<?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>S2395-87152023000200092</article-id>
<article-id pub-id-type="doi">10.33937/reveco.2023.356</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Impacto económico en los estados de la frontera norte de México debido a una reducción en tiempos de espera en puertos de cruce internacional: el caso de vehículos de carga comercial]]></article-title>
<article-title xml:lang="en"><![CDATA[Economic impact in the states of the northern border of Mexico due to a reduction in waiting times at international crossing ports: the case of commercial cargo vehicles]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gaytán Alfaro]]></surname>
<given-names><![CDATA[Edgar David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fuentes Flores]]></surname>
<given-names><![CDATA[Noé Arón]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,El Colegio de la Frontera Norte  ]]></institution>
<addr-line><![CDATA[Tijuana Baja California]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,El Colegio de la Frontera Norte  ]]></institution>
<addr-line><![CDATA[Tijuana Baja California]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>40</volume>
<numero>101</numero>
<fpage>92</fpage>
<lpage>116</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2395-87152023000200092&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2395-87152023000200092&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2395-87152023000200092&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En este trabajo se combinan un modelo de línea de espera y un modelo insumo producto. El objetivo es evaluar el impacto económico en cada entidad fronteriza mexicana del norte debido a un impulso de una reducción de 10 minutos del tiempo de espera en el sistema aduanal para el transporte de carga. Lo anterior debido a que el congestionamiento vial de vehículos comerciales con mercancías de exportación en los puertos de cruces fronterizos es un problema crítico para la competitividad e integración económica de México y Estados Unidos. Los resultados muestran que la Producción Bruta Total aumenta 1.6% en Baja California, 1.2% en Sonora, 1.5% en Chihuahua, 1.1% en Coahuila, 0.7% en Nuevo León y 1.8% en Tamaulipas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This paper combines a Queues and Waiting in Line Model and an Input-Output Model. The objective is to evaluate the economic impact on each northern Mexican border entity due to a 10-minute reduction in the waiting time for cargo transportation in the customs system. This is due to the fact that traffic congestion of commercial vehicles with export goods at border crossing ports is a critical problem for the competitiveness and economic integration of Mexico and the United States. The results show that Total Gross Production increases in Baja California by 1.6%, Sonora by 1.2%, Chihuahua by 1.5%, Coahuila by 1.1%, Nuevo Leon by 0.7%, and Tamaulipas by 1.8%.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[modelo insumo producto]]></kwd>
<kwd lng="es"><![CDATA[modelo de línea de espera]]></kwd>
<kwd lng="es"><![CDATA[predicción y simulación en comercio]]></kwd>
<kwd lng="en"><![CDATA[input output model]]></kwd>
<kwd lng="en"><![CDATA[queues and waiting lines model]]></kwd>
<kwd lng="en"><![CDATA[international trade]]></kwd>
<kwd lng="en"><![CDATA[C67]]></kwd>
<kwd lng="en"><![CDATA[C99]]></kwd>
<kwd lng="en"><![CDATA[F17]]></kwd>
</kwd-group>
</article-meta>
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