<?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>0121-6805</journal-id>
<journal-title><![CDATA[Revista Facultad de Ciencias Económicas: Investigación y Reflexión]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.fac.cienc.econ.]]></abbrev-journal-title>
<issn>0121-6805</issn>
<publisher>
<publisher-name><![CDATA[Facultad de Ciencias Económicas Universidad Militar Nueva Granada]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0121-68052019000100043</article-id>
<article-id pub-id-type="doi">10.18359/rfce.3027</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Evaluación de la eficiencia de las empresas del sector carbón en Colombia]]></article-title>
<article-title xml:lang="en"><![CDATA[Efficiency Assessment of Colombian Companies operating within the Coal Sector]]></article-title>
<article-title xml:lang="pt"><![CDATA[Avaliação da Eficiência das Empresas que Operam no Setor de Carvão na Colômbia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fontalvo Herrera]]></surname>
<given-names><![CDATA[Tomás]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morelos Gómez]]></surname>
<given-names><![CDATA[José]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mendoza Mendoza]]></surname>
<given-names><![CDATA[Adel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Cartagena  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Cartagena  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad del Atlántico  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>27</volume>
<numero>1</numero>
<fpage>43</fpage>
<lpage>56</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0121-68052019000100043&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0121-68052019000100043&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0121-68052019000100043&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Este trabajo de investigación presenta un análisis de la eficiencia técnica de las empresas del sector carbón y sus derivados en Colombia, durante el periodo 2011-2014. Como fundamentación teórica se utilizaron los conceptos de análisis envolvente de datos (DEA), específicamente el modelo CCR-O, enfocado en salidas y en la técnica multivariada de análisis discriminante. Para el desarrollo de la investigación se realizó un estudio empírico racional, con un enfoque evaluativo, que permitió establecer una estructura DEA para valorar las eficiencias. Para esta investigación se trabajó con 14 grandes empresas del sector minero en Colombia; como fuente de información primaria se tomó la reportada por la Superintendencia de Sociedades en los respectivos años. Con base en la estructura DEA, se valoraron las eficiencias de las empresas y se establecieron aquellas que se constituyeron en referentes de evaluación de las empresas ineficientes; seguidamente, se calcularon las proyecciones de las variables de salida que permiten que las empresas ineficientes alcancen las eficiencias de acuerdo con el modelo CCR-O enfocado en salidas. Por último, se utilizó la técnica análisis discriminante, que permitió validar la pertenencia de una empresa del sector a ser eficiente o no. La eficiencia promedio de las empresas bajo el modelo DEA en el periodo de estudio alcanzó un nivel alto, de 84,5 % y la técnica análisis discriminante indicó una validación del 80,3 %. Este trabajo aporta criterios a los responsables de la toma de decisiones para mejorar la eficiencia en el sector.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This research paper assesses the technical efficiency of Colombian companies mining coal and its derivatives during the 2011-2014 period. This study is theoretically grounded on concepts from data envelopment analysis (DEA), specifically the CCR-O model, focused on outputs and on multiple discriminant analysis, which is a multivariate technique. As part of research development, a rational empirical study was conducted using an evaluative approach to establish a DEA structure aimed at assessing efficiencies. Fourteen large mining companies in Colombia participated in this study, employing information reported by the Superintendence of Mining Companies for the corresponding period as a primary source of data. Based on the DEA structure, company efficiencies were assessed, and benchmarks for the evaluation of inefficient companies were established. Next, output variables were estimated to allow inefficient companies to reach the corresponding efficiency levels according to the output-based CCR-O model. Finally, the discriminant analysis technique was deployed to validate whether companies operating within the sector are susceptible to becoming more efficient or not. Average company efficiency under the DEA model during the study period reached a high level of 84.5 %, and the discriminant analysis technique indicated a validation of 80.3 %. This work provides criteria for decision makers to improve efficiency within the sector.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo: Este artigo de pesquisa apresenta uma análise da eficiência técnica de empresas do setor de carvão e seus derivados na Colômbia no período de 2011 a 2014. Como fundamentação teórica, foram utilizados os conceitos de análise por envoltória de dados (DEA), especificamente o modelo CCR-O, com foco em saídas e na técnica de análise discriminante multivariada. Para o desenvolvimento da pesquisa, foi realizado um estudo empírico racional, com abordagem avaliativa, que permitiu estabelecer uma estrutura de DEA para valorar as eficiências. Para este estudo, foram utilizadas catorze grandes empresas do setor de mineração da Colômbia; como fonte primária de informação, foi considerada a que foi reportada pela Superintendencia de Sociedades nos respectivos períodos. Com base na estrutura da DEA, a eficiência das empresas foi avaliada e foram estabelecidas marcas de referência para a avaliação de empresas ineficientes; em seguida, foram calculadas as projeções das variáveis de saída que permitem que empresas ineficientes alcancem níveis de eficiência de acordo com o modelo CCR-O com foco em saídas. Por fim, foi utilizada a técnica de análise discriminante, que permitiu validar que empresa pertinentes do setor são suscetíveis a se tornarem eficientes ou não. A eficiência média das empresas sob o modelo DEA durante o período do estudo atingiu um alto nível de 84,5% e a técnica de análise discriminante indicou uma validação de 80,3%. Este trabalho fornece critérios para que os tomadores de decisão melhorem a eficiência no setor.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[carbón]]></kwd>
<kwd lng="es"><![CDATA[eficiencia]]></kwd>
<kwd lng="es"><![CDATA[análisis envolvente de datos]]></kwd>
<kwd lng="en"><![CDATA[coal]]></kwd>
<kwd lng="en"><![CDATA[efficiency]]></kwd>
<kwd lng="en"><![CDATA[data envelopment analysis]]></kwd>
<kwd lng="pt"><![CDATA[carvão]]></kwd>
<kwd lng="pt"><![CDATA[eficiência]]></kwd>
<kwd lng="pt"><![CDATA[análise por envoltória de dados]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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