Abstract
The analysis of production response of grains in the Pergamino area was subject to analysis in a dynamic setting by use of a recursive linear programing model. The model is based on the recursive model developed by Richard Day [14]. The basic property of this model is that the production of crops in year t is dependent on the production of crops in year t-1. The hectareages of any of the crops in year t have to be either larger than or smaller than a lower or an upper limit generated as a proportion of hectareages of year t-1. The solution of the model involves the determination of the time path of the crops in a ten year period. The time path of the crops is dependent on the net returns of the crop. In this recursive linear programming model, net returns of the crops change as price changes or as the yield per unit of the crops changes. The changes in yield and its effect on the time path of the crops are analyzed in the context of technology changes over time. The changes in price are analyzed in the context of supply analysis. The main results of this dissertation can be summarized as follows, changes in price and technology do not affect production to a great degree until a number of time periods have passed. The reaction to either price changes or technology changes is slower over tine for corn than for all the other crops. On the contrary, wheat reacts more rapidly than the corn enterprise to these same changes in prices and technology. The sunflower and grain sorghum crops reacted in the same way as wheat. ...
Barreyro, Hector Ramon (1971). An analysis of the supply of grains in the Pergamino region of Argentina: a "dynamic" approach. Texas A&M University. Texas A&M University. Libraries. Available electronically from
https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -213404.