IDEAS home Printed from https://ideas.repec.org/p/ags/saea13/143054.html
   My bibliography  Save this paper

Grain Transport on the Mississippi River and Spatial Corn Basis

Author

Listed:
  • Li, Shu
  • Thurman, Walter N.

Abstract

This paper analyzes the effects of waterway transportation costs on the spatial distribution of corn prices at U.S. grain markets. Interregional trade theory predicts that in a competitive market price differences between markets are explained by transportation cost. The precise role played by transportation costs can depend on distances that grain needs to travel and also on the extent to which markets are integrated into the transportation system. The Mississippi waterway consists of an efficient barge transportation system that links the Midwest to the largest grain export market, the Gulf of Mexico. In markets with export to the Gulf, we predict that: (1) the magnitude of price differences between two markets increases with an exogenous increase in barge rates; (2) the response of prices to barge rate changes for markets on the river is greater the farther north, or upstream, the market is; (3) the magnitude of the barge-rate effect on prices declines with distance from the market to the river; (4) the barge-rate effect is less pronounced in markets that are less integrated into the river system. We develop theory-based predictions along these lines. We test the predictions and measure the associated effects with a mixture of parametric and nonparametric methods applied to a rich panel data set of corn prices from over one thousand locations.

Suggested Citation

  • Li, Shu & Thurman, Walter N., 2013. "Grain Transport on the Mississippi River and Spatial Corn Basis," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143054, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea13:143054
    DOI: 10.22004/ag.econ.143054
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/143054/files/Grain%20Transport%20on%20the%20Mississippi%20River%20and%20Spatial%20Corn%20Basis.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.143054?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    2. Xiaojie Xu, 2019. "Price dynamics in corn cash and futures markets: cointegration, causality, and forecasting through a rolling window approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 155-181, June.
    3. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    4. Adjemian, Michael K. & Marshall, Kandice K. & Hubbs, Todd & Penn, Jerrod, 2016. "Decomposing Local Prices into Hedgeable and Unhedgeable Shocks," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235874, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Agribusiness; Crop Production/Industries; Demand and Price Analysis;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:saea13:143054. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.