LOGISTIC REGRESSION ANALYSIS TO PREDICT FOOD INSECURITY IN THE MILPA PRODUCTION SYSTEM OF VALLE DEL MEZQUITAL, HIDALGO

Authors

  • Gerardo Falcón-Lucario
  • Leydi Diana Morales Díaz
  • Rodolfo Rogelio Posadas-Domínguez

Abstract

This research determines food insecurity in the milpa production system using a logistic regression
statistical model at the municipal level in localities of the Mexquital Valley. It was found that the
variables associated with the age of the producer, the number of hectares planted with rainfed crops,
the migration of a member of the family and the consumption of pulque intensify food insecurity. If the
age of the producer increases by one year, the food insecurity of the farms increases 1.2 times. The
results of the regression model indicate that if producers maintain the strategy of intercropping maize
production with other crops and make the selection of seed for planting, food insecurity could
decrease by approximately 98%

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Published

28-03-2022

How to Cite

Falcón-Lucario, Gerardo, Leydi Diana Morales Díaz, and Rodolfo Rogelio Posadas-Domínguez. 2022. “LOGISTIC REGRESSION ANALYSIS TO PREDICT FOOD INSECURITY IN THE MILPA PRODUCTION SYSTEM OF VALLE DEL MEZQUITAL, HIDALGO”. Revista Inclusiones, March, 172-95. https://www.revistainclusiones.org/index.php/inclu/article/view/3284.

Issue

Vol. 9 Num 2 Especial Abril-Junio 2022 Políticas Públicas en México: Situación actual y perspectivas

Section

Artículos

License

Copyright (c) 2022 Drdo. Gerardo Falcón-Lucario, Dra. Leydi Diana Morales Díaz , Dr. Rodolfo Rogelio Posadas-Domínguez

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant Revista Inclusiones the right of publication under Creative Commons Attribution 4.0 International (CC BY 4.0). This allows use, distribution, and reproduction in any medium, provided proper attribution is given to the author.