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

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.


Issue Date:
2015
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/212474
Total Pages:
22
JEL Codes:
C18; Q12; Q14




 Record created 2017-04-01, last modified 2017-08-28

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