IDEAS home Printed from https://ideas.repec.org/a/ags/agreko/54240.html
   My bibliography  Save this article

Modelling fertiliser use in the grain crop and oilseed sectors of South Africa

Author

Listed:
  • Breitenbach, Marthinus C.
  • Meyer, Nicolas G.

Abstract

A Partial Equilibrium (PE) model is developed to model fertiliser use in the grain crop and oilseed sectors to assess the impact of changes in the physical and economic environment on production and fertiliser use. Since the adoption of a policy of trade liberalisation and the shift towards a free market for agricultural products, the actual cropping patterns of grain crops have moved closer to the expected optimum production pattern. It is shown that the total area cultivated will decrease by 2,4 percent. Results show that except for the area under sunflower (that remains unchanged) and yellow maize that increases, the area utilised by other crops will decrease. Fertiliser use is directly correlated with production patterns in the provinces. A comparison of the base-case scenario and optimum solution revealed that the movement from a base to an optimum solution results in a drop in total area cultivated, production and exports. Fertiliser use correspondingly decreases.

Suggested Citation

  • Breitenbach, Marthinus C. & Meyer, Nicolas G., 2000. "Modelling fertiliser use in the grain crop and oilseed sectors of South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(3), pages 1-19, September.
    • Handle: RePEc:ags:agreko:54240
    DOI: 10.22004/ag.econ.54240
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/54240/files/06%20Breitenbach%20_%20Meyer%20Sept%202000.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.54240?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. Young, Douglas L., 1979. "Risk Preferences Of Agricultural Producers: Their Use In Extension And Research," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 278203, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 53-62.
    3. Peter J. Barry & Donald R. Fraser, 1976. "Risk Management in Primary Agricultural Production: Methods, Distribution, Rewards, and Structural Implications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(2), pages 286-295.
    4. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(4), pages 664-665.
    5. B. Curtis Eaves, 1971. "On Quadratic Programming," Management Science, INFORMS, vol. 17(11), pages 698-711, July.
    6. Douglas L. Young, 1979. "Risk Preferences of Agricultural Producers: Their Use in Extension and Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 1063-1070.
    7. P. B. R. Hazell & P. L. Scandizzo, 1974. "Competitive Demand Structures under Risk in Agricultural Linear Programming Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 235-244.
    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. Erasmus, Barend & van Jaarsveld, Albert & van Zyl, Johan & Vink, Nick, 2000. "The effects of climate change on the farm sector in the Western Cape," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-15, December.
    2. van Zyl, Johan & Vink, Nick, 1997. "The effects of water policies on the farm sector in the Western Cape," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 36(4), pages 1-13, December.
    3. van Zyl, Johan & Vink, Nick & Erasmus, Barend & van Jaarsveld, Albert & Kirsten, Johann F., 2001. "Modelling the Effects of Climate Change on Agriculture in South Africa: The Case of The Western Cape," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 126058, Australian Agricultural and Resource Economics Society.
    4. van Zyl, J. & Groenewald, J. A., 1986. "A Comparison Of Certain Decision-Making Techniques Under Risk - An Empirical Investigation Of Maize Cultivar Selection," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 25(1), February.
    5. S. Martin & F. McLeay, 1998. "The Diversity of Farmers' Risk Management Strategies in a Deregulated New Zealand Environment," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(2), pages 218-233, June.
    6. Norton, George W., 1976. "Constraints To Increasing Livestock Production In Less Developed Countries: A Literature Review," Staff Papers 14043, University of Minnesota, Department of Applied Economics.
    7. J. Hope & J. Lingard, 1992. "The Influence Of Risk Aversion On The Uptake Of Set‐Aside: A Motad And Crp Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 43(3), pages 401-411, September.
    8. Mapp, Harry P. & Hardin, Michael L. & Walker, Odell L. & Persaud, Tillak, 1979. "Analysis Of Risk Management Strategies For Agricultural Producers," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 278205, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Musshoff, Oliver & Hirschauer, Norbert, 2004. "Optimierung unter Unsicherheit mit Hilfe stochastischer Simulation und Genetischer Algorithmen – dargestellt anhand der Optimierung des Produktionsprogramms eines Brandenburger Marktfruchtbetriebes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 53(07), pages 1-16.
    10. Louhichi, Kamel & Flichman, Guillermo & Blanco Fonseca, Maria, 2009. "A generic template for FSSIM," Reports 57463, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    11. Paudel, K. P. & Lohr, L. & Martin, N. R., 2000. "Effect of risk perspective on fertilizer choice by sharecroppers," Agricultural Systems, Elsevier, vol. 66(2), pages 115-128, November.
    12. Just, Richard E., 2000. "Some Guiding Principles for Empirical Production Research in Agriculture," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(2), pages 138-158, October.
    13. Adams, Richard M. & Menkhaus, Dale J. & Woolery, Bruce A., 1980. "Alternative Parameter Specification In E, V Analysis: Implications For Farm Level Decision Making," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 5(1), pages 1-8, July.
    14. Anderson, Jock R., 1975. "Programming For Efficient Planning Against Non-Normal Risk," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 19(2), pages 1-14, August.
    15. Hardaker, J. Brian & Pandey, Sushil & Patten, Louise H., 1991. "Farm Planning under Uncertainty: A Review of Alternative Programming Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), pages 1-14, April.
    16. Walker, Odell L. & Hardin, Mike L. & Mapp, Harry P., Jr. & Roush, Clint E., 1979. "Farm Growth And Estate Transfer In An Uncertain Environment," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 11(1), pages 1-12, July.
    17. Brown, Colin G. & Drynan, Ross G., 1986. "Plant Location Analysis Using Discrete Stochastic Programming," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 30(1), pages 1-22, April.
    18. Carvalho, Maria Leonor da Silva & Godinho, Maria de Lurdes Ferro, 2005. "Consequences of the 2003 CAP Reform on a Mediterranean Agricultural System of Portugal," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24719, European Association of Agricultural Economists.
    19. Nelson, A. Gene, 1980. "The Case For And Components Of A Probabilistic Agricultural Outlook Program," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 5(2), pages 1-10, December.
    20. Apland, Jeffrey & Kaiser, Harry M., 1984. "Discrete Stochastic Sequential Programming: A Primer," Staff Papers 13545, University of Minnesota, Department of Applied Economics.

    More about this item

    Keywords

    Crop Production/Industries;

    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:agreko:54240. 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/aeasaea.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.