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Modeling The World Grain-Oilseeds-Livestock Economy To Assess World Food Prospects

Author

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  • Rojko, Anthony S.
  • Schwartz, Martin W.

Abstract

Mathematical programming methods are used as a framework to evaluate world food prospects. Emphasis is on analyzing the world grain-oilseeds-livestock economy to capture the interaction of the predominantly cereal economies of the developing world and the livestock economies of the developed world as they compete for the world's agricultural resources. The mathematical model, called the Grain-Oilseeds-Livestock (GOL) model, incorporates general population and income growth rates, demand and supply price elasticities, input variables, and assumptions about basic underlying economic trends and policy constraints.

Suggested Citation

  • Rojko, Anthony S. & Schwartz, Martin W., 1976. "Modeling The World Grain-Oilseeds-Livestock Economy To Assess World Food Prospects," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 28(3), pages 1-10, July.
  • Handle: RePEc:ags:uersja:147713
    DOI: 10.22004/ag.econ.147713
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    Cited by:

    1. Fox, Austin S. & Quance, C. Leroy, 1977. "Agricultural Projections To 1985 For The Northeast And Comparisons With The United States," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 6(2), pages 1-13, October.
    2. Dorin, Bruno & Joly, Pierre-Benoît, 2020. "Modelling world agriculture as a learning machine? From mainstream models to Agribiom 1.0," Land Use Policy, Elsevier, vol. 96(C).
    3. Parikh, Kirit S., 1982. "Analysis of National and International Agricultural Policies for Sustainable Growth and Equity and Stability in an International Setting," 1982 Conference, August 24-September 2, 1982, Jakarta, Indonesia 182518, International Association of Agricultural Economists.
    4. Fox, Austin S. & Quance, C. Leroy, 1977. "Agricultural Projections To 1985 For The Northeast And Comparisons With The United States," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-13, October.

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