541.
    17. Sushila Kaul, 2007. "Bio-Economic Modelling of Climate Change on Crop Production in India," Energy and Environmental Modeling 2007 24000022, EcoMod.
    18. Ingram, K. T. & Roncoli, M. C. & Kirshen, P. H., 2002. "Opportunities and constraints for farmers of west Africa to use seasonal precipitation forecasts with Burkina Faso as a case study," Agricultural Systems, Elsevier, vol. 74(3), pages 331-349, December.
    19. Heng-Hung KUO & Li-Hsing HO & Wen-Hung LIN, 2015. "Do hog breeds matter? Investigating the price volatility in the Taiwan's auction market," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(7), pages 314-325.
    20. Suzanne Thornsbury & Kathy Davis & Tara Minton, 2003. "Adding Value to Agricultural Data: A Golden Opportunity," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(2), pages 550-568.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:jagaec:v:34:y:2002:i:03:p:561-583_00. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.