<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gaspar, P.</style></author><author><style face="normal" font="default" size="100%">Mesías, F. J.</style></author><author><style face="normal" font="default" size="100%">Escribano, M.</style></author><author><style face="normal" font="default" size="100%">Pulido, F.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Assessing the technical efficiency of extensive livestock farming systems in Extremadura, Spain</style></title><secondary-title><style face="normal" font="default" size="100%">Livestock Science</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Data envelopment analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Dehesa</style></keyword><keyword><style  face="normal" font="default" size="100%">Extensive livestock farming</style></keyword><keyword><style  face="normal" font="default" size="100%">Technical efficiency</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S1871141308001558</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">121</style></volume><pages><style face="normal" font="default" size="100%">7 - 14</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The technical efficiencies of a sample of extensive dehesa farms were analyzed using a nonparametric Data Envelopment Analysis (DEA) model. This technique creates efficiency indices by comparing the performance of each farm with the best production practices observed, which define the efficiency or production frontier. The influence of the European Union's Common Agricultural Policy (CAP) subsidies (taken as an output) on the farms' efficiency was determined. The measurement of the efficiency has taken place from inputs per hectare thus allowing to make a different interpretation from the scale efficiency that, instead of referring to the dimension of the farm, is referred to the intensification. Thanks to the input-oriented analysis it can be established that the farms could maintain similar production levels by introducing a 30% reduction of their inputs (e.g. with breeds better adapted to the environment, a better use of the own produced pastures to reduce the amount of feedstuff to be bought, reductions in manpower…). Those highly intensified dehesas have shown decreasing inefficiencies of scale, whereas the least intensified have shown increasing inefficiencies. With a second stage analysis, different types of farms were identified as corresponding to greater or lesser efficiencies. It has been identified that the group of farms with high stocking rates have the greatest efficiencies indices. With respect to the livestock orientation, the farms with a livestock mix including pig were the most efficient. Modifications in the stocking rate, allowing an adequate use of the natural resources available, can be a solution to improve the efficiency of dehesa farms. In addition mixed livestock farming is another useful tool towards achieving increased efficiency, and a reduced dependence on subsidies.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Elsevier B.V.</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gaspar, P.</style></author><author><style face="normal" font="default" size="100%">Escribano, M.</style></author><author><style face="normal" font="default" size="100%">Mesías, F. J.</style></author><author><style face="normal" font="default" size="100%">Ledesma, a Rodriguez De</style></author><author><style face="normal" font="default" size="100%">Pulido, F.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sheep farms in the Spanish rangelands (dehesas): Typologies according to livestock management and economic indicators</style></title><secondary-title><style face="normal" font="default" size="100%">Small Ruminant Research</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Dehesa</style></keyword><keyword><style  face="normal" font="default" size="100%">Farm typology</style></keyword><keyword><style  face="normal" font="default" size="100%">Principal component analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Sheep</style></keyword><keyword><style  face="normal" font="default" size="100%">technical and economic management</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S0921448807000971</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">74</style></volume><pages><style face="normal" font="default" size="100%">52 - 63</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Forty-six dehesa sheep farms of Extremadura (SW Spain) were analyzed on the basis of previously determined technical and economic indicators. A principal component analysis gave ﬁve principal components – related to intensiﬁcation, proﬁtability, and livestock mix – that characterized the farms. Using multivariate techniques based on these factors, a farm typology was established with six categories—three of sheep alone at different levels of intensiﬁcation, and three of sheep in combination with beef cattle or Iberian pig. This typology enabled homogeneous groups of farms to be considered for possible administrative actions relating to their optimal dimensions and stocking rates</style></abstract><issue><style face="normal" font="default" size="100%">1-3</style></issue></record></records></xml>