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Marginal Implicit Values of Soybean Quality Attributes

Author

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  • Parcell, Joseph L.
  • Cain, Jewelwayne S.

Abstract

Soybean quality is becoming more important as markets realize its impact in relation to utility. Soybean meal protein level impacts animal feed efficiency and soybean seed oil content signifies the amount of oil to be used for food, fuel or industrial purposes. Because differences in quality levels exist, quantifying the impacts of these quality-price differences is essential so that the soybean industry understands the implicit-value of enhancing trait levels within a component pricing system. We examine this quality-price relationship using a hedonic price function to estimate and analyze implicit prices attributed to protein and oil contents of U.S. soybeans. We added a spatial dimension in the model by incorporating inter-state competition in soybean quality attributes. We find price premiums associated with higher levels of protein and oil content in soybeans produced within-state. There are also price discounts associated with higher levels of protein and oil content in soybeans from competing states. This indicates the importance of spatial competition in analyzing implicit values of soybean quality attributes.

Suggested Citation

  • Parcell, Joseph L. & Cain, Jewelwayne S., 2014. "Marginal Implicit Values of Soybean Quality Attributes," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162463, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea14:162463
    DOI: 10.22004/ag.econ.162463
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    References listed on IDEAS

    as
    1. Elliott, Lisa & Parcell, Joe & Patterson, David & Smith, Michael F. & Poock, Scott, 2013. "Factors Influencing Beef Reproductive Technology Adoption," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2013, pages 1-20, June.
    2. Parcell, Joseph L. & Stiegert, Kyle W., 1998. "Competition For U.S. Hard Wheat Characteristics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(1), pages 1-15, July.
    3. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    4. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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