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

Gianfranco Giulioni (), Edmondo Di Giuseppe (), Piero Toscano (), Francesco Miglietta () and Massimiliano Pasqui ()
Additional contact information
Gianfranco Giulioni: http://erre.unich.it/giulioni
Edmondo Di Giuseppe: http://www.ibimet.cnr.it/staff/di-giuseppe-edmondo
Massimiliano Pasqui: http://www.fi.ibimet.cnr.it/staff/pasqui-massimiliano

Journal of Artificial Societies and Social Simulation, 2019, vol. 22, issue 3, 4

Abstract: 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.

Keywords: Wheat International Trade; Wheat Price-Quantity Modeling; Food Security; Wheat Price Volatility; Export Ban (search for similar items in EconPapers)
Date: 2019-06-30
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2018-74-3

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