Many authors have discussed the consequences of risk or uncertainty in farm planning caused by fluctuation in yield (moderate), deregulation of agricultural policies and wider price fluctuations caused by market volatility in energy market. The economists have developed a suite of contingency plans for the state-events affecting the farm planning and proposed solutions to minimise the effects od adverse risk events (Kaine et al, 1994). Larger yield and quality variability are risky prospects causing wider fluctuation in activity gross margins to be evaluated in farm decision making. This paper will develop this topic with reference to a virtual farm for the simulation of a stochastic production frontier representing a combination of farm enterprises at minimum risk using a linear version of the quadratic approach and separable utility function. The results demonstrate the usefulness of information generated by MOTAD to support farm decisions in a risky contest caused by yield and price fluctuations.

(2010), “The whole farm planning decisions in a growing uncertain contest”, III Workshop on Valuation Methods in Agro-food and Environmental Economics, "Decisions and choices under uncertainty in Agro-food and Natural Resources Economics", Barcelona, 1st - 2nd July, pp. pp 1-15

ROSA, Franco;DANUSO, Francesco;VASCIAVEO, Michela;ROCCA, Alvaro Enrique
2010-01-01

Abstract

Many authors have discussed the consequences of risk or uncertainty in farm planning caused by fluctuation in yield (moderate), deregulation of agricultural policies and wider price fluctuations caused by market volatility in energy market. The economists have developed a suite of contingency plans for the state-events affecting the farm planning and proposed solutions to minimise the effects od adverse risk events (Kaine et al, 1994). Larger yield and quality variability are risky prospects causing wider fluctuation in activity gross margins to be evaluated in farm decision making. This paper will develop this topic with reference to a virtual farm for the simulation of a stochastic production frontier representing a combination of farm enterprises at minimum risk using a linear version of the quadratic approach and separable utility function. The results demonstrate the usefulness of information generated by MOTAD to support farm decisions in a risky contest caused by yield and price fluctuations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/863645
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