<?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>0120-3584</journal-id>
<journal-title><![CDATA[Desarrollo y Sociedad]]></journal-title>
<abbrev-journal-title><![CDATA[Desarro. soc.]]></abbrev-journal-title>
<issn>0120-3584</issn>
<publisher>
<publisher-name><![CDATA[Universidad de los Andes]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-35842022000100007</article-id>
<article-id pub-id-type="doi">10.13043/dys.90.6</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Diversidad productiva, sectores difusores de progreso técnico y desempeño regional en Argentina entre 2008 y 2018]]></article-title>
<article-title xml:lang="en"><![CDATA[Productive diversity, technology spillover sectors, and regional performance in Argentina between 2008 and 2018]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mancini]]></surname>
<given-names><![CDATA[Matías]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jelinski]]></surname>
<given-names><![CDATA[Federico]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lavarello]]></surname>
<given-names><![CDATA[Pablo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de La Plata  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Centro de Estudios Urbanos y Regionales  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Centro de Estudios Urbano Regional  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Argentina</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2022</year>
</pub-date>
<numero>90</numero>
<fpage>207</fpage>
<lpage>263</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-35842022000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-35842022000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-35842022000100007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este artículo estudia empíricamente la incidencia de la diversificación productiva sobre el desempeño económico regional en Argentina entre los años 2008 y 2018. Asumiendo que los derrames (spillovers)de conocimiento tecnológico entre actividades requieren cercanía en la base de conocimientos, se distingue entre la diversificación productiva relacionada (DR) y la no relacionada (DnR), las cuales se estiman con indicadores de entropía. Se realizan estimaciones econométricas para explicar la dinámica del empleo y los salarios (como variable proxy de productividad) a partir de los niveles de diversi­ficación regional. Los resultados sugieren que la DR incide positivamente en el empleo y los salarios a escala regional, mientras que la DnR contribuye a mantener el empleo frente a contracciones macroeconómicas. No se encuentra evidencia para sostener que las tecnologías transversales (metalmecánica y TIC) contribuyan a potenciar los efectos de la DR sobre el desempeño regional, aunque el software sí favorecería la presencia de externalidades entre actividades tecnológicamente distantes. Clasificación JEL: R11, O18, C31.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This paper empirically analyzes the incidence of productive diversification on regional performance in Argentina between 2008 and 2018. Assuming that spillovers between productive activities requires proximity in the knowledge base, a distinction is made between related and unrelated productive diversification, which are estimated using entropy indicators. Econometric estimations are performed to explain the dynamics of employment and wages (as proxy for productivity) by the levels of related and unrelated regional diversification. Findings suggest that related diversification has a positive impact on employment and wage dynamics at the regional level, while unrelated diversification contributes to maintaining regional employment during macroeconomic contractions. No empirical evidence is found supporting that general purpose technology (such as mechanical engineering and ICTs) enhances the effects of related diversification on regional performance. It is observed, however, that the software sector enables the presence of externalities between technologically distant activities. JEL Classification: R11, O18, C31.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[diversidad relacionada]]></kwd>
<kwd lng="es"><![CDATA[diversidad no relacionada]]></kwd>
<kwd lng="es"><![CDATA[empleo y productividad regional]]></kwd>
<kwd lng="es"><![CDATA[entropía]]></kwd>
<kwd lng="es"><![CDATA[derrames de conocimiento tecnológico]]></kwd>
<kwd lng="es"><![CDATA[Argentina]]></kwd>
<kwd lng="en"><![CDATA[Related variety]]></kwd>
<kwd lng="en"><![CDATA[unrelated variety]]></kwd>
<kwd lng="en"><![CDATA[regional employment and productivity]]></kwd>
<kwd lng="en"><![CDATA[entropy]]></kwd>
<kwd lng="en"><![CDATA[technology spillovers]]></kwd>
<kwd lng="en"><![CDATA[Argentina]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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