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Facilitating decision-making in agriculture by using a system of models

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Listed:
  • Strauss, P.G.
  • Meyer, Ferdinand H.
  • Kirsten, Johann F.

Abstract

This article presents a deterministic farm-level model developed to link to an existing partial equilibrium sector-level model of the grain and livestock sectors of South Africa. The objective is to create a linked system of models consisting of a sector- and farm-level model with the capability to analyse the likely effects of changes in policies and markets at both the sector and representative farm level in South Africa. A representative farm in the Free State Province is used to validate the farm-level model. The farm-level model is used to simulate a baseline as well as two scenarios of the representative farm for the period 2003 to 2010. Results indicate that the farm-level model simulates the representative farm rather accurately compared to historical data. The baseline and scenario results indicate that the linked system of models can be useful for policy and business decision-makers to analyse the impact of change in policies and markets at both the sector- and farm level.

Suggested Citation

  • Strauss, P.G. & Meyer, Ferdinand H. & Kirsten, Johann F., 2008. "Facilitating decision-making in agriculture by using a system of models," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 47(3), pages 1-19, September.
    • Handle: RePEc:ags:agreko:44028
    DOI: 10.22004/ag.econ.44028
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    References listed on IDEAS

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    1. Meyer, Ferdinand H. & Westhoff, Patrick C. & Binfield, Julian C.R. & Kirsten, Johann F., 2006. "Model closure and price formation under switching grain market regimes in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(4), pages 1-12, December.
    2. Johnson, Stanley R. & Rausser, Gordon C., 1977. "Systems Analysis and Simulation: A Survey of Applications in Agricultural and Resource Economics," A Survey of Agricultural Economics Literature, Volume 2: Quantitative Methods in Agricultural Economics, 1940s to 1970s,, Agricultural and Applied Economics Association.
    3. Reynolds, Sanri & Meyer, Ferdinand & Cutts, Michela & Vink, Nick, 2009. "Modeling Long-term Commodities: the Development of a Simulation Model for the South African Wine Industry within a Partial Equilibrium Framework," Journal of Wine Economics, Cambridge University Press, vol. 4(2), pages 201-218, January.
    4. George F. Patrick & Ludwig M. Eisgruber, 1968. "The Impact of Managerial Ability and Capital Structure on Growth of the Farm Firm," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(3), pages 491-506.
    5. Held, Larry J. & Helmers, Glenn A., 1981. "Growth And Survival In Wheat Farming: The Impact Of Land Expansion And Borrowing Restraints," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 6(2), pages 1-10, December.
    6. Kobrich, C. & Rehman, T. & Khan, M., 2003. "Typification of farming systems for constructing representative farm models: two illustrations of the application of multi-variate analyses in Chile and Pakistan," Agricultural Systems, Elsevier, vol. 76(1), pages 141-157, April.
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    Cited by:

    1. Janeska Stamenkovska, Ivana & Dimitrievski, Dragi & Erjavec, Emil & Zgajnar, Jaka & Martinovska-Stojcheska, Aleksandra, 2012. "Optimisation Of The Vegetable Production In The Republic Of Macedonia; Linear Programming Approach," 132nd Seminar, October 25-27, 2012, Skopje, Republic of Macedonia 139492, European Association of Agricultural Economists.
    2. Stamenkovska, Ivana Janeska & Dimitrievski, Dragi & Erjavec, Emil & Zgajnar, Jaka & Martinovska-Stojcheska, Aleksandra, 2013. "Optimization of production on vegetable farm in the Republic of Macedonia," Agroeconomia Croatica, Croatian Society of Agricultural Economists, vol. 3(01), pages 1-8, September.

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    Farm Management;

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