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Estimating the Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn

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  • Carter, Colin A.
  • Smith, Aaron D.

Abstract

Genetic modification of crops has revolutionized food production, but it remains controversial due to food safety and environmental concerns. A recent food safety scare provides a natural experiment on the corn market's willingness to accept unapproved genetically modified organisms. In 2000, a genetically modified corn variety called StarLink was discovered in the food-corn supply, even though it was not approved for human consumption. To estimate the price impact of this event, we develop the relative price of a substitute method, which applies not only to the StarLink event but also to rare events in other markets. We apply this method to measure the price impact of the StarLink contamination on the U.S. corn market. We find that the contamination led to a 7 percent suppression of corn prices that lasted for at least a year.

Suggested Citation

  • Carter, Colin A. & Smith, Aaron D., 2006. "Estimating the Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25447, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae06:25447
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    References listed on IDEAS

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    Cited by:

    1. Wyn Morgan & John Cotter & Kevin Dowd, 2012. "Extreme Measures of Agricultural Financial Risk," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(1), pages 65-82, February.
    2. David Ubilava, 2014. "El Niño Southern Oscillation and the fishmeal–soya bean meal price ratio: regime-dependent dynamics revisited," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 41(4), pages 583-604.
    3. Filipski, Mateusz J. & Jin, Ling & Zhang, Xiaobo & Chen, Kevin Z., 2015. "Living like there’s no tomorrow: Saving and spending following the Sichuan earthquake:," IFPRI discussion papers 1461, International Food Policy Research Institute (IFPRI).
    4. Almánzar, Miguel & Torero, Máximo & Grebmer, Klaus von, 2013. "Futures Commodities Prices and Media Coverage," Discussion Papers 149414, University of Bonn, Center for Development Research (ZEF).
    5. Han, Xue & Philip, Garcia, 2016. "GMO Contamination Price Effects in the U.S. Corn Market: StarLink and MIR162," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236004, Agricultural and Applied Economics Association.
    6. Kalaitzandonakes, Nicholas & Kaufman, James & Miller, Douglas, 2014. "Potential economic impacts of zero thresholds for unapproved GMOs: The EU case," Food Policy, Elsevier, vol. 45(C), pages 146-157.
    7. de Faria, Rosane Nunes & Wieck, Christine, 2014. "Measuring The Extent Of Gmo Asynchronous Approval Using Regulatory Dissimilarity Indices: The Case Of Maize And Soybean," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182796, European Association of Agricultural Economists.
    8. repec:bla:jageco:v:68:y:2017:i:1:p:182-198 is not listed on IDEAS
    9. Henseler, Martin & Piot-Lepetit, Isabelle & Ferrari, Emanuele & Mellado, Aida Gonzalez & Banse, Martin & Grethe, Harald & Parisi, Claudia & Hélaine, Sophie, 2013. "On the asynchronous approvals of GM crops: Potential market impacts of a trade disruption of EU soy imports," Food Policy, Elsevier, vol. 41(C), pages 166-176.
    10. R. Guy Reeves & Martin Phillipson, 2017. "Mass Releases of Genetically Modified Insects in Area-Wide Pest Control Programs and Their Impact on Organic Farmers," Sustainability, MDPI, Open Access Journal, vol. 9(1), pages 1-24, January.
    11. Wesseler, Justus, 0. "Biotechnologies and agrifood strategies: opportunities, threats and economic implications," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), issue 3.
    12. de Faria, Rosane Nunes & Wieck, Christine, 2015. "Empirical evidence on the trade impact of asynchronous regulatory approval of new GMO events," Food Policy, Elsevier, vol. 53(C), pages 22-32.

    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; Research and Development/Tech Change/Emerging Technologies; Q11; Q18; C22;

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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