<?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>0379-3982</journal-id>
<journal-title><![CDATA[Revista Tecnología en Marcha]]></journal-title>
<abbrev-journal-title><![CDATA[Tecnología en Marcha]]></abbrev-journal-title>
<issn>0379-3982</issn>
<publisher>
<publisher-name><![CDATA[Instituto Tecnológico de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0379-39822024000400061</article-id>
<article-id pub-id-type="doi">10.18845/tm.v37i4.6901</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Factores críticos para la adopción de tecnologías en café: evidencia de la Región Brunca de Costa Rica]]></article-title>
<article-title xml:lang=""><![CDATA[Critical factors for technology adoption in coffee: evidence from the Brunca Region of Costa Rica]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez-Castillo]]></surname>
<given-names><![CDATA[David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cubero-Zamora]]></surname>
<given-names><![CDATA[Anthony]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barrantes-Aguilar]]></surname>
<given-names><![CDATA[Luz E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Villalobos-Ramos]]></surname>
<given-names><![CDATA[Vanessa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Práctica privada  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de Costa Rica.  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>37</volume>
<numero>4</numero>
<fpage>61</fpage>
<lpage>73</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S0379-39822024000400061&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S0379-39822024000400061&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S0379-39822024000400061&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La adopción de tecnologías agrícolas se promueve como alternativa para aumentar la productividad de los sistemas agroalimentarios, mejorar la seguridad alimentaria, mejorar los ingresos de las personas productoras y adaptar los sistemas productivos a los desafíos del cambio climático. A pesar de todos estos esfuerzos la adopción de tecnología es baja en algunas regiones. Esta investigación se enfocó en la identificación de los factores críticos que inciden en la adopción de tecnología en personas productoras de café en la Región Brunca de Costa Rica. Utilizando el índice de adopción de tecnologías para la región, se generaron clústeres que fueron utilizados como variable dependiente para el desarrollo de un modelo probit ordenado. La recopilación de información de campo se realizó mediante visitas durante el mes de agosto de 2021 para un total de 192 fincas caficultoras. Los resultados muestran que las variables determinantes en la adopción de tecnología son la edad, la ubicación geográfica, el nivel de producción anual promedio en fanegas por hectárea, la educación, los años de producir café y las variedades utilizadas (Sarchimor y Obata).]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The adoption of agricultural technologies is promoted as an alternative to increase the productivity of agrifood systems, improve food security, improve the income of producers, and adapt production systems to the challenges of climate change. Despite all these efforts, technology adoption is low in some regions. This research focused on identifying the critical factors influencing technology adoption in coffee producers in the Brunca Region of Costa Rica. Using the technology adoption index for the region, clusters were generated and used as independent variables for the development of an ordered probit model. Field data collection was carried out through visits during August 2021 for a total of 192 coffee farms. The results show that the determining variables in the adoption of technology are age, geographic location, average annual production level in bushels per hectare, education, years of coffee production, and the varieties used (Sarchimor and Obata)]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Econometría]]></kwd>
<kwd lng="es"><![CDATA[producción agrícola]]></kwd>
<kwd lng="es"><![CDATA[política agraria]]></kwd>
<kwd lng="es"><![CDATA[investigación agrícola]]></kwd>
<kwd lng="es"><![CDATA[tecnología adecuada]]></kwd>
<kwd lng="es"><![CDATA[transferencia de tecnología]]></kwd>
<kwd lng="en"><![CDATA[Econometrics]]></kwd>
<kwd lng="en"><![CDATA[agricultural production]]></kwd>
<kwd lng="en"><![CDATA[agricultural policy]]></kwd>
<kwd lng="en"><![CDATA[agricultural research]]></kwd>
<kwd lng="en"><![CDATA[appropriate technology]]></kwd>
<kwd lng="en"><![CDATA[technology transfer]]></kwd>
</kwd-group>
</article-meta>
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