Application of Spatial Analysis to Identify the Location of Entrepreneurs Supported by the Regional Government in Andalusia (Spain)

In this work, spatial analysis was used to identify the locations of entrepreneurs supported by the regional government of Andalusia (Spain). The objective of this research is to study the effectiveness of the support work for entrepreneurship carried out by the Andalusians Entrepreneurship Centres (CADEs) in the autonomous community. As a first approach to this objective, the geographical situation of the supported entrepreneurs is determined, and how that situation influences the support for entrepreneurship is analysed. We use spatial pattern analysis techniques that allow us to assess the impact of these efforts. Attending to the areas of greater concentration as well as those of lower concentration, we conclude that CADEs are an effective instrument of the entrepreneurship policy in this region. In addition, by concentrating on rural and mountain areas, the work of CADEs contributes to the local development of these zones by supporting the development and sustainability of the business sector in areas with higher unemployment rates and a greater threat of depopulation. The study’s conclusions are relevant in showing the role of public administration in the development of European Union (EU) Objective 1 regions and, more specifically, in the support of entrepreneurship

The relationships between Depression Spatial Clusters and Mental Health planning in Catalonia(Spain)

This study aims to analyse potential risk factors which could influence the occurrence of hot spots of depression. They cannot only be explained through municipal socio-demographic characteristics and which is why causes at catchment area level should also be studied. Indicators at both spatial levels were analysed by a multi-level regression model. The analysis included various sociodemographic, geographical and service allocation indicators. According to scientific literature, unemployment and rurality were identified as risk factors for depression and, therefore, for hot spots. On the other hand, low educational levels and poor accessibility showed little relationship here while other studies indicated otherwise. Preliminary results described diverse risk factors at two levels which were related to a high likelihood of hot spots, although more indepth analysis will be needed