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, December.
    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. 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.
    2. 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.
    3. Lambert, David K., 1989. "Calf Retention And Production Decisions Over Time," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(01), pages 1-11, July.
    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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. Apland, Jeffrey & Kaiser, Harry M., 1984. "Discrete Stochastic Sequential Programming: A Primer," Staff Papers 13545, University of Minnesota, Department of Applied Economics.
    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(01), pages 1-8, July.
    10. Liu, Xuanli & Miller, Gay Y. & McNamara, Paul E., 2005. "Do Antibiotics Reduce Production Risk for U.S. Pork Producers?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(3), pages 1-11, December.
    11. 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).
    12. Taylor, R. Garth & Young, Robert A., 1995. "Rural-To-Urban Water Transfers: Measuring Direct Foregone Benefits Of Irrigation Water Under Uncertain Water Supplies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(2), pages 1-16, December.
    13. Featherstone, Allen M. & Moss, Charles B., 1990. "Quantifying Gains To Risk Diversification Using Certainty Equivalence In A Mean-Variance Model: An Application To Florida Citrus," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(2), pages 1-7, December.
    14. John Quiggin, 1981. "Risk Perception And The Analysis Of Risk Attitudes," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 25(2), pages 160-169, August.
    15. Heidelbach, Olaf & Bokusheva, Raushan, 2009. "Crop insurance market development in a transition economy: The case of Kazakhstan," 2009 Conference, August 16-22, 2009, Beijing, China 51614, International Association of Agricultural Economists.
    16. Ramaratnam, S. Sri & Rister, M. Edward & Bessler, David A. & Novak, James L., 1986. "Risk Attitudes And Farm/Producer Attributes: A Case Study Of Texas Coastal Bend Grain Sorghum Producers," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(2), pages 1-11, December.
    17. Hardaker, J. Brian & Lien, Gudbrand D., 2003. "Stochastic Efficiency Analysis With Risk Aversion Bounds: A Simplified Approach," Working Papers 12954, University of New England, School of Economics.
    18. 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.
    19. 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.
    20. 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.

    More about this item

    Keywords

    ;

    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.