IDEAS home Printed from https://ideas.repec.org/a/ags/wjagec/32358.html
   My bibliography  Save this article

A Dynamic Model For Determining Optimal Range Improvement Programs

Author

Listed:
  • Bernardo, Daniel J.

Abstract

A Markov chain dynamic programming model is presented for determining optimal range improvement strategies as well as accompanying livestock production practices. The model specification focuses on the improved representation of rangeland dynamics and livestock response under alternative range conditions. The model is applied to range management decision making in the Cross Timbers Region of central Oklahoma. Results indicate that tebuthiuron treatments are economically feasible over the range of treatment costs evaluated. Optimal utilization of forage production following a treatment requires the conjunctive employment of prescribed burning and variable stocking rates over the treatment's life.

Suggested Citation

  • Bernardo, Daniel J., 1989. "A Dynamic Model For Determining Optimal Range Improvement Programs," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(2), pages 1-12, December.
    • Handle: RePEc:ags:wjagec:32358
    DOI: 10.22004/ag.econ.32358
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/32358/files/14020223.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.32358?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. Pope, C. Arden, III & McBryde, Gary L., 1984. "Optimal Stocking Of Rangeland For Livestock Production Within A Dynamic Framework," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(1), pages 1-10, July.
    2. Oscar R. Burt, 1971. "A Dynamic Economic Model of Pasture and Range Investments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(2), pages 197-205.
    3. Brorsen, B. Wade & Walker, Odell L. & Horn, Gerald W. & Nelson, Ted R., 1983. "A Stocker Cattle Growth Simulation Model," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 15(1), pages 1-8, July.
    4. Larry Karp & Arden Pope III, 1984. "Range Management under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(4), pages 437-446.
    5. Oscar R. Burt & John R. Allison, 1963. "Farm Management Decisions With Dynamic Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(1), pages 121-136.
    6. William E. Martin, 1972. "More Sophisticated Tools for Less Important Problems: The History of Rance Improvement Research: A Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(1), pages 132-134.
    Full references (including those not matched with items on IDEAS)

    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. Bernardo, Daniel J. & Conner, J. Richard, 1989. "Methodological Issues in Range Economics: Modeling the Range-Livestock Production System," WAEA/ WFEA Conference Archive (1929-1995) 244846, Western Agricultural Economics Association.
    2. 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.
    3. Olson, Kent D. & George, Melvin R. & Menke, John & Murphy, Al & van Horne, Jeff & Lohr, Luanne, 1987. "Incorporating Weather Variation Into California Rangeland Stocking Rate Decisions," Staff Papers 14040, University of Minnesota, Department of Applied Economics.
    4. Young, Douglas L. & Van Kooten, G.C., 1988. "Incorporating Risk Into A Dynamic Programming Application: Flexcropping," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272781, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    5. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    6. Trapp, James N., 1989. "The Dawning Of The Age Of Dynamic Theory: Its Implications For Agricultural Economics Research And Teaching," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(1), pages 1-11, July.
    7. Thang, Tran Cong & Burton, Michael P. & Brennan, Donna C., 2009. "Optimal replanting and cutting rule for coffee farmers in Vietnam," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47638, Australian Agricultural and Resource Economics Society.
    8. 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.
    9. Li, Zhiguo & Han, Guodong & Zhao, Mengli & Wang, Jing & Wang, Zhongwu & Kemp, David R. & Michalk, David L. & Wilkes, Andreas & Behrendt, Karl & Wang, Hong & Langford, Colin, 2015. "Identifying management strategies to improve sustainability and household income for herders on the desert steppe in Inner Mongolia, China," Agricultural Systems, Elsevier, vol. 132(C), pages 62-72.
    10. Howitt, Richard E. & Reynaud, Arnaud & Msangi, Siwa & Knapp, Keith C., 2002. "Calibrated Stochastic Dynamic Models for Resource Management," 2002 Annual meeting, July 28-31, Long Beach, CA 19620, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Mark E. Eiswerth & G. Cornelis Van Kooten, 2007. "Dynamic Programming and Learning Models for Management of a Nonnative Species," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(4), pages 485-498, December.
    12. Wainger, Lisa A. & King, Dennis M. & Mack, Richard N. & Price, Elizabeth W. & Maslin, Thomas, 2010. "Can the concept of ecosystem services be practically applied to improve natural resource management decisions?," Ecological Economics, Elsevier, vol. 69(5), pages 978-987, March.
    13. Greer, Heather C. & Trapp, James N., 2000. "Impact Of Alternative Grid Pricing Structures On Cattle Marketing Decisions," 2000 Conference, April 17-18 2000, Chicago, Illinois 18926, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    14. May, Gary J. & Jones, Rodney D. & Langemeier, Michael R. & Dhuyvetter, Kevin C., 2000. "Influence Of Land Tenure Arrangements On Grazing Management Incentives," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36442, Western Agricultural Economics Association.
    15. Sawani, Mustafa A. & Finley, Robert M. & Kliebenstein, James B., 1986. "Impact Of Farm Indebtedness On Farm Income And Survival," 1986 Annual Meeting, July 27-30, Reno, Nevada 278069, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Engler, John-Oliver & von Wehrden, Henrik & Baumgärtner, Stefan, 2019. "Determinants of farm size and stocking rate in Namibian commercial cattle farming," Land Use Policy, Elsevier, vol. 81(C), pages 232-246.
    17. Janmaat, J. & vanKooten, G.C., 1992. "An Analysis of the Canadian Gross Revenue Insurance Plan for Southern Saskatchewan," WAEA/ WFEA Conference Archive (1929-1995) 321404, Western Agricultural Economics Association.
    18. James Nolan & Dawn Parker & G. Cornelis Van Kooten & Thomas Berger, 2009. "An Overview of Computational Modeling in Agricultural and Resource Economics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 417-429, December.
    19. Engler, John-Oliver & von Wehrden, Henrik, 2018. "Global assessment of the non-equilibrium theory of rangelands: Revisited and refined," Land Use Policy, Elsevier, vol. 70(C), pages 479-484.
    20. Weisensel, Ward & Schoney, R.A. & Van Kooten, G.C., 1989. "The Relative Riskiness of Fixed Versus Flexible Crop Rotations in the Brown Soil Zone of Southwestern Saskatchewan," WAEA/ WFEA Conference Archive (1929-1995) 244981, Western Agricultural Economics Association.

    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:wjagec:32358. 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/waeaaea.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.