Bioeconomic model and scenario simulator for the sustainable utilization of fisheries in Mexico

  • Miriam Del Valle Morales Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Estado de México https://orcid.org/
Keywords: bioeconomic model, dynamic optimization, fishery sustainability, overfishing, scenario simulation

Abstract

A bioeconomic model with dynamic optimization is presented to maximize the profits generated from the exploitation of marine species. As an essential condition, this article establishes and demonstrates a growth order relationship between price and cost, which is necessary for the model’s applicability. Additionally, it introduces the original design of a computational simulator (a Matlab® application) that allows for the planning of fishing bans and fishing efforts to achieve maximum profits in the long, medium, or short term. The simulator provides the corresponding values for any period, with discount rates adjustable according to user-defined conditions. Among its features, the simulator determines the minimum effort a fishery must have, as well as the minimum value that should be set for the residual biomass as a standard for species preservation. In this way, any fishery can assess whether it has the necessary effort units to implement the model or even analyze its economic viability during initial ban periods. For example, it could decide whether it is more convenient to wait until the start of harvesting or to temporarily invest in another project. In summary, the simulator enables fisheries to evaluate different scenarios and make optimal decisions regarding the application (or not) of the model according to their interests. To demonstrate its functionality, the application was used with real data from two Mexican species.

Published
2025-07-01
How to Cite
Del Valle Morales, M. (2025). Bioeconomic model and scenario simulator for the sustainable utilization of fisheries in Mexico. Revista De Economía, Facultad De Economía, Universidad Autónoma De Yucatán, 42(105). https://doi.org/10.33937/reveco.2025.470