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How Far Can Poultry Litter Go? A New Technology for Litter Transport

Author

Listed:
  • Carreira, Rita I.
  • Young, Kenneth B.
  • Goodwin, Harold L., Jr.
  • Wailes, Eric J.

Abstract

Exporting northwest Arkansas excess turkey and broiler litter to partially fertilize nutrient-deficient cropland in eastern Arkansas can be more cost effective than to supply all crop nutrients with chemical fertilizer only, given current high fertilizer prices. Cost savings are greater if litter is baled in ultraviolet resistant plastic and transported via truck, since backhaul opportunities reduce truck rates, or alternatively, if raw litter is shipped via a truck-barge combination. Rice is the crop that allows for greater savings according to a mathematical programming model implemented in General Algebraic Modeling System (GAMS).

Suggested Citation

  • Carreira, Rita I. & Young, Kenneth B. & Goodwin, Harold L., Jr. & Wailes, Eric J., 2007. "How Far Can Poultry Litter Go? A New Technology for Litter Transport," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 39(03), December.
  • Handle: RePEc:ags:joaaec:37050
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    File URL: http://purl.umn.edu/37050
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    Citations

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    Cited by:

    1. Mullen, Jeffrey D. & Bekchanov, Ulugbek & Karali, Berna & Kissel, David & Risse, Mark L. & Rowles, Kristin & Collier, Sam, 2011. "Assessing the Market for Poultry Litter in Georgia: Are Subsidies Needed to Protect Water Quality?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(04), November.
    2. Ali, Sarah & McCann, Laura M.J. & Allspach, Jessica, 2012. "Manure Transfers in the Midwest and Factors Affecting Adoption of Manure Testing," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(04), November.

    More about this item

    Keywords

    baling poultry litter; barge transportation; cost minimization; manure management; mathematical programming; nutrient surplus; poultry litter; truck transportation; Agribusiness; Crop Production/Industries; C61; C65; Q12; Q30; Q53;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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