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dc.contributorConsejería de Agricultura y Pesca, Junta de Andalucíaspa
dc.contributor.authorPEREZ HERNANDEZ, PEDRO PABLO; UNIVERSIDAD LOYOLA ANDALUCIA
dc.contributor.authorMartin-Lozano, José-Manuel
dc.contributor.authorTorres-Jiménez4, Mercedes
dc.contributor.authorFernández-Portillo, Luis-Antonio
dc.date.accessioned2018-02-24T15:01:50Z
dc.date.accessioned2020-04-16T15:00:01Z
dc.date.accessioned2023-05-11T15:55:26Z
dc.date.available2018-02-24T15:01:50Z
dc.date.available2020-04-16T15:00:01Z
dc.date.available2023-05-11T15:55:26Z
dc.date.created2014-07-03
dc.identifierhttp://revistas.javeriana.edu.co/index.php/desarrolloRural/article/view/6483
dc.identifier.issn2215-7727
dc.identifier.issn0122-1450
dc.identifier.urihttps://hdl.handle.net/20.500.12032/101161
dc.description.abstractThe EU has promoted initiatives to develop its rural areas. In this research, we apply the last of those initiatives to Andalusia (southern Spain). These are the main aims pursued in this study: first, to present the methodology selected to identify the most influential variables that act as catalysts for development in each rural county of Andalusia; second, to identify rural county groups that show basic similarities in terms of the variables selected and third, to contribute to the integration of development strategies. To reach those objectives, it was applied the Prospective Structural Analysis as well as Cluster Analysis along with Discriminant Analysis to validate it. The results show the existence of four clearly differentiated clusters in the region.spa
dc.formatPDFspa
dc.format.mimetypeapplication/pdfspa
dc.language.isospa
dc.publisherPontificia Universidad Javerianaspa
dc.relation.urihttp://revistas.javeriana.edu.co/index.php/desarrolloRural/article/view/6483/7044
dc.subjectDirección Estratégica, análisis estadísticospa
dc.subjectRural Development, Prospective Structural Analisys, Cluster Analisysspa
dc.subjectnullspa
dc.titleApplication of Prospective Analysis and Cluster Analysis as a Tool to Aid in the Design of Rural Development Policies: the Case of Andalusiaspa


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