IDEAS home Printed from https://ideas.repec.org/p/ags/ifma99/346546.html
   My bibliography  Save this paper

Modelling the Relationships Between Farmers' Objectives and the Decisions Related to the Stocking Rate in Beef Production Systems of Central Brazil

Author

Listed:
  • Costa, Fernando Palm
  • Rehman, Tahir

Abstract

In Central Brazil, the sustainability of beef cattle systems is under threat. More than half the 50 million ha of sown pastures are suffering from degradation. Overgrazing is one of the main causes, and therefore choice of the stocking rate is a crucial decision taken by the farmers. Hypotheses to explain the overgrazing paradox have been explored by a model where 'cattle ownership' and ‘economic returns' were optimized individually and then simultaneously, using Multi-period Linear Programming and Compromise Programming techniques. Different scenarios based on farmers' attitudes towards overgrazing, pasture costs and capital availability were analysed. In some cases, benefits from holding more cattle can compensate for the increasing costs of maintaining pastures - an observation that undermines the hypothesis that farmers practise overgrazing because they are unaware or uncaring about overgrazing costs. An appropriate approach to the problem of pasture degradation requires information on the economy of a wide range of pasture recovery and maintenance methods, accepting that some level of overgrazing could be rational.

Suggested Citation

  • Costa, Fernando Palm & Rehman, Tahir, 1999. "Modelling the Relationships Between Farmers' Objectives and the Decisions Related to the Stocking Rate in Beef Production Systems of Central Brazil," 12th Congress, Durban, South Africa, July 18-24, 1999 346546, International Farm Management Association.
    • Handle: RePEc:ags:ifma99:346546
    DOI: 10.22004/ag.econ.346546
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/346546/files/IFMA12_037.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.346546?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. McCarl, Bruce A. & Apland, Jeffrey, 1986. "Validation Of Linear Programming Models," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(2), pages 1-10, December.
    2. Ronald D. Krenz, 1964. "Paired Comparisons as Applied to Seeding Cropland to Grass," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(5), pages 1219-1226.
    3. Rehman, T. & Romero, C., 1993. "The application of the MCDM paradigm to the management of agricultural systems: Some basic considerations," Agricultural Systems, Elsevier, vol. 41(3), pages 239-255.
    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. Costa, Fernando Paim & Rehman, Tahir, 2005. "Unravelling the rationale of `overgrazing' and stocking rates in the beef production systems of Central Brazil using a bi-criteria compromise programming model," Agricultural Systems, Elsevier, vol. 83(3), pages 277-295, March.
    2. Arriaza Balmón, Manuel & Gomez-Limon, Jose Antonio, 2002. "Comparative Performance of Selected Mathematical Programming Models," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24792, European Association of Agricultural Economists.
    3. 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).
    4. Michiel van Dijk & George Philippidis & Geert Woltjer, 2016. "Catching up with history: A methodology to validate global CGE models," FOODSECURE Technical papers 9, LEI Wageningen UR.
    5. Maxwell Mkondiwa & Jeffrey Apland, 2022. "Inter-district food flows in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1553-1568, December.
    6. Pepijn Schreinemachers & Thomas Berger & Aer Sirijinda & Suwanna Praneetvatakul, 2009. "The Diffusion of Greenhouse Agriculture in Northern Thailand: Combining Econometrics and Agent‐Based Modeling," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 513-536, December.
    7. Tipparat Pongthanapanich, 2003. "Review of Mathematical Programming for Coastal Land Use Optimization," Working Papers 52/2003, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    8. M J López-Baldovin & C Gutiérrez-Martin & J Berbel, 2006. "Multicriteria and multiperiod programming for scenario analysis in Guadalquivir river irrigated farming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 499-509, May.
    9. Gomez-Limon, J. A. & Berbel, J., 2000. "Multicriteria analysis of derived water demand functions: a Spanish case study," Agricultural Systems, Elsevier, vol. 63(1), pages 49-72, January.
    10. Stelios, Rozakis & Alexandra, Sintori & Konstantinos, Tsiboukas, 2009. "Utility-derived Supply Function of Sheep Milk: The Case of Etoloakarnania, Greece," 113th Seminar, September 3-6, 2009, Chania, Crete, Greece 58126, European Association of Agricultural Economists.
    11. Nhantumbo, I. & Dent, J. B. & Kowero, G., 2001. "Goal programming: Application in the management of the miombo woodland in Mozambique," European Journal of Operational Research, Elsevier, vol. 133(2), pages 310-322, January.
    12. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    13. Hayashi, Kiyotada, 2000. "Multicriteria analysis for agricultural resource management: A critical survey and future perspectives," European Journal of Operational Research, Elsevier, vol. 122(2), pages 486-500, April.
    14. Bohan, A. & Shalloo, L. & Malcolm, B. & Ho, C.K.M. & Creighton, P. & Boland, T.M. & McHugh, N., 2016. "Description and validation of the Teagasc Lamb Production Model," Agricultural Systems, Elsevier, vol. 148(C), pages 124-134.
    15. Costa, F. P. & Rehman, T., 1999. "Exploring the link between farmers' objectives and the phenomenon of pasture degradation in the beef production systems of Central Brazil," Agricultural Systems, Elsevier, vol. 61(2), pages 135-146, August.
    16. Dionysis Latinopoulos, 2009. "Multicriteria decision-making for efficient water and land resources allocation in irrigated agriculture," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(2), pages 329-343, April.
    17. Gomez-Limon, Jose Antonio & Berbel, Julio & Arriaza Balmón, Manuel, 2005. "MCDM Farm System Analysis for Public Management of Irrigated Agriculture," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24676, European Association of Agricultural Economists.
    18. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    19. Veysset, P. & Bebin, D. & Lherm, M., 2005. "Adaptation to Agenda 2000 (CAP reform) and optimisation of the farming system of French suckler cattle farms in the Charolais area: a model-based study," Agricultural Systems, Elsevier, vol. 83(2), pages 179-202, February.
    20. Pannell, David J. & Kingwell, Ross S. & Schilizzi, Steven, 1996. "Debugging Mathematical Programming Models: Principles and Practical Strategies," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(01), pages 1-15, April.

    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:ifma99:346546. 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/ifmaaea.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.