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- Title
Condiciones Karush-Kuhn-Tucker aplicadas al mercado de la carne de bovino en México.
- Authors
Rebollar-Rebollar, Samuel; Hernández-Martínez, Juvencio
- 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 linear programming tool that allows identifying optimization problems that affect the efficiency of the markets.
- Subjects
MEXICO; BEEF; BEEF cattle; BEEF industry; BEEF marketing; MARKETING margin; MEAT sales &; prices; NONLINEAR programming
- Publication
Avances en Investigación Agropecuaria, 2023, Vol 27, p65
- ISSN
0188-7890
- Publication type
Article
- DOI
10.53897/RevAIA.23.27.06