<?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>1659-1321</journal-id>
<journal-title><![CDATA[Agronomía Mesoamericana]]></journal-title>
<abbrev-journal-title><![CDATA[Agron. Mesoam]]></abbrev-journal-title>
<issn>1659-1321</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1659-13212025000100036</article-id>
<article-id pub-id-type="doi">10.15517/ygtzeq03</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Analysis of irrigated and rainfed rice production in Mexico, 1980-2022]]></article-title>
<article-title xml:lang="es"><![CDATA[Análisis de la producción de arroz bajo riego y temporal en Mexico, 1980-2022]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guzmán-Soria]]></surname>
<given-names><![CDATA[Eugenio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rebollar-Rebollar]]></surname>
<given-names><![CDATA[Samuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Martínez]]></surname>
<given-names><![CDATA[Juvencio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Terrones Cordero]]></surname>
<given-names><![CDATA[Aníbal]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García-Salazar]]></surname>
<given-names><![CDATA[José Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Tecnológico Nacional de México Celaya-Campus II Department of Economic and Administrative Sciences]]></institution>
<addr-line><![CDATA[Celaya Guanajuato]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma del Estado de México University Center Temascaltepec ]]></institution>
<addr-line><![CDATA[ State of Mexico]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Autónoma del Estado de México Faculty of Economics University Center Texcoco]]></institution>
<addr-line><![CDATA[Texcoco State of Mexico]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Autónoma del Estado de Hidalgo Campus The Conception Institute of Economic and Administrative Sciences]]></institution>
<addr-line><![CDATA[San Agustin Tlaxiaca Hidalgo]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Colegio de Postgraduados Campus Montecillo Economics Program]]></institution>
<addr-line><![CDATA[Montecillo State of Mexico]]></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>36</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S1659-13212025000100036&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S1659-13212025000100036&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S1659-13212025000100036&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction.  From 2016 to 2022, both the planted area and rice production in Mexico registered decreasing growth rates, leading to an increase in rice imports to satisfy the excess demand. Objective. To econometrically analyze the factors affecting rice production in Mexico by technology type, distinguishing between irrigated and rainfed systems. Materials and methods. A dynamic simultaneous equation model was formulated, comprising two supply equations, three price transmission models and one identity; with annual data from 1980 to 2022 on rice production in Mexico (differentiated by technology type), as well as the prices of competitive products, tradable inputs and climatic variables that determine them. To estimate the model, the Two-Stage Least Squares (2SLS) method was used and its statistical congruence was determined by means of the global significance of each equation through the F-test, its level of autocorrelation via the Durbin-Watson statistic, the individual significance of each coefficient through the Student&#8217;s t-test, and the normality of the variables with the Shapiro-Wilk test. Results. The own-price elasticities of supply for irrigated and rainfed rice were 0.6995 and 0.3871, respectively. The prices of competitive goods, particularly corn (-0.9896 and -1.2284) and wheat (-0.5279 and -0.9529), had the greatest impact on both types of supply. Conclusion. The rice supply, both irrigated and rainfed, responds positively to changes in producer prices, water availability for irrigation, and the annual average rainfall recorded in the country. Conversely, it responds negatively to changes in producer prices of competitive goods such as beans, corn, wheat, lentils and chickpeas, as well as to change in inputs such as the price of pesticides and fertilizers.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción.  De 2016 a 2022, tanto la superficie sembrada como la producción de arroz en México registraron tasas de crecimiento decrecientes, lo que ocasionó un aumento de las importaciones de arroz para atender el exceso de demanda. Objetivo. Evaluar econométricamente los factores que afectan la producción de arroz en México por tipo de tecnología, diferenciada en riego y temporal. Materiales y métodos. Se formuló un modelo de ecuaciones simultáneas dinámicas, compuesto por dos ecuaciones de oferta, tres de transmisión de precios y una identidad; con datos anuales de 1980 a 2022 de la producción de arroz en México (diferenciada por tipo de tecnología), así como los precios de productos competitivos, insumos comerciables y variables climáticas que las determinan. Para la estimación del modelo se utilizó el método de mínimos cuadrados en dos etapas (MC2E) y su congruencia estadística se determinó por medio de la significancia global de cada ecuación a través de la prueba F, su nivel de auto correlación vía el estadístico Durbin Watson, la significancia individual de cada coeficiente a través de la t de Student y la normalidad de las variables con la prueba Shapiro-Wilk. Resultados. Las elasticidades precio-propias de la oferta de arroz en riego y temporal fueron de 0,6995 y 0,3871, respectivamente. Los precios de los bienes competitivos, particularmente el maíz (-0,9896 y -1,2284) y el trigo (-0,5279 y -0,9529), tuvieron el mayor impacto en ambos tipos de oferta. Conclusión. La oferta de arroz, tanto de riego como de secano, responde positivamente a los cambios en los precios al productor, la disponibilidad de agua para riego y la precipitación media anual registrada en el país y se observaron respuestas negativas a los cambios en los precios al productor de bienes competitivos como frijol, maíz, trigo, lenteja y garbanzo, y en insumos como el precio de plaguicidas y fertilizantes.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Elasticities of supply]]></kwd>
<kwd lng="en"><![CDATA[irrigation]]></kwd>
<kwd lng="en"><![CDATA[rainfed crops]]></kwd>
<kwd lng="en"><![CDATA[simulation]]></kwd>
<kwd lng="es"><![CDATA[elasticidades de la oferta]]></kwd>
<kwd lng="es"><![CDATA[riego]]></kwd>
<kwd lng="es"><![CDATA[cultivo de temporal]]></kwd>
<kwd lng="es"><![CDATA[simulación]]></kwd>
</kwd-group>
</article-meta>
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