<?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%">Franco, Juan Agustín</style></author><author><style face="normal" font="default" size="100%">Gaspar, Paula</style></author><author><style face="normal" font="default" size="100%">Mesias, Francisco Javier</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Economic analysis of scenarios for the sustainability of extensive livestock farming in Spain under the CAP</style></title><secondary-title><style face="normal" font="default" size="100%">Ecological Economics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">common agricultural policy</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-compliance</style></keyword><keyword><style  face="normal" font="default" size="100%">Dehesa</style></keyword><keyword><style  face="normal" font="default" size="100%">Extremadura</style></keyword><keyword><style  face="normal" font="default" size="100%">Logistic models</style></keyword><keyword><style  face="normal" font="default" size="100%">Sustainability</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S0921800911005003</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">74</style></volume><pages><style face="normal" font="default" size="100%">120 - 129</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper proposes a change in the conditions of cross-compliance of CAP payments. Speciﬁcally, the eligibility criterion considered is compliance with minimal requirements of long-term economic and agroenvironmental sustainability. To this end, 69 range farms were surveyed in Extremadura (SW Spain). In these farms, sustainability was studied using the MESMIS framework. MESMIS is based on the evaluation of basic attributes of sustainability (adaptability, self-reliance, equity, stability, and productivity) formed from different indicators. The original indicators are then synthesized by means of qualitative, quantitative, or mixed techniques into a single value measuring the sustainability of the system (sustainability index). Alternative scenarios were then deﬁned in which the perception of CAP subsidies was to a greater or lesser extent linked to levels of sustainability. For each of these scenarios, the economic indicators of the farms were compared with those of the baseline (present) situation. The analysis was completed using a logistic model classiﬁcation to study the relationship between the maximum levels attainable by the economic indicators in terms of the sustainability indices. The results showed that including sustainability as a condition for receiving aid under the CAP can contribute to improving the economic results of traditional extensive farms.</style></abstract><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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gaspar, Paula</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Gross output and livestock sales modelling in Spanish extensive farms using PLSR</style></title><secondary-title><style face="normal" font="default" size="100%">107th EAAE Seminar &quot;Modelling of Agricultural and Rural Development Policies&quot;. Sevilla, Spain, January 29 th -February 1st, 2008</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Dehesa</style></keyword><keyword><style  face="normal" font="default" size="100%">gross output</style></keyword><keyword><style  face="normal" font="default" size="100%">Livestock farming systems</style></keyword><keyword><style  face="normal" font="default" size="100%">partial least square regression</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://ageconsearch.umn.edu/bitstream/6463/2/pp08ga20.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The aim of this paper is to model some production variables in extensive livestock farms located in the dehesa ecosystem. We intend to use not only purely economic variables in the construction of the model, but also structural variables in order to identify the characteristics of the farms that have the higher influence. Another objective is to be able to predict these variables at the farm level, using structural variables that are easy to measure. The data used in this work were obtained from a questionnaire survey to the holders/managers of a sample of 69 dehesa farms in Extremadura (SW Spain). The statistical methodology used for the construction of the model was Partial Least Square Regression (PLSR). It can be concluded that the variables relative to farm intensification, to labour and especially to Iberian pig breeding, are those that take part mainly in the model.</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;periodical: 107th EAAE Seminar &quot;Modelling of Agricultural and Rural Development Policies&quot;. Sevilla, Spain, January 29 th -February 1st, 2008</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>3</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gaspar, Paula</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Gross output and livestock sales modelling in Spanish extensive farms using PLSR</style></title><secondary-title><style face="normal" font="default" size="100%">107th EAAE Seminar &quot;Modelling of Agricultural and Rural Development Policies&quot;. Sevilla, Spain, January 29 th -February 1st, 2008</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Dehesa</style></keyword><keyword><style  face="normal" font="default" size="100%">gross output</style></keyword><keyword><style  face="normal" font="default" size="100%">Livestock farming systems</style></keyword><keyword><style  face="normal" font="default" size="100%">partial least square regression</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The aim of this paper is to model some production variables in extensive livestock farms located in the dehesa ecosystem. We intend to use not only purely economic variables in the construction of the model, but also structural variables in order to identify the characteristics of the farms that have the higher influence. Another objective is to be able to predict these variables at the farm level, using structural variables that are easy to measure. The data used in this work were obtained from a questionnaire survey to the holders/managers of a sample of 69 dehesa farms in Extremadura (SW Spain). The statistical methodology used for the construction of the model was Partial Least Square Regression (PLSR). It can be concluded that the variables relative to farm intensification, to labour and especially to Iberian pig breeding, are those that take part mainly in the model.</style></abstract></record></records></xml>