<?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>2007-2422</journal-id>
<journal-title><![CDATA[Tecnología y ciencias del agua]]></journal-title>
<abbrev-journal-title><![CDATA[Tecnol. cienc. agua]]></abbrev-journal-title>
<issn>2007-2422</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Tecnología del Agua, Coordinación de Comunicación, Participación e Información]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-24222016000400129</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Consumo de agua y producto interno bruto en la cuenca Lerma-Chapala]]></article-title>
<article-title xml:lang="en"><![CDATA[Water Use and Gross Domestic Product in the Lerma-Chapala Hydrographic Basin]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernández-Durán]]></surname>
<given-names><![CDATA[Juan José]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lloret]]></surname>
<given-names><![CDATA[Antonio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico Autónomo de México División Académica de Administración y Contaduría ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2016</year>
</pub-date>
<volume>7</volume>
<numero>4</numero>
<fpage>129</fpage>
<lpage>138</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-24222016000400129&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-24222016000400129&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-24222016000400129&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: El objetivo de este artículo es probar la hipótesis de la curva U invertida de Kuznets en la relación entre el consumo de agua per cápita para uso agrícola y ganadero, que representa en promedio 75% del consumo total, y el PIB per cápita para los municipios en la cuenca Lerma-Chapala. En el contexto de cambio climático, la relación entre consumo de agua y PIB es muy importante, pues la variabilidad en la disponibilidad del agua ha aumentado, forzando a los usuarios y gobiernos a considerar estrategias para su uso eficiente, en donde se incluyan los posibles impactos económicos y ambientales. Al llevar a cabo el análisis a nivel de una cuenca hidrográfica es necesario considerar los efectos espaciales entre municipios vecinos a través de la aplicación de modelos autorregresivos espaciales. Al incluir errores correlacionados espacialmente en los modelos de regresión, no se rechaza la hipótesis de la curva U invertida de Kuznets. Por tanto, cualquier estrategia de mitigación del cambio climático relacionada con el uso eficiente del agua debe ser evaluada en sus costos y beneficios en el PIB municipal en relación con la curva de Kuznets estimada en este artículo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The main objective of this article is to test the Kuznets inverted U-curve hypothesis in the relation between water consumption, for which agriculture and farming represent on average 75% of total consumption, and the GDP in municipalities located in the Lerma-Chapala hydrographic basin. Given the context of climate change, it is essential to understand the relationship between water consumption and GDP: the increased variability in the availability of water has forced governments and users to implement strategies for the efficient use of water resources, and thus they must consider not only likely environmental problems but also economic impact. Using data at the municipal level in a hydrographic basin, we consider the spatial effects among the different municipalities; these effects are modeled using spatial autoregressive models. The Kuznets inverted U-curve hypothesis is not rejected when allowing for spatially correlated errors. Thus, any strategy for mitigating climate change by making an efficient use of water resources must be evaluated in terms of its costs and benefits in the PIB of the municipality in relation to the fitted Kuznets curve presented in this article.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[agua]]></kwd>
<kwd lng="es"><![CDATA[cambio climático]]></kwd>
<kwd lng="es"><![CDATA[análisis espacial]]></kwd>
<kwd lng="es"><![CDATA[curva de Kuznets]]></kwd>
<kwd lng="en"><![CDATA[Water use]]></kwd>
<kwd lng="en"><![CDATA[climate change]]></kwd>
<kwd lng="en"><![CDATA[spatial analysis]]></kwd>
<kwd lng="en"><![CDATA[Kuznets's curve]]></kwd>
</kwd-group>
</article-meta>
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