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A Novel Computational Model of the Wheat Global Market with an Application to the 2010 Russian Federation Case

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In this paper, we build a computational model for the analysis of international wheat spot price formation, its dynamics and the dynamics of quantities traded internationally. The model has been calibrated using FAOSTAT data to evaluate its in-sample predictive power. The model is able to generate wheat prices in twelve international markets and traded wheat quantities in twenty-four world regions. The time span considered is from 1992 to 2013. In our study, particular attention was paid to the impact of the Russian Federation's 2010 grain export ban on wheat price and quantities traded internationally. Among other results, we found that the average weighted world wheat price in 2013 would have been 3.55% lower than the observed one if the Russian Federation had not imposed the export ban in 2010.

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  • Gianfranco Giulioni & Edmondo Di Giuseppe & Piero Toscano & Francesco Miglietta & Massimiliano Pasqui, 2019. "A Novel Computational Model of the Wheat Global Market with an Application to the 2010 Russian Federation Case," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(3), pages 1-4.
    • Handle: RePEc:jas:jasssj:2018-74-3
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    1. Gabriele Dono & Raffaele Cortignani & Luca Doro & Luca Giraldo & Luigi Ledda & Massimiliano Pasqui & Pier Roggero, 2013. "An Integrated Assessment of the Impacts of Changing Climate Variability on Agricultural Productivity and Profitability in an Irrigated Mediterranean Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3607-3622, August.
    2. Dono, Gabriele & Cortignani, Raffaele & Dell'Unto, Davide & Deligios, Paola & Doro, Luca & Lacetera, Nicola & Mula, Laura & Pasqui, Massimiliano & Quaresima, Sara & Vitali, Andrea & Roggero, Pier Paol, 2016. "Winners and losers from climate change in agriculture: Insights from a case study in the Mediterranean basin," Agricultural Systems, Elsevier, vol. 147(C), pages 65-75.
    3. Adjemian, Michael K. & Garcia, Philip & Irwin, Scott & Smith, Aaron, 2013. "Non-Convergence in Domestic Commodity Futures Markets: Causes, Consequences, and Remedies," Economic Information Bulletin 155381, United States Department of Agriculture, Economic Research Service.
    4. Matteo Barigozzi & Giorgio Fagiolo & Diego Garlaschelli, 2009. "The Multi-Network of International Trade: A Commodity-Specific Analysis," LEM Papers Series 2009/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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