IDEAS home Printed from https://ideas.repec.org/p/ags/midasp/201155.html
   My bibliography  Save this paper

A Bioeconomic Model for Weed Management in Corn and Soybean

Author

Listed:
  • Swinton, Scott M.
  • King, Robert P.

Abstract

A Thesis Submitted to the Faculty of the Graduate School of the University of Minnesota In partial fulfillment of the requirements for the degree of Doctor of Philosophy. Advisor: Robert P. King
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Swinton, Scott M. & King, Robert P., 1992. "A Bioeconomic Model for Weed Management in Corn and Soybean," Staff Papers 201155, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  • Handle: RePEc:ags:midasp:201155
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/201155
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    2. Senauer, Benjamin, 1989. "Food Safety: A Growing Concern," Staff Papers 13532, University of Minnesota, Department of Applied Economics.
    3. Cox, Craig A. & Easter, K. William, 1990. "A Regional Ban Of Alachlor And Atrazine In Southeastern Minnesota: The Economic And Environmental Effects," Staff Papers 13945, University of Minnesota, Department of Applied Economics.
    4. Apland, Jeffrey, 1988. "Flow Resources, Field Time And Modeling The Farm Firm: Concepts And Research Needs," Staff Papers 13386, University of Minnesota, Department of Applied Economics.
    5. Taff, Steven J. & Cox, Craig A., 1990. "Public Acquisition Of Rights To Use Farm Chemicals: Possible Costs And Impacts," Staff Papers 13871, University of Minnesota, Department of Applied Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. repec:pal:eurjdr:v:29:y:2017:i:3:d:10.1057_s41287-017-0077-4 is not listed on IDEAS
    2. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    3. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October.
    4. Swinton, Scott M. & King, Robert P. & Lybecker, Donald W., 1992. "The Effect of Triazine Restriction Policies on Recommended Weed Management in Corn," Staff Papers 201160, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    5. Shibia, Mumina Guyo, 2010. "Evaluation of Economic Losses in Rearing Replacement Heifers in Pastoral and Peri-Urban Camel Herds of Isiolo District, Kenya," Research Theses 134493, Collaborative Masters Program in Agricultural and Applied Economics.
    6. Young, Douglas L. & Smith, Elwin G. & Kwon, Tae-Jin, 2000. "Aggregation Issues In Pest Control Economics: A Bioeconomic Approach," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36448, Western Agricultural Economics Association.
    7. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 17(1), October.
    8. Mace, Karen & Morlon, Pierre & Munier-Jolain, Nicolas & Quere, Lionel, 2007. "Time scales as a factor in decision-making by French farmers on weed management in annual crops," Agricultural Systems, Elsevier, vol. 93(1-3), pages 115-142, March.
    9. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    10. Jayasuriya, Rohan T. & Jones, Randall E., 2008. "A bioeconomic model for determining the optimal response to a new weed incursion in Australian cropping systems," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6015, Australian Agricultural and Resource Economics Society.
    11. Archer, David W. & Shogren, Jason F., 2001. "Risk-indexed herbicide taxes to reduce ground and surface water pollution: an integrated ecological economics evaluation," Ecological Economics, Elsevier, vol. 38(2), pages 227-250, August.
    12. Swinton, Scott M. & Black, J. Roy, 2000. "Modeling Of Agricultural Systems," Staff Papers 11581, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    13. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 25(1), June.
    14. Young, Douglas L. & Kwon, Tae-Jin & Smith, Elwin G. & Young, F.L., 2002. "Evaluating A Precision Agriculture Herbicide Decision Model For Winter Wheat," 2002 Annual meeting, July 28-31, Long Beach, CA 19819, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Scott M. Swinton & Robert P. King, 1994. "The Value of Pest Information in a Dynamic Setting: The Case of Weed Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 36-46.
    16. repec:ags:aare05:137931 is not listed on IDEAS
    17. Swinton, Scott M. & Day, Esther, 2000. "Economics In The Design, Assessment, Adoption, And Policy Analysis Of I.P.M," Staff Papers 11789, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    18. Archer, David Walter, 1995. "Self-insurance and self-protection in weed control: implications for nonpoint source pollution," ISU General Staff Papers 1995010108000012033, Iowa State University, Department of Economics.
    19. Wallinga, Jacco, 1998. "Analysis of the rational long-term herbicide use: Evidence for herbicide efficacy and critical weed kill rate as key factors," Agricultural Systems, Elsevier, vol. 56(3), pages 323-340, March.
    20. de Buck, A. J. & Schoorlemmer, H. B. & Wossink, G. A. A. & Janssens, S. R. M., 1999. "Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model," Agricultural Systems, Elsevier, vol. 59(3), pages 283-299, March.
    21. Swinton, Scott M. & King, Robert P. & Lybecker, Donald W., 1992. "Weed Management Strategies, Bioeconomic Models and Information Value," Staff Papers 201161, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    22. Jones, Randall E., 2005. "Sustainability and integrated weed management in Australian winter cropping systems: a bioeconomic analysis," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137930, Australian Agricultural and Resource Economics Society.
    23. Wiles, L. J. & King, R. P. & Schweizer, E. E. & Lybecker, D. W. & Swinton, S. M., 1996. "GWM: General weed management model," Agricultural Systems, Elsevier, vol. 50(4), pages 355-376.
    24. Scott M. Swinton & Braeden Deynze, 2017. "Hoes to Herbicides: Economics of Evolving Weed Management in the United States," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(3), pages 560-574, July.

    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:ags:midasp:201155. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/damsuus.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.