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Farm-Level Price Formation for Fresh Sweet Cherries

Author

Listed:
  • Flaming, Stephen
  • Marsh, Thomas L.
  • Wahl, Thomas I.

Abstract

We estimate price formation in the sweet cherry market using an inverse demand system with farm-level price and quantity data from states in the Pacific Northwest and California. Between 0.60 and 0.78 of the variation in annual cherry price is explained by the states’ production, domestic consumption, and exports. Washington and California prices are most responsive to their own quantity. Output flexibilities indicate that Oregon is responsive to a change in quantity supplied to the domestic market. Results also indicate that cherry price is most sensitive to quantity supplied to the export and domestic markets.

Suggested Citation

  • Flaming, Stephen & Marsh, Thomas L. & Wahl, Thomas I., 2007. "Farm-Level Price Formation for Fresh Sweet Cherries," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(2), pages 1-11, July.
  • Handle: RePEc:ags:jlofdr:43495
    DOI: 10.22004/ag.econ.43495
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    References listed on IDEAS

    as
    1. Fengxia Dong & Thomas L. Marsh & Kyle W. Stiegert, 2006. "State Trading Enterprises in a Differentiated Product Environment: The Case of Global Malting Barley Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 90-103.
    2. Fengxia Dong & Thomas L. Marsh & Kyle W. Stiegert, 2003. "State Trading Enterprises in a Differentiated Environment: The Case of Global Malting Barley Markets," Center for Agricultural and Rural Development (CARD) Publications 03-wp350, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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    Cited by:

    1. Florkowski, Wojciech J. & Carew, Richard, 2011. "An Analysis of Price Determination in the Sweet Cherry Markets of British Columbia, Washington, Oregon and California," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114352, European Association of Agricultural Economists.

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    Keywords

    Demand and Price Analysis;

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