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Dynamic risk assessment model to the corn production system in Mato Grosso, Brasil


  • Moraes, Marcelo
  • Chen, Rafael
  • Carauta, Katiucia
  • Yonenaga, William


The agricultural sector suffers the influence of various risk factors. Although there is no profit without risk, it is very important to know the risks faced and devise strategies to minimize them. In this sense, this paper proposes a new approach for risk assessment, adapting the system dynamic methodology to the study of risk in agricultural systems. From this new approach, it was possible to identify new risk factors for the maize production system in Mato Grosso, Brazil. Several simulations were carried out, in order to detect the impact of each identified variable in the profitability of the system. The most important factors influencing profitability were those that directly affect the revenues of the system, such as the exchange rate, sale price, and yield.

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  • Moraes, Marcelo & Chen, Rafael & Carauta, Katiucia & Yonenaga, William, 2015. "Dynamic risk assessment model to the corn production system in Mato Grosso, Brasil," 2015 Conference, August 9-14, 2015, Milan, Italy 212474, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:212474

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    References listed on IDEAS

    1. Barry K. Goodwin & Randy Schnepf, 2000. "Determinants of endogenous price risk in corn and wheat futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(8), pages 753-774, September.
    2. Parsons, David & Nicholson, Charles F. & Blake, Robert W. & Ketterings, Quirine M. & Ramírez-Aviles, Luis & Fox, Danny G. & Tedeschi, Luis O. & Cherney, Jerome H., 2011. "Development and evaluation of an integrated simulation model for assessing smallholder crop-livestock production in Yucatán, Mexico," Agricultural Systems, Elsevier, vol. 104(1), pages 1-12, January.
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    Agricultural Finance; Crop Production/Industries; Farm Management;

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