The rural development policy in Extremadura (SW Spain): spatial location analysis of leader projects

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The rural development policy in Extremadura (SW Spain): spatial location analysis of leader projects

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Title: The rural development policy in Extremadura (SW Spain): spatial location analysis of leader projects
Author: Nieto Masot, Ana; Cárdenas Alonso, Gema
Abstract: Desde los años 90, se han puesto en marcha una serie de programas de ayuda al desarrollo rural (Programa LEADER) en las zonas rurales europeas, incluida Extremadura, con el fin de resolver los problemas demográficos, sociales y económicos que experimentan las zonas rurales. El objetivo principal de estos programas es diversificar la economía para revertir estos problemas. El propósito de este trabajo es estudiar la distribución de las inversiones comprometidas durante el período 2000-2013 en Extremadura según la geolocalización y realizar el análisis de los clusters a través de la I, Getis-Ord Gi*, y la Densidad de Núcleo Local de Moran para determinar si los resultados están relacionados con el comportamiento demográfico y económico de cada territorio de actuación y si éstos actúan como factores de localización de las inversiones. Encontramos que las ciudades más dinámicas reciben más inversiones, dejando fuera a las más desfavorecidas física, económica y demográficamente.Since the 1990s, a series of rural development aid programs (LEADER Approach) has been implemented in European rural areas, including Extremadura, in order to solve the demographic, social, and economic problems that rural areas experience. The main objective of these programs is to diversify the economy to reverse these problems. The purpose of this present paper is to study the distribution of the investments committed during the period of 2000–2013 in Extremadura according to the geolocation and to perform the analysis of clusters through Local Moran’s I, Getis-Ord Gi*, and Kernel Density in order to determine whether the results are related to the demographic and economic behavior of each territory of action and if these act as location factors for investments. We found that most dynamic towns receive more investments, leaving out the more physically, economically, and demographically disadvantaged ones.
URI: http://hdl.handle.net/10662/10426
Date: 2018


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