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Risks and risk premiums of GE corn: A macromarketing framework

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  • Nganje, William
  • Fosu, Prince

Abstract

It has been more than two decades since genetic engineered (GE) corn has been introduced in the United States and Spain. Despite the wide scale adoption of GE corn, (92% of planted acreage in the US in 2017), biodiversity conservation, environmental protection goals, and food safety continue to surface as potential risk factors. We developed a macromarketing framework to provide a linkage between the consumers, producers, and societal impacts of GE corn. An empirical Arbitrage Pricing Model (APT) was used to quantify risks and risk premiums associated with GE corn production. The risk premium deduced from the APT model provides a measure of intrinsic compensation for taking on higher or lower risks by participants in the marketing system. An Auto-Regressive Distributed Lag (ARDL) regression estimation of the APT model reveals that GE causes corn prices to go down due to increase supply, but significantly reduced the risk premium for producing corn in the United States. GE corn also provided environmental beneficial outcomes by reducing the use of fertilizers.

Suggested Citation

  • Nganje, William & Fosu, Prince, 2022. "Risks and risk premiums of GE corn: A macromarketing framework," Ecological Economics, Elsevier, vol. 201(C).
  • Handle: RePEc:eee:ecolec:v:201:y:2022:i:c:s0921800922002221
    DOI: 10.1016/j.ecolecon.2022.107560
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    References listed on IDEAS

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    1. Giraud, Kelly L. & Bond, Craig A. & Bond, Jennifer Keeling, 2005. "Consumer Preferences for Locally Made Specialty Food Products Across Northern New England," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 34(2), pages 1-13, October.
    2. Dahl, Bruce & Wilson, William W., 2018. "Risk premiums due to Fusarium Head Blight (FHB) in wheat and barley," Agricultural Systems, Elsevier, vol. 162(C), pages 145-153.
    3. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    4. Barham, Bradford L. & Chavas, Jean-Paul & Fitz, Dylan & Salas, Vanessa Ríos & Schechter, Laura, 2014. "The roles of risk and ambiguity in technology adoption," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 204-218.
    5. Nicolaas Groenewold, 1997. "Share Prices and Macroeconomic Factors," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(9&10), pages 1367-1383.
    6. Lalitha, N., 2004. "Diffusion of agricultural biotechnology and intellectual property rights: emerging issues in India," Ecological Economics, Elsevier, vol. 49(2), pages 187-198, June.
    7. Santi Sanglestsawai & Roderick M. Rejesus & Jose M. Yorobe Jr., 2015. "Economic impacts of integrated pest management (IPM) farmer field schools (FFS): evidence from onion farmers in the Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 149-162, March.
    8. Giraud, Kelly L. & Bond, Craig A. & Bond, Jennifer J., 2005. "Consumer Preferences for Locally Made Specialty Food Products Across Northern New England," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(2), pages 204-216, October.
    9. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    10. William E. Nganje & Mary S. Friedrichsen & Cole R. Gustafson & Gregory McKee, 2007. "Marginal impact of sales consultant visits and financing opportunities on adoption of variable‐rate fertilizer application," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 67(2), pages 295-310, November.
    11. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    12. Adusumilli, Naveen & Wang, Hua & Dodla, Syam & Deliberto, Michael, 2020. "Estimating risk premiums for adopting no-till and cover crops management practices in soybean production system using stochastic efficiency approach," Agricultural Systems, Elsevier, vol. 178(C).
    13. Fosu, Prince & Wahl, Thomas I., 2019. "Trade in CRISPR Wheat: A Partial Equilibrium Analysis," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290921, Agricultural and Applied Economics Association.
    14. Nicolaas, Patricia Groenewold Fraser, 1997. "Share Prices and Macroeconomic Factors," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(9‐10), pages 1367-1383, October.
    15. Philippe Bontems & Alban Thomas, 2000. "Information Value and Risk Premium in Agricultural Production: The Case of Split Nitrogen Application for Corn," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 59-70.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Genetic engineered corn; Risk; Risk premium; Arbitrage pricing theory; Macromarketing system;
    All these keywords.

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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