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Abstract

Alternative wheat storage policies which maximise the expected present value of returns for consumers, producers, a monopoly storage agency and society as a whole are derived using a dynamic programming model. Results are compared with those from an earlier simulation model, and are found to justify higher investment in storage capacity compared with that suggested by the simulation model. The model is extended to derive optimal storage policies if production follows a stochastic cobweb process.

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