<?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>2007-0934</journal-id>
<journal-title><![CDATA[Revista mexicana de ciencias agrícolas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Mex. Cienc. Agríc]]></abbrev-journal-title>
<issn>2007-0934</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-09342020000601325</article-id>
<article-id pub-id-type="doi">10.29312/remexca.v11i6.2194</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis estructural MicMac para determinar las variables estratégicas de la agroindustria azucarera en México]]></article-title>
<article-title xml:lang="en"><![CDATA[MicMac structural analysis to determine the strategic variables of the sugar agribusiness in Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Villegas Vilchis]]></surname>
<given-names><![CDATA[Antonio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Platas Rosado]]></surname>
<given-names><![CDATA[Diego]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gallardo-López]]></surname>
<given-names><![CDATA[Felipe]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[López-Romero]]></surname>
<given-names><![CDATA[Gustavo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados Campus Veracruz Programa de Posgrado en Agroecosistemas Tropicales]]></institution>
<addr-line><![CDATA[Manlio Fabio Altamirano Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2020</year>
</pub-date>
<volume>11</volume>
<numero>6</numero>
<fpage>1325</fpage>
<lpage>1335</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-09342020000601325&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-09342020000601325&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-09342020000601325&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El software de análisis estructural MicMac (Matrice d&#8217; Impacts Croisés Multiplication Appliqués à un Classement) multiplicación matricial aplicado a una clasificación, es una herramienta para organizar una reflexión colectiva. Ofrece la posibilidad de describir un sistema con ayuda de una matriz que relaciona todos sus elementos constitutivos, partiendo de esta descripción, este método tiene por objetivo, determinar las principales variables influyentes y dependientes. En este caso se usó para determinar las variables esenciales que van a definir el futuro de la agroindustria de la caña de azúcar en México. Este análisis se realizó en 2019 por un grupo de expertos con experiencia, alto nivel de conocimiento y toma de decisión de la agroindustria de la caña de azúcar, los cuales forman parte de la Comisión Nacional para el Desarrollo Sustentable de la Caña de Azúcar (CONADESUCA). Se identificaron cinco variables estratégicas de mayor motricidad e influencia y de mayor dependencia que van a definir el futuro de la agroindustria de la caña de azúcar en México: investigación, desarrollo, innovación y transferencia de tecnología (I+D+I+TT), diversificación, costos de producción, productividad y competitividad. Mediante a su orden lógico definen que mientras la agroindustria de la caña de azúcar en México obtenga o adopte y utilice tecnologías inteligentes (investigación, desarrollo, innovación y transferencia de tecnología), diversifique y oferte productos derivados de la caña de azúcar a precios competitivos, entonces podrá aumentar su productividad, bajar sus costos de producción y como consecuencia será más competitiva. En su defecto de no tomar estas recomendaciones la agroindustria de la caña de azúcar no será competitiva volviéndose cada vez más obsoleta y tenderá a desaparecer.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The matrix analysis software MicMac (Matrice d&#8217;Impacts Croisés Multiplication Appliqués à un Classement) matrix multiplication applied to a classification, is a tool to organize a collective reflection. It offers the possibility of describing a system with the help of a matrix that relates all its constituent elements, based on this description, this method aims to determine the main influential and dependent variables. In this case, it was used to determine the essential variables that will define the future of the sugarcane agribusiness in Mexico. This analysis was carried out in 2019 by a group of experts with experience, a high level of knowledge and decision-making from the sugar cane agribusiness, who are part of the National Commission for the Sustainable Development of Sugar Cane (CONADESUCA). Five strategic variables of greater mobility and influence and of greater dependence were identified that will define the future of the sugarcane agroindustry in Mexico: research, development, innovation and technology transfer (R+D+I+TT), diversification, production costs, productivity and competitiveness. By logical order, they define that as long as the sugarcane agribusiness in Mexico obtains or adopts and uses intelligent technologies (research plus development plus innovation plus technology transfer), diversify and offer products derived from sugarcane at competitive prices, then it will be able to increase your productivity, lower your production costs and as a consequence you will be more competitive. Failing to take these recommendations, the sugar cane agribusiness will not be competitive, becoming increasingly obsolete and will tend to disappear.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[CONADESUCA]]></kwd>
<kwd lng="es"><![CDATA[matriz relacional]]></kwd>
<kwd lng="es"><![CDATA[reflexión colectiva]]></kwd>
<kwd lng="en"><![CDATA[collective reflection]]></kwd>
<kwd lng="en"><![CDATA[CONADESUCA]]></kwd>
<kwd lng="en"><![CDATA[relational matrix]]></kwd>
</kwd-group>
</article-meta>
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