IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v84y2002i3p679-690.html
   My bibliography  Save this article

Primal/Dual Positive Math Programming: Illustrated Through an Evaluation of the Impacts of Market Resistance to Genetically Modified Grains

Author

Listed:
  • Paul V. Preckel
  • David Harrington
  • Robert Dubman

Abstract

The goal of Howitt's positive mathematical programming procedure is to calibrate a mathematical programming model so that it will reproduce a set of base data for the primal variables. This article develops an analogous procedure allowing one to specify the levels of both primal and dual variables. This article also sheds light on a potential ambiguity of Howitt's procedure (with attendant policy evaluation impacts). The procedure is illustrated through application to an equilibrium displacement model focused on evaluating the consequences of the reluctance of U.S. trading partners to accept genetically modified crop products for U.S. production patterns and net farm income. Copyright 2002, Oxford University Press.

Suggested Citation

  • Paul V. Preckel & David Harrington & Robert Dubman, 2002. "Primal/Dual Positive Math Programming: Illustrated Through an Evaluation of the Impacts of Market Resistance to Genetically Modified Grains," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 679-690.
    • Handle: RePEc:oup:ajagec:v:84:y:2002:i:3:p:679-690
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/1467-8276.00327
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. C M Yates, 2007. "A positive approach to estimating the weights for quadratic multiple objective programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1332-1340, October.
    2. Harrington, David H. & Jefferson-Moore, Kenrett Y., 2006. "The Distribution of Rents in Supply Chain Industries: The Case of High Oil Corn," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25579, International Association of Agricultural Economists.
    3. Blanco Fonseca, Maria & Iglesias Martinez, Eva, 2005. "Modelling New EU Agricultural Policies: Global Guidelines, Local Strategies," 89th Seminar, February 2-5, 2005, Parma, Italy 232644, European Association of Agricultural Economists.
    4. Capitanio, Fabian, 2008. "Risk Management Through Insurance And Environmental Externalities From Agricultural Input Use: An Italian Case Study," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44834, European Association of Agricultural Economists.
    5. Brady, Mark, 2003. "The relative cost-efficiency of arable nitrogen management in Sweden," Ecological Economics, Elsevier, vol. 47(1), pages 53-70, November.
    6. Harrington, David H. & Dubman, Robert, 2008. "Equilibrium Displacement Mathematical Programming Models: Methodology and Model of the U.S. Agricultural Sector," Technical Bulletins 184313, United States Department of Agriculture, Economic Research Service.
    7. Gunter, Allison & Goemans, Chris & Pritchett, James G. & Thilmany, Dawn D., 2012. "Linking an Equilibrium Displacement Mathematical Programming Model and an Input-Output Model to Estimate the Impacts of Drought: An Application to Southeast Colorado," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124930, Agricultural and Applied Economics Association.
    8. Musshoff, Oliver & Hirschauer, Norbert, 2007. "What benefits are to be derived from improved farm program planning approaches? - The role of time series models and stochastic optimization," Agricultural Systems, Elsevier, vol. 95(1-3), pages 11-27, December.
    9. Holderieath, Jason, 2016. "Valuing the Absence of Feral Swine for US Corn, Soybean, Wheat, Rice, and Peanut Producers and Consumers. A Partial Equilibrium Approach," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235867, Agricultural and Applied Economics Association.
    10. Lana Awada & Peter W. B. Phillips, 2021. "The distribution of returns from land efficiency improvement in multistage production systems," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(1), pages 73-92, March.
    11. Yagi, Hironori, 2008. "An Empirical Application of the Linear Programming Model for Agricultural Land Use Planning through the Valuation of Negative Externalities Caused by Abandoning Farmland in Marginal Areas," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 10, pages 1-11.
    12. Johansson, Robert & Peters, Mark & House, Robert, 2007. "Regional Environment and Agriculture Programming Model," Technical Bulletins 184314, United States Department of Agriculture, Economic Research Service.
    13. Gohar, Abdelaziz A. & Cashman, Adrian, 2016. "A methodology to assess the impact of climate variability and change on water resources, food security and economic welfare," Agricultural Systems, Elsevier, vol. 147(C), pages 51-64.

    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:oup:ajagec:v:84:y:2002:i:3:p:679-690. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.