Financial impact of wheat quality standards on South African wheat producers: A dynamic linear programming (DLP) approach

References

• Acs, S, Berentsen, PBM & Huirne, RBM, 2007. Conversion to organic arable farming in The Netherlands: A dynamic linear programming analysis. Agricultural Systems 94, 405–15. doi: 10.1016/j.agsy.2006.11.002
   Web of Science ®Google Scholar
• Blakeney, AB, Cracknell, RL, Crosbie, GB, Jefferies, SP, Miskelly, DM, O’Brien, L & William, RM, 2009. Understanding Australian wheat quality. wheat quality objectives group/grain research and development corporation, Kingston, Australia.
   Google Scholar
• Buysse, J, Van Huylenbroeck, G & Lauwers, L, 2007. Normative, positive and econometric mathematical programming as tools for incorporation of multifunctionality in agricultural policy modelling. Agriculture, Ecosystem and Environment 120, 70–81. doi: 10.1016/j.agee.2006.03.035
   Web of Science ®Google Scholar
• De Villiers, JF, 2004. Maize and wheat quality — future industry requirements. Executive Director, Chamber of Milling.
   Google Scholar
• Du Plessis, L, Du Toit, G, Gebrehiwet, Y, Kirsten, J, Lemmer, W, Meyer, F, Punt, C, Rantho, L, Reynolds, S, Strauss, PG, Troskie, D, Van Deventer, C, Van Schalkwyk, H, Van Schoor, M. and Vink, N. 2005. The competitiveness of wheat production in the Western Cape, South Africa. A report to Grain South Africa.
   Google Scholar
• Du Plessis, L, Du Toit, G, Gebrehiwet, Y, Kirsten, J, Lemmer, W, Meyer, F, Punt, C, Rantho, L, Reynolds, S, Strauss, PG, Troskie, D, Van Deventer, C & Engelbrecht, M, 2008. Assessment of variance in measurement of hectolitre mass of wheat and maize, using equipment from different grain producing and exporting countries. Presented in partial fulfilment of the requirements for the degree Master of Science in Food Science, Department of Food Science, Faculty of AgriSciences, University of Stellenbosch.
   Google Scholar
• Engelbrecht, M. 2008. Assessment of variance in measurement of hectolitre mass of wheat and maize, using equipment from different grain producing and exporting countries. Presented in partial fulfilment of the requirements for the degree Master of Science in Food Science, Department of Food Science, Faculty of AgriSciences, University of Stellenbosch.
   Google Scholar
• Fernagut, B, Nasse, L, Lauwers, L, Buysse, J, Van Huylenbroeck, G, Harmingie, O, Polomé, P & De Frahan, B, 2004. Organisation of knowledge transfer in agricultural policy analysis. In van Huylenbroeck, G, Verbeke, W & Lauwers, L (Eds.), Role of institutions in rural policies and agricultural markets. Elsevier B.V., Amsterdam, 183–96.
   Google Scholar
• Fossati, D, Brabant, C, & Kleijer, G, 2010. Yield, protein content, bread making quality and market requirements of wheat. Tagung der Vereinigung der Pflfl Anzenzüchter und Saatgutkauflfl Eute Österreichs 61, 179–82.
   Google Scholar
• Hazell, PBR & Norton, RD, 1986. Mathematical programming for economic analysis in agriculture. Macmillan Publishing Company, New York, NY.
   Google Scholar
• Hofstrand, D, 2009. Understanding profitability. Ag decision maker. Available online at: http://www.extension.iastate.edu/agdm. Accessed 1 December 2014
   Google Scholar
• Karaman, S, Cetin, B, Oguzlar, A & Yagdi, K, 2009. Hedonic price estimation for the turkish bread wheat characteristics. Quality & Quantity 43, 895–902. doi: 10.1007/s11135-008-9165-z
   Web of Science ®Google Scholar
• Louw, DB & Van Schalkwyk, HD, 1998. The development of a methodology to determine the true value of water in the berg river basin. Unpublished background report. Water Research Commission.
   Google Scholar
• Louw, DB, Van Schalkwyk, HD, Grovè, B, & Taljaard, PR, 2007. Market risk, water management and the multiplier effects of irrigation agriculture with reference to the Northern Cape. Final report to the Water Research Commission. Department of Agricultural Economics, University of the Free State.
   Google Scholar
• Louw, DB, Van Schalkwyk, HD, Grovè, B, & Taljaard, PR, 2014. Market risk, water management and the multiplier effects of irrigation agriculture with reference to the Northern Cape. Final report to the Water Research Commission — Adjusted for the purposes of this study. Department of Agricultural Economics, University of the Free State.
   Google Scholar
• Mills, G, 1984. Optimisation in economic analysis. George Allen and Unwin Ltd., London.
   Google Scholar
• SAGL, 2010. Analysis procedure and evaluation norms for the classification of wheat breeders’ lines for the RSA. September 2010 revision.
   Google Scholar
• SAGL, 2013. Analysis procedure and evaluation norms for the classification of wheat breeders’ lines for the RSA. September 2013 revision.
   Google Scholar
• Saskatchewan Ministry of Agriculture, 2014. Comprehensive guide to farm financial management: Programs and services. Module 7: Cash flow statement analysis. http://www.agriculture.gov.sk.ca/CGFFM_Cash_Flow_Statement_Analysis. Accessed 12 August 2014
   Google Scholar
• Smith, VH, 2000. Wheat quality and wheat yields: Trade-offs among price, yields, profit and risk. U.S. Department of Agriculture, Special Report No.5.
   Google Scholar
• Statistics Canada, 2013. Net farm income. Statistics Canada Catalogue no. 12-591-XWE. http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=3473. Accessed 24 October 2013
   Google Scholar
• Throsby, CD, 1962. “Some notes on ‘Dynamic’ linear programming: A reply,” review of marketing and agricultural economics. Australian Agricultural and Resource Economics Society 30(4), 230–2.
   Google Scholar
• Van der Merwe, JD, 2015. Quality, pricing and the performance of the wheat industry in South Africa. Submitted for the degree: Philosophiae Doctor. North-West University (Potchefstroom Campus).
   Google Scholar
• Van Schalkwyk, HD & Van Deventer, CS, 2005. The profitability and competitiveness of the South African wheat industry. Aginfo trading as AMT (PTY) LTD, Pretoria.
   Google Scholar
• Van Zyl, J, Van Schalkwyk, HD & Thirtle, C, 1993. Entrepreneurship and the bottom line: how much of agriculture’s profits is due to changes in price, how much to productivity? Agrekon 32(4), 223–9. doi: 10.1080/03031853.1993.9524746
   Google Scholar
• Vink, N & Kirsten, J, 2000. Deregulation of agricultural marketing in South Africa: Lessons learned. The Free Market Foundation, Sandton. Monograph 25.
   Google Scholar