Article ID: | iaor2000873 |
Country: | United States |
Volume: | 31 |
Issue: | 2 |
Start Page Number: | 157 |
End Page Number: | 164 |
Publication Date: | Jan 1999 |
Journal: | Small Ruminant Research |
Authors: | Salinas H., Ramirez R.G., Rumayor-Rodriguez A. |
Keywords: | programming: linear |
In north-central Mexico, the production of goat meat is associated with summer cultivation crops for family consumption. The objective of this study was to construct a simulation model for the economic analysis of this goat-agricultural system. Linear programming was used to optimize system net income. Several scenarios were generated varying the price scenario (1992 and 1995) and the use of technology (traditional and recommended). The approach visualized the system general response and the impact of a subsidizing program. The model was limited to a maximum cultivation area of 64 ha and a maximum herd of 200 does. The model proved that recommended technology in 1992 increased the net income of the system, but it did not in 1995. In both cases, it was necessary to buy maize stubble to supply the requirements of dry matter animal intake. Traditional technology was more versatile to goat meat and maize stubble's price changes. The model selected a cultivated area of 64 ha for the 1992 price scenario as well as for 1995 when subsidies were included. However, as subsidies were removed in 1995 the model output was only 8 ha. When the surface of tainted crops was 16 ha or more, the use of technology helped to increase the net income. Thus, subsidy policy induced an expansion of the agricultural cultivated area in the system. On the other hand, the largest incomes for all the modeled scenarios were noted when the herd size was maintained at 100 does. The scenarios presented express the rationality in the process of decision making by farm owners. For instance, they prefer grain crops instead of forage cultivation due to the subsidy policy: they do not use recommended technology since it is not rewarded economically: and they embrace the traditional system because it is more flexible to price changes.