<?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>1665-5346</journal-id>
<journal-title><![CDATA[Revista mexicana de economía y finanzas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. econ. finanz]]></abbrev-journal-title>
<issn>1665-5346</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Ejecutivos de Finanzas A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-53462020000400665</article-id>
<article-id pub-id-type="doi">10.21919/remef.v15i4.536</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Energy Efficiency of Mexican states: A Stochastic Production Frontier Approach]]></article-title>
<article-title xml:lang="es"><![CDATA[Eficiencia Energética por estados de México: Aplicación de un modelo de Frontera de Producción Estocástica]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ibarra-Armenta]]></surname>
<given-names><![CDATA[Cristina Isabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Becerra-Pérez]]></surname>
<given-names><![CDATA[Luis Armando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Millán-López]]></surname>
<given-names><![CDATA[Nora Teresa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Sinaloa  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>15</volume>
<numero>4</numero>
<fpage>665</fpage>
<lpage>683</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-53462020000400665&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-53462020000400665&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-53462020000400665&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Mexico&#8217;s goals of reducing carbon emissions and improving energy efficiency (EE) cannot be attained if EE indicators are not estimated. Nevertheless, given the lack of information at the state level, there do not yet exist EE indicators at the regional or state level. Using a stochastic production frontier model, this paper offers an estimation of EE for 29 states and identifies energy inefficiency determinants. The main findings are threefold: first, most states have improved their EE, except for Jalisco, Baja California and Veracruz. Second, three variables are identified as energy inefficiency drivers, namely, population density, market potential and high presence of materials industries. Third, electricity demand is not deterred through the price. The main limitation of this work is that due to data availability, the estimations only include electricity as the primary energy input.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Los objetivos de México de reducir las emisiones de dióxido de carbono y de mejorar la Eficiencia Energética (EE) no pueden lograrse si no se hacen estimaciones de EE. Sin embargo, dada la falta de datos por estado, no hay indicadores por regiones o estados. Utilizando un modelo de Frontera de Producción Estocástica este artículo ofrece una estimación de EE para 29 estados e identifica determinantes de ineficiencia energética. Las conclusiones principales son tres: primero, la mayoría de los estados han mejorado su EE, excepto Jalisco, Baja California y Veracruz; segundo, se identificaron tres variables como determinantes de ineficiencia energética que son: densidad de población, potencial de mercado y alta presencia de la industria de materiales; tercero, el consumo de energía no disminuye con aumentos en el precio. La principal limitación es que, dada la disponibilidad de información, las estimaciones sólo incluyen a la electricidad como fuente primaria de energía.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Energy Efficiency]]></kwd>
<kwd lng="en"><![CDATA[Climate change]]></kwd>
<kwd lng="en"><![CDATA[Mexico]]></kwd>
<kwd lng="en"><![CDATA[Stochastic Production Frontier]]></kwd>
<kwd lng="es"><![CDATA[Eficiencia Energética]]></kwd>
<kwd lng="es"><![CDATA[Cambio climático]]></kwd>
<kwd lng="es"><![CDATA[México]]></kwd>
<kwd lng="es"><![CDATA[Frontera de Producción Estocástica]]></kwd>
</kwd-group>
</article-meta>
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