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dc.contributor.author | Rebollar Rebollar, Samuel | |
dc.contributor.author | Hernández Martínez, Juvencio | |
dc.date.accessioned | 2024-01-26T20:44:07Z | |
dc.date.available | 2024-01-26T20:44:07Z | |
dc.date.issued | 2023-05-16 | |
dc.identifier.issn | 0188-7890 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11799/139776 | |
dc.description | Texto del artículo científico | es |
dc.description.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. | es |
dc.language.iso | spa | es |
dc.publisher | Avances en Investigación Agropecuaria | es |
dc.rights | openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0 | es |
dc.subject | Distribución óptima, programación no lineal, valor social neto. | es |
dc.subject.classification | CIENCIAS SOCIALES | es |
dc.title | Condiciones Karush-Kuhn-Tucker aplicadas al mercado de la carne de bovino en México | es |
dc.type | Artículo | es |
dc.provenance | Científica | es |
dc.road | Dorada | es |
dc.organismo | Centro Universitario UAEM Texcoco | es |
dc.ambito | Nacional | es |
dc.cve.CenCos | 30401 | es |
dc.relation.vol | 27 |