[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ags/sojoae/30208.html
   My bibliography  Save this article

A Discrete Stochastic Programming Model To Estimate Optimal Burning Schedules On Rangeland

Author

Listed:
  • Garoian, Lee
  • Conner, J. Richard
  • Scifres, C.J.
Abstract
McCartney rose is a range management problem on 500,000 acres of rangeland in Texas. Roller chopping followed by burning is an effective method of improving infested rangeland. However, uncertainty associated with implementing effective burns adversely affects economic feasibility of the treatment sequence. Discrete stochastic programming is used to determine optimal burning schedules under uncertainty. Optimal schedules and expected net returns vary with changes in the probability of a successful burn.

Suggested Citation

  • Garoian, Lee & Conner, J. Richard & Scifres, C.J., 1987. "A Discrete Stochastic Programming Model To Estimate Optimal Burning Schedules On Rangeland," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(2), pages 1-8, December.
    • Handle: RePEc:ags:sojoae:30208
    DOI: 10.22004/ag.econ.30208
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/30208/files/19020053.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.30208?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, November.
    2. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 44, pages 2343-2378, Elsevier.
    3. K. D. Cocks, 1968. "Discrete Stochastic Programming," Management Science, INFORMS, vol. 15(1), pages 72-79, September.
    4. George B. Dantzig, 1955. "Linear Programming under Uncertainty," Management Science, INFORMS, vol. 1(3-4), pages 197-206, 04-07.
    5. Apland, Jeffrey & Kaiser, Harry M., 1984. "Discrete Stochastic Sequential Programming: A Primer," Staff Papers 13545, 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. Kingwell, Ross S., 1992. "The Tactics of Dryland Farm Management given Variance in Climate and Prices," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146536, Australian Agricultural and Resource Economics Society.
    2. Lambert, David K., 1989. "Calf Retention And Production Decisions Over Time," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-11, July.
    3. Schilizzi, S. G. M. & Kingwell, R. S., 1999. "Effects of climatic and price uncertainty on the value of legume crops in a Mediterranean-type environment," Agricultural Systems, Elsevier, vol. 60(1), pages 55-69, May.
    4. Olson, Kent D. & Mikesell, Chris L., 1988. "The Range Stocking Decision And Stochastic Forage Production," Staff Papers 13502, University of Minnesota, Department of Applied Economics.

    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. Kanakasabai, Murali & Dillon, Carl R., 2004. "Potential For Farm Adaptation To Global Climatic Change In Kentucky," 2004 Annual meeting, August 1-4, Denver, CO 20422, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Apland, Jeffrey & Hauer, Grant, 1993. "Discrete Stochastic Programming: Concepts, Examples And A Review Of Empirical Applications," Staff Papers 13793, University of Minnesota, Department of Applied Economics.
    3. McCarl, Bruce A., 1986. "Innovations In Programming Techniques For Risk Analysis," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271825, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    4. Pannell, David J. & Nordblom, Thomas L., 1998. "Impacts of risk aversion on whole-farm management in Syria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-21.
    5. Olson, Kent D. & Mikesell, Chris L., 1988. "The Range Stocking Decision And Stochastic Forage Production," Staff Papers 13502, University of Minnesota, Department of Applied Economics.
    6. Crean, Jason & Parton, Kevin & Mullen, John & Jones, Randall, 2013. "Representing climatic uncertainty in agricultural models – an application of state-contingent theory," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(3).
    7. Apland, Jeffrey & Kaiser, Harry M., 1984. "Discrete Stochastic Sequential Programming: A Primer," Staff Papers 13545, University of Minnesota, Department of Applied Economics.
    8. Dillon, Carl R., 1999. "Production Practice Alternatives For Income And Suitable Field Day Risk Management," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(2), pages 1-15, August.
    9. Anderson, Kim B. & Mapp, Harry P., Jr., 1996. "Risk Management Programs In Extension," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(1), pages 1-8, July.
    10. Serrao, Amilcar & Coelho, Luis, 2004. "Cumulative Prospect Theory: A Study Of The Farmers' Decision Behavior In The Alentejo Dryland Region Of Portugal," 2004 Annual meeting, August 1-4, Denver, CO 20245, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Gomez-Limon, Jose Antonio & Riesgo, Laura & Arriaza Balmón, Manuel, 2003. "Multi-Criteria Analysis Of Factors Use Level: The Case Of Water For Irrigation," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25836, International Association of Agricultural Economists.
    12. Parton, Kevin A., 2009. "Agricultural Decision Analysis: The Causal Challenge," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48150, Australian Agricultural and Resource Economics Society.
    13. Rasmussen, Svend, 2003. "Criteria for optimal production under uncertainty. The state-contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 1-30.
    14. Berg, Ernst & Starp, Michael, 2006. "Farm Level Risk Assessment Using Downside Risk Measures," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25400, International Association of Agricultural Economists.
    15. Hammida, Mustapha & Eidman, Vernon R., 1991. "Livestock And Poultry Production Risk In The United States," Staff Papers 14016, University of Minnesota, Department of Applied Economics.
    16. Gempesaw, Conrado M., II & Tambe, A.M. & Nayga, Rodolfo M., Jr. & Toensmeyer, Ulrich C., 1988. "The Single Index Market Model In Agriculture," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 17(2), pages 1-9, October.
    17. Musser, Wesley N. & Tew, Bernard V., 1984. "Use Of Biophysical Simulation In Production Economics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(1), pages 1-10, July.
    18. J.C. Flinn & S. Jayasuriya & C.G. Knight, 1980. "Incorporating Multiple Objectives In Planning Models Of Low‐Resource Farmers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 24(1), pages 35-45, April.
    19. Bennett, Anne L. & Pannell, David J., 1998. "Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-20.
    20. Gollin, Douglas, 2006. "Impacts of International Research on Intertemporal Yield Stability in Wheat and Maize: An Economic Assessment," Impact Studies 7657, CIMMYT: International Maize and Wheat Improvement Center.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    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:ags:sojoae:30208. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.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.