Resumen:
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.
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