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An Empirical Investigation of the Ownership of Large Grain Hauling Vehicles by Farmers: A Case Study of Iowa

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  • Yu, Tun-Hsiang (Edward)
  • Hart, Chad E.
  • Du, Xiaodong

Abstract

This paper applied a negative Binomial model to investigate the factors influencing the number of semi trucks owned by grain producers in Iowa. Results suggest that crop planted areas, distance on various roads to market, ethanol plants, and farmers’ perceptions on various marketing hindrances affected their ownership of semi trucks.

Suggested Citation

  • Yu, Tun-Hsiang (Edward) & Hart, Chad E. & Du, Xiaodong, 2013. "An Empirical Investigation of the Ownership of Large Grain Hauling Vehicles by Farmers: A Case Study of Iowa," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143102, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea13:143102
    DOI: 10.22004/ag.econ.143102
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    References listed on IDEAS

    as
    1. Gervais, Jean-Philippe & Baumel, C. Phillip, 1998. "The Iowa Grain Flow Survey: Where and How Iowa Grain Producers Ship Corn and Soybeans," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 37(1).
    2. Surendra N. Kulshreshtha, 1975. "Ownership of Farm Trucks for Hauling Grain: An Application of Multivariate Logit Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(2), pages 302-308.
    3. Gervais, Jean-Philippe & Baumel, C. Phillip, 1998. "The Iowa Grain Flow Survey: Where and How Grain Producers Ship Corn and Soybeans," Staff General Research Papers Archive 1200, Iowa State University, Department of Economics.
    4. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    5. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
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    Keywords

    Agribusiness; Farm Management;

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