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Adoption of Genetically Modified Crops in South Africa: Effects on wholesale maize prices

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  • Abidoye, Babatunde O.
  • Mabaya, Edward

Abstract

The ability of genetically modified (GM) crops to increase yields and reduce use of pesticides is well established. Based on food security needs and the central role of agriculture, Africa may stand to benefit from green biotechnology given the low agricultural productivity and the looming food crises in most urban areas. However, the adoption of GM crops in Africa has been slow and limited to a handful of countries. The primary objective of this paper is to evaluate the impact of GM maize adoption in South Africa by looking at wholesale spot prices. We are apply a threshold autoregressive model to time series data on price of maize and GM adoption rates in South Africa to address the following questions: (1) Does the adoption of GM maize excite the growth rate of price of maize in South Africa; (2) Does the error variance of the maize price growth rate exhibit regime-switching behavior to impact the volatility? The results shows evidence that the adoption of GM maize influences the dynamics of the maize price growth rate in South Africa. Further, there is strong evidence that the error variance exhibits regime-switching behavior with the posterior mean for the error variance in the first regime about twice as large as that of the second regime. The paper closes with some conclusions and summary of key points.

Suggested Citation

  • Abidoye, Babatunde O. & Mabaya, Edward, 2013. "Adoption of Genetically Modified Crops in South Africa: Effects on wholesale maize prices," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160579, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae13:160579
    DOI: 10.22004/ag.econ.160579
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    References listed on IDEAS

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    1. John Geweke & Nobuhiko Terui, 1993. "Bayesian Threshold Autoregressive Models For Nonlinear Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 14(5), pages 441-454, September.
    2. Cathy W. S. Chen & Jack C. Lee, 1995. "Bayesian Inference Of Threshold Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(5), pages 483-492, September.
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    Keywords

    Agribusiness; Crop Production/Industries;

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