IDEAS home Printed from https://ideas.repec.org/p/isu/genres/5261.html
   My bibliography  Save this paper

Economics of Purifying and Blending, The

Author

Listed:
  • Hennessy, David A.

Abstract

Optimal decisions are studied for material subjected to purification and/or blending processes. The slope and curvature of the retail price-quality schedule are found to determine optimal processing decisions. When processing is costless, linear raw material price-quality schedules result from maximizing value added. In general, any combination of purified, blended, and unprocessed intervals may occur along the quality spectrum. Counterintuitively, material in concave regions of the retail price-quality schedule may be purified, while regions in convex regions may be blended.

Suggested Citation

  • Hennessy, David A., 1996. "Economics of Purifying and Blending, The," Staff General Research Papers Archive 5261, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:5261
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Chalfant, James A. & James, Jennifer S. & Lavoie, Nathalie & Sexton, Richard J., 1999. "Asymmetric Grading Error And Adverse Selection: Lemons In The California Prune Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-23, July.
    2. Roberts, Shane & Brooks, Kathleen & Nogueira, Lia & Walters, Cory G., 2022. "The role of quality characteristics in pricing hard red winter wheat," Food Policy, Elsevier, vol. 108(C).
    3. Anton Bekkerman, 2021. "Quality forecasts: Predicting when and how much markets value higher‐protein wheat," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 465-490, December.
    4. Johnson, D. Demcey, 2005. "Sorting and Blending Under Quality Uncertainty: Application to Wheat Protein," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 36316, Western Agricultural Economics Association.
    5. Ruiqing Miao & David A. Hennessy, 2015. "Optimal Protein Segregation Strategies for Wheat Growers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 309-331, September.
    6. Konstantinos Giannakas & Richard Gray & Nathalie Lavoie, 1999. "The impact of protein increments on blending revenues in the Canadian wheat industry," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(1), pages 121-136, February.
    7. Yoon, Byung-Sam & Brorsen, B. Wade & Lyford, Conrad P., 2002. "Value Of Increasing Kernel Uniformity," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-14, December.

    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:isu:genres:5261. 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: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.html .

    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.