IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v8y1976i02p129-132_01.html
   My bibliography  Save this article

Pricing Soybeans on the Basis of Oil and Protein Content

Author

Listed:
  • Updaw, Nelson J.
  • Bullock, J. Bruce
  • Nichols, T. E.

Abstract

Demand for soybeans consists of the derived demand for its use as an input in the production of soybean oil and meal. The marginal value product of any bushel is determined by its oil and protein content and the price of oil and meal. Until recently, traders have been forced to estimate the value of soybeans through a grading scheme based on visual inspection and measured moisture content. Instruments that provide a quick and accurate measurement of the protein and oil content of soybeans and other grains are becoming available. Their use will allow purchasers to adjust the price paid for soybeans that do not possess average protein and oil contents.The purpose of this paper is to report the development of a system of discounts and premiums that would complement the use of these new instruments in the pricing of soybeans.

Suggested Citation

  • Updaw, Nelson J. & Bullock, J. Bruce & Nichols, T. E., 1976. "Pricing Soybeans on the Basis of Oil and Protein Content," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 8(2), pages 129-132, December.
    • Handle: RePEc:cup:jagaec:v:8:y:1976:i:02:p:129-132_01
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0081305200013340/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. William, Wilson & Dahl, Bruce & Hertsgaard, David, 2020. "Soybean quality differentials, blending, testing and spatial arbitrage," Journal of Commodity Markets, Elsevier, vol. 18(C).
    2. Manuey, Sean & Brorsen, B. Wade & Akridge, Jay T., 1991. "A Component Pricing System For Pork," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271067, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Ramesh, Nandini, 2002. "Contract design in soybean production," ISU General Staff Papers 2002010108000018191, Iowa State University, Department of Economics.
    4. Richey, Bobby Gene, Jr., 1986. "The effect of component pricing on the United States soybean industry," ISU General Staff Papers 1986010108000018101, Iowa State University, Department of Economics.

    More about this item

    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:8:y:1976:i:02:p:129-132_01. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.