<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2395-8715</journal-id>
<journal-title><![CDATA[Revista de economía]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. econ.]]></abbrev-journal-title>
<issn>2395-8715</issn>
<publisher>
<publisher-name><![CDATA[Facultad de Economía, Universidad Autónoma de Yucatán]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2395-87152025000200093</article-id>
<article-id pub-id-type="doi">10.33937/reveco.2025.470</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelo bioeconómico y simulador de escenarios para el aprovechamiento sostenible de pesquerías en México]]></article-title>
<article-title xml:lang="en"><![CDATA[Bioeconomic model and scenario simulator for the sustainable utilization of fisheries in Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Valle Morales]]></surname>
<given-names><![CDATA[Miriam Del]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico y de Estudios Superiores de Monterrey  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>42</volume>
<numero>105</numero>
<fpage>93</fpage>
<lpage>123</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2395-87152025000200093&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2395-87152025000200093&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2395-87152025000200093&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Se presenta un modelo bioeconómico con optimización dinámica para maximizar las ganancias generadas por el aprovechamiento de especies marinas. Como condición esencial, se establece y demuestra en este artículo una relación de orden de crecimiento entre el precio y el costo necesaria para la aplicabilidad del modelo. Además, se introduce el diseño original de un simulador computacional (una aplicación de Matlab®) que permite planificar vedas y esfuerzos pesqueros para obtener ganancias máximas corto, mediano y largo plazo. El simulador proporciona los valores correspondientes en cualquier período, con tasas de descuento ajustables según las condiciones del usuario. Entre sus funcionalidades, el simulador determina el mínimo esfuerzo con el que debe contar una pesquería, así como el valor mínimo que se debe fijar para la biomasa residual como estándar de preservación de la especie. De este modo, cualquier pesquería puede analizar, si dispone de las unidades de esfuerzo necesarias para implementar el modelo, y evaluar su viabilidad económica durante períodos de veda inicial. Por ejemplo, podría decidir si es más conveniente esperar hasta el inicio de la captura o invertir en otro proyecto temporalmente. En síntesis, el simulador permite a las pesquerías evaluar distintos escenarios y tomar decisiones óptimas sobre la aplicación (o no) del modelo según sus intereses. Con el fin de mostrar su funcionamiento, se empleó la aplicación con datos reales de dos especies mexicanas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[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&#8217;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.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[modelo bioeconómico]]></kwd>
<kwd lng="es"><![CDATA[optimización dinámica]]></kwd>
<kwd lng="es"><![CDATA[simulación de escenarios]]></kwd>
<kwd lng="es"><![CDATA[sobrepesca]]></kwd>
<kwd lng="es"><![CDATA[sostenibilidad]]></kwd>
<kwd lng="en"><![CDATA[bioeconomic model]]></kwd>
<kwd lng="en"><![CDATA[dynamic optimization]]></kwd>
<kwd lng="en"><![CDATA[fishery sustainability]]></kwd>
<kwd lng="en"><![CDATA[overfishing]]></kwd>
<kwd lng="en"><![CDATA[scenario simulation]]></kwd>
</kwd-group>
</article-meta>
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