<?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>2730-5066</journal-id>
<journal-title><![CDATA[Agrociencia Uruguay]]></journal-title>
<abbrev-journal-title><![CDATA[Agrocienc. Urug.]]></abbrev-journal-title>
<issn>2730-5066</issn>
<publisher>
<publisher-name><![CDATA[Facultad de Agronomía - Instituto de Nacional de Investigación Agropecuaria]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2730-50662024000101303</article-id>
<article-id pub-id-type="doi">10.31285/agro.28.1237</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Technical efficiency in beef cattle farming in Uruguay: Insights from census data]]></article-title>
<article-title xml:lang="es"><![CDATA[Eficiencia técnica en la ganadería de carne bovina en Uruguay: Un estudio a partir de datos censales]]></article-title>
<article-title xml:lang="pt"><![CDATA[Eficiência técnica na pecuária de carne bovina no Uruguai: um estudo a partir de dados censitários]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguirre]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García Suárez]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sicilia]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de la República Facultad de Ciencias Sociales ]]></institution>
<addr-line><![CDATA[ Montevideo]]></addr-line>
<country>Uruguay</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de la República Facultad de Agronomía ]]></institution>
<addr-line><![CDATA[ Montevideo]]></addr-line>
<country>Uruguay</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de la Laguna Departamento de Economía, Contabilidad y Finanzas ]]></institution>
<addr-line><![CDATA[ Tenerife]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<volume>28</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_arttext&amp;pid=S2730-50662024000101303&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_abstract&amp;pid=S2730-50662024000101303&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.edu.uy/scielo.php?script=sci_pdf&amp;pid=S2730-50662024000101303&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Livestock farming is the agricultural activity with the greatest individual land-use, but it faces competition from other sectors for land, and is criticized for its environmental footprint. In this global context, Uruguay emerges as an important case study, boasting a long tradition and significance in the beef export sector. Enhancing livestock productivity is imperative to mitigate environmental impacts, and bolster farm competitiveness and food production. This study delves into the technical efficiency of cattle ranches focused on cow-calf production in Uruguay during the 2011 agricultural year, with nationwide and mandatory data coverage. Using data from the 2011 General Agriculture Census we estimate a translog stochastic production frontier model encompassing key inputs (livestock units, grazing area, and labor), along with control variables such as soil suitability and infrastructure improvements. Our findings underscore the potential to augment Uruguay's beef production by an average of 26.4%, harnessing existing resources and technology while improving ranch management. Moreover, variables like the extent of reliance on livestock farming as the primary source of income of the ranch, the use of outsourced services, foreign cattle ownership ratios, and agronomic and veterinary consultation exert noteworthy significant impacts on TE.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: La ganadería es la actividad agropecuaria con mayor uso individual del suelo, pero se enfrenta a la competencia de otros rubros por la tierra y se la critica por su huella ambiental. En este contexto global, Uruguay representa un importante caso de estudio debido a su fuerte tradición y presencia en el mercado de exportación de carne bovina. Aumentar la productividad de la producción ganadera es necesario para mitigar los efectos ambientales, impulsar la competitividad y rentabilidad de las firmas, y mejorar la producción de alimentos. Este artículo investiga la eficiencia técnica de los establecimientos ganaderos con ganado de cría (predios con ganado de cría) en Uruguay en el año agrícola 2011, con datos de cobertura nacional y obligatoria. Utilizando datos del Censo General Agropecuario de 2011 se estimó una frontera estocástica de producción translog con tres insumos (unidades de ganado, área de pastoreo y trabajadores), y variables de control como la aptitud del suelo para pastoreo, la orientación tecnológica, instalaciones y asesoramiento tecnológico agronómico y veterinario. Las estimaciones sugieren que es factible aumentar la producción de carne vacuna en un 26,4% en promedio en Uruguay con los mismos insumos y tecnología, mejorando la gestión de los establecimientos. Además, se encuentran efectos significativos sobre el nivel de eficiencia técnica de variables como ingresos principales provenientes del establecimiento, servicios contratados por terceros, proporción de ganado ajeno dentro del establecimiento y la disponibilidad de asesoramiento tecnológico agronómico y veterinario.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo: A pecuária de corte é a atividade agropecuária com maior utilização do solo, mas enfrenta a concorrência de outros sectores pela terra e é criticada pela sua pegada ambiental. Neste contexto global, o Uruguai apresenta um estudo de caso chave, devido à sua forte tradição e sua importância no mercado de exportação de carne bovina. Aumentar a produtividade do gado é vital para mitigar os efeitos ambientais, impulsionar a competitividade e rentabilidade das empresas e melhorar a produção de alimentos. Este artigo analisa a eficiência técnica dos ranchos de gado focando no gado de cria no Uruguai no ano agrícola de 2011. Utilizando dados do Censo Geral de Agricultura de 2011 uma fronteira estocástica de produção translog é estimada com 3 insumos (unidades de gado, área de pastagem e trabalhadores) e variáveis de controle como a adequação do solo para pastagem, melhorias, orientação do gado e do gado bovino, e instalações. Os resultados deste estudo baseado no Uruguai concluem que é viável aumentar a produção de carne bovina em 26.4% em média em todo o país com os mesmos insumos e tecnologia, melhorando a gestão dos estabelecimentos. Além disso, são encontrados efeitos significativos de variáveis como a principal fonte de renda vinda da fazenda, serviços contratados por terceiros, proporção de gado de propriedade estrangeira e aconselhamento tecnológico agronômico e veterinário.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[stochastic frontiers]]></kwd>
<kwd lng="en"><![CDATA[production function]]></kwd>
<kwd lng="es"><![CDATA[fronteras estocásticas]]></kwd>
<kwd lng="es"><![CDATA[función de producción]]></kwd>
<kwd lng="pt"><![CDATA[fronteiras estocásticas]]></kwd>
<kwd lng="pt"><![CDATA[função de produção]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nin]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Freiría]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Muñoz]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Productivity and efficiency in grassland-based livestock production in Latin America: the cases of Uruguay and Paraguay]]></source>
<year>2019</year>
<publisher-loc><![CDATA[Washington ]]></publisher-loc>
<publisher-name><![CDATA[IDB]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Steinfeld]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<source><![CDATA[Livestock&#8217;s long shadow: environmental issues and options]]></source>
<year>2006</year>
<publisher-loc><![CDATA[Rome ]]></publisher-loc>
<publisher-name><![CDATA[FAO]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<label>3.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nin]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ehui]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Benin]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Chapter 47 livestock productivity in developing countries: an assessment]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Evenson]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Pingali]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<source><![CDATA[Handbook of agricultural economics]]></source>
<year>2007</year>
<volume>Vol. 3, Agricultural Development: Farmers, Farm Production and Farm Markets</volume>
<page-range>2461-532</page-range><publisher-loc><![CDATA[North-Holland ]]></publisher-loc>
<publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<label>4.</label><nlm-citation citation-type="book">
<collab>OECD</collab>
<collab>FAO</collab>
<source><![CDATA[OECD-FAO Agricultural Outlook 2019-2028]]></source>
<year>2019</year>
<publisher-loc><![CDATA[Paris ]]></publisher-loc>
<publisher-name><![CDATA[OECD]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<label>5.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bervejillo]]></surname>
<given-names><![CDATA[JE]]></given-names>
</name>
<name>
<surname><![CDATA[Bertamini]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cambio técnico y crecimiento de la productividad total del sector agropecuario]]></article-title>
<source><![CDATA[Anuario OPYPA 2014]]></source>
<year>2014</year>
<page-range>425-36</page-range><publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[MGAP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<label>6.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bervejillo]]></surname>
<given-names><![CDATA[JE]]></given-names>
</name>
</person-group>
<source><![CDATA[Uruguay&#8217;s beef industry: an assessment of WTO disciplines on market access in agriculture]]></source>
<year>2015</year>
<publisher-loc><![CDATA[Oslo ]]></publisher-loc>
<publisher-name><![CDATA[Norwegian Institute of International Affairs]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<label>7.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Peyrou]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[La cadena de la carne vacuna]]></source>
<year>2016</year>
<publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[Universidad Católica del Uruguay]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<label>8.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguirre]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evolución reciente de la productividad ganadera en Uruguay (2010-17): metodología y primeros resultados]]></article-title>
<source><![CDATA[Anuario OPYPA 2018]]></source>
<year>2018</year>
<page-range>457-70</page-range><publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[MGAP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<label>9.</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguirre]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<source><![CDATA[Evolución de la productividad ganadera en Uruguay (2005-2021)]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B10">
<label>10.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguirre]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Productividad ganadera de los establecimientos de carne bovina del Censo General Agropecuario]]></article-title>
<source><![CDATA[Anuario OPYPA 2019]]></source>
<year>2019</year>
<page-range>497-510</page-range><publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[MGAP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<label>11.</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguirre]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<source><![CDATA[Productividad y adopción de tecnologías en la ganadería de carne vacuna en Uruguay]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B12">
<label>12.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Trestini]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Technical efficiency of italian beef cattle production under a heteroscedastic non-neutral production frontier approach]]></source>
<year>2006</year>
<publisher-loc><![CDATA[St. Paul ]]></publisher-loc>
<publisher-name><![CDATA[Center for International Food and Agricultural Policy]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<label>13.</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Qushim]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Gillespie]]></surname>
<given-names><![CDATA[JM]]></given-names>
</name>
<name>
<surname><![CDATA[Nehring]]></surname>
<given-names><![CDATA[RF]]></given-names>
</name>
</person-group>
<source><![CDATA[Scale economies and economic performance in southeastern U.S. cow-calf production]]></source>
<year>2013</year>
</nlm-citation>
</ref>
<ref id="B14">
<label>14.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Otieno]]></surname>
<given-names><![CDATA[DJ]]></given-names>
</name>
<name>
<surname><![CDATA[Hyubbard]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Ruto]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Assessment of technical efficiency and its determinants in beef cattle production in Kenya]]></article-title>
<source><![CDATA[J Dev Agric Econ]]></source>
<year>2014</year>
<volume>6</volume>
<page-range>267-78</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15.</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gatti]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Lema]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Brescia]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<source><![CDATA[A meta-frontier approach to measuring technical efficiency and technology gaps in beef cattle production in Argentina]]></source>
<year>2015</year>
</nlm-citation>
</ref>
<ref id="B16">
<label>16.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nwigwe]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Okoruwa]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Adenegan]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Olajide]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Technical efficiency of beef cattle production technologies in Nigeria: a stochastic frontier analysis]]></article-title>
<source><![CDATA[Afr J Agric Res]]></source>
<year>2016</year>
<volume>11</volume>
<page-range>5152-61</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Qushim]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Gillespie]]></surname>
<given-names><![CDATA[JM]]></given-names>
</name>
<name>
<surname><![CDATA[Bhandari]]></surname>
<given-names><![CDATA[BD]]></given-names>
</name>
<name>
<surname><![CDATA[Scaglia]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Technical and scale efficiencies of US grass-fed beef production: whole-farm and enterprise analyses]]></article-title>
<source><![CDATA[J Agric Appl Econ]]></source>
<year>2018</year>
<volume>50</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>408-28</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Martinez Cillero]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Thorne]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Wallace]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Bree]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Technology heterogeneity and policy change in farm-level efficiency analysis: an application to the Irish beef sector]]></article-title>
<source><![CDATA[Eur Rev Agric Econ]]></source>
<year>2019</year>
<volume>46</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>193-214</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lanfranco]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Buffa]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Eficiencia técnica de la invernada en Uruguay: un análisis de fronteras de producción]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Montossi]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<source><![CDATA[Invernada de precisión: pasturas, calidad de carne, genética, gestión empresarial e impacto ambiental]]></source>
<year>2013</year>
<page-range>109-28</page-range><publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[INIA]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B20">
<label>20.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[García Suárez]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Lanfranco]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Eficiencia técnica y aspectos tecnológicos de productores seleccionados: uso sostenible del campo natural]]></article-title>
<source><![CDATA[Rev INIA]]></source>
<year>2019</year>
<volume>73</volume>
<page-range>135-47</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[García-Suárez]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez-Quesada]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Molina Riccetto]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Rangeland cattle production in Uruguay: single-output versus multi-output efficiency measures]]></article-title>
<source><![CDATA[Econ Agrar Recur Nat]]></source>
<year>2022</year>
<volume>22</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>69-88</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>22.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[H-J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model]]></article-title>
<source><![CDATA[J Product Anal]]></source>
<year>2002</year>
<volume>18</volume>
<page-range>241-53</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>23.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Durán]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Jones]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Alegrette]]></surname>
<given-names><![CDATA[MJ]]></given-names>
</name>
<name>
<surname><![CDATA[Boragno]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Arriaga]]></surname>
<given-names><![CDATA[ME]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Emisión de un bono soberano indexado a indicadores de sostenibilidad y cambio climático]]></article-title>
<source><![CDATA[Anuario OPYPA 2022]]></source>
<year>2022</year>
<page-range>375-9</page-range><publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[MGAP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B24">
<label>24.</label><nlm-citation citation-type="book">
<collab>Ministerio de Ganadería, Agricultura y Pesca, DIEA (UY)</collab>
<source><![CDATA[Censo general agropecuario 2011: resultados definitivos]]></source>
<year>2013</year>
<publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[MGAP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<label>25.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Farrell]]></surname>
<given-names><![CDATA[MJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The measurement of productive efficiency]]></article-title>
<source><![CDATA[J R Stat Soc Ser A Stat Soc]]></source>
<year>1957</year>
<volume>120</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>253-81</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>26.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sickles]]></surname>
<given-names><![CDATA[RC]]></given-names>
</name>
<name>
<surname><![CDATA[Zelenyuk]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<source><![CDATA[Measurement of productivity and efficiency: theory]]></source>
<year>2019</year>
<publisher-loc><![CDATA[Cambridge ]]></publisher-loc>
<publisher-name><![CDATA[Cambridge University Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B27">
<label>27.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kumbhakar]]></surname>
<given-names><![CDATA[SC]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Horncastle]]></surname>
<given-names><![CDATA[AP]]></given-names>
</name>
</person-group>
<source><![CDATA[A practitioner&#8217;s guide to stochastic frontier analysis using Stata]]></source>
<year>2015</year>
<publisher-loc><![CDATA[Cambridge ]]></publisher-loc>
<publisher-name><![CDATA[Cambridge University Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B28">
<label>28.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kumbhakar]]></surname>
<given-names><![CDATA[SC]]></given-names>
</name>
<name>
<surname><![CDATA[Parmeter]]></surname>
<given-names><![CDATA[CF]]></given-names>
</name>
<name>
<surname><![CDATA[Zelenyuk]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Stochastic frontier analysis: foundations and advances I]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Ray]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Chambers]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Kumbhakar]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Handbook of Production Economics]]></source>
<year>2020</year>
<page-range>1-40</page-range><publisher-loc><![CDATA[Singapore ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B29">
<label>29.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kumbhakar]]></surname>
<given-names><![CDATA[SC]]></given-names>
</name>
<name>
<surname><![CDATA[Parmeter]]></surname>
<given-names><![CDATA[CF]]></given-names>
</name>
<name>
<surname><![CDATA[Zelenyuk]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Stochastic Frontier Analysis: Foundations and Advances II]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Ray]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Chambers]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Kumbhakar]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Handbook of Production Economics]]></source>
<year>2020</year>
<page-range>1-38</page-range><publisher-loc><![CDATA[Singapore ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B30">
<label>30.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aigner]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Lovell]]></surname>
<given-names><![CDATA[CAK]]></given-names>
</name>
<name>
<surname><![CDATA[Schmidt]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Formulation and estimation of stochastic frontier production function models]]></article-title>
<source><![CDATA[J Econom]]></source>
<year>1977</year>
<volume>6</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>21-37</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>31.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Stevenson]]></surname>
<given-names><![CDATA[RE]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Likelihood functions for generalized stochastic frontier estimation]]></article-title>
<source><![CDATA[J Econom]]></source>
<year>1980</year>
<volume>13</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>57-66</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>32.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kumbhakar]]></surname>
<given-names><![CDATA[SC]]></given-names>
</name>
<name>
<surname><![CDATA[Ghosh]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[McGuckin]]></surname>
<given-names><![CDATA[JT]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A generalized production frontier approach for estimating determinants of inefficiency in U.S. dairy farms]]></article-title>
<source><![CDATA[J Bus Econ Stat]]></source>
<year>1991</year>
<volume>9</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>279-86</page-range></nlm-citation>
</ref>
<ref id="B33">
<label>33.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Caudill]]></surname>
<given-names><![CDATA[SB]]></given-names>
</name>
<name>
<surname><![CDATA[Ford]]></surname>
<given-names><![CDATA[JM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Biases in frontier estimation due to heteroscedasticity]]></article-title>
<source><![CDATA[Econ Lett]]></source>
<year>1993</year>
<volume>41</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>17-20</page-range></nlm-citation>
</ref>
<ref id="B34">
<label>34.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Esteve]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Aparicio]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Rabasa]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Rodriguez-Sala]]></surname>
<given-names><![CDATA[JJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficiency analysis trees: a new methodology for estimating production frontiers through decision trees]]></article-title>
<source><![CDATA[Expert Syst Appl]]></source>
<year>2020</year>
<volume>162</volume>
</nlm-citation>
</ref>
<ref id="B35">
<label>35.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hothorn]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Hornik]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Zeileis]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Unbiased recursive partitioning: a conditional inference framework]]></article-title>
<source><![CDATA[J Comput Graph Stat]]></source>
<year>2006</year>
<volume>15</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>651-74</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>36.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Athey]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Imbens]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recursive partitioning for heterogeneous causal effects]]></article-title>
<source><![CDATA[Proc Natl Acad Sci U S A]]></source>
<year>2016</year>
<volume>113</volume>
<numero>27</numero>
<issue>27</issue>
<page-range>7353-60</page-range></nlm-citation>
</ref>
<ref id="B37">
<label>37.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Belotti]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Daidone]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Ilardi]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Atella]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Stochastic Frontier Analysis using Stata]]></article-title>
<source><![CDATA[Stata J]]></source>
<year>2013</year>
<volume>13</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>719-58</page-range></nlm-citation>
</ref>
<ref id="B38">
<label>38.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bonferroni]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Teoria statistica delle classi e calcolo delle probabilita]]></article-title>
<source><![CDATA[Pubblicazioni del R. Istituto superiore di scienze economiche e commerciali di Firenze]]></source>
<year>1936</year>
<volume>8</volume>
<page-range>3-62</page-range></nlm-citation>
</ref>
<ref id="B39">
<label>39.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguirre]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[La variabilidad de la producción ganadera pastoril en Uruguay entre 2005 y 2021]]></article-title>
<source><![CDATA[Anuario OPYPA 2022]]></source>
<year>2022</year>
<page-range>549-58</page-range><publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[MGAP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B40">
<label>40.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aguirre]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[La asociación entre adopción de tecnologías y productividad en la ganadería de carne vacuna en Uruguay]]></article-title>
<source><![CDATA[Anuario OPYPA 2022]]></source>
<year>2022</year>
<page-range>559-70</page-range><publisher-loc><![CDATA[Montevideo ]]></publisher-loc>
<publisher-name><![CDATA[MGAP]]></publisher-name>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
