Condiciones Karush-Kuhn-Tucker aplicadas al mercado de la carne de bovino en México

Abstract

Objective. The distribution of the beef market in Mexico in 2020 was evaluated. Materials and methods. A nonlinear programming model was used, under Karush-Kuhn-Tucker optimization conditions. The national territory was divided into eight producer-consumer regions and two entry points for imports. Results. The model overestimated national and

regional production by 0.4%, equivalent to

10 229 t; an amount close to the value observed

in 2020; overestimated national and regional consumption by 0.8%, with a Net Social Value of 14 073 million pesos. The optimization deduced positive production and consumption,

a marketing margin higher than the transportation cost, and activated optimal distribution

routes. The fit between the observed and the

model was less than 0.004%. Conclusion.

The Karush-Kuhn-Tucker conditions are a li- near programming tool that allows identifying optimization problems that affect the efficiency of the markets.