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Geographical Diversification in Agriculture: An Applied Case to Western U.S. Wheat Growers

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Listed:
  • Larsen, Ryan A.
  • Mjelde, James W.
  • Klinefelter, Danny A.
  • Wolfley, Jared L.

Abstract

Yield correlations between 380 different counties are calculated for non-irrigated wheat. Using this data, a function is estimated that shows the relationship between correlation and changes in geographic and climate data. In addition movement variables are included added to the specification to capture the impact of moving from one production region to another. A negative relationship was found between changes in latitude, longitude, precipitation, elevation, and temperature. Correlations and longitude and precipitation showed downward sloping concave relationship, whereas correlations and latitude showed downward sloping convex relationships. Changes in latitude and longitude are found to have greatest impact on correlation with elasticities of -1.54 and -1.

Suggested Citation

  • Larsen, Ryan A. & Mjelde, James W. & Klinefelter, Danny A. & Wolfley, Jared L., 2009. "Geographical Diversification in Agriculture: An Applied Case to Western U.S. Wheat Growers," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46819, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeana:46819
    DOI: 10.22004/ag.econ.46819
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    References listed on IDEAS

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    Cited by:

    1. Elam, Emmett W. & Reeves, Jeanne M., 2010. "The Cotton Wizard: A Software Implementation of a Cotton Variety Selection Model," Cotton Economics Research Institute CER Series 99236, Texas Tech University, Department of Agricultural and Applied Economics.

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