Identification of the sugar mills with the highest relative technical efficiency in Mexico
DOI:
https://doi.org/10.29312/remexca.v16i3.3611Keywords:
agricultural policy, data envelopment analysis, linear programming, slacks, super-efficiency modelAbstract
In 2021, Mexico ranked sixth worldwide in sugarcane production with 2.9% and internally, this grass is grown in 16 states. In the 2021-2022 harvest, the sugarcane agribusiness employed 182 512 producers and in 2022, it generated 5% of the value of agricultural production. The work aimed to estimate the relative efficiency under constant and variable returns to scale of the 47 sugar mills that operated during the 2021-2022 harvest in the 16 states where sugarcane is produced in order to identify the most efficient mills in the sugarcane agribusiness. The methodology used was the super-efficiency slack-based model of input-oriented data envelopment analysis. In the results, 29 mills were identified as the most efficient. The five best performing mills were Zapoapita, San Cristóbal, Tres Valles, Benito Juárez, and Calipam and the three with the lowest performance were San Miguelito (0.937), Bellavista (0.919) and Constancia (0.905). It was concluded that the method used made it possible to identify the most efficient decision-making units and to support the design of programs that promote the best productive practices and management of those units with lower performance.
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