Browsing by Author "Barandela, Jesyca Salgado"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Exploring dynamics between the socioeconomic sectors from North of Portugal and GaliciaPublication . Martinho, Vítor; Barandela, Jesyca SalgadoCultural and institutional differences could difficult to strengthen the relationships between regions from diverse countries. This situation is a little true for the cooperation among the North of Portugal and Galicia, but present and recent past show that there is promising news for the future. In this scenario, the main objective of this work is to identify the dynamics between the economic sectors of these two regions, stressing the advantages from a closer cooperation. To achieve these objectives, data from the Eurostat for the Portuguese and Spanish NUTS 3 were considered. These data were explored through panel data models from the Keynesian and Neoclassical models, allowing for spatial effects. The main findings stress that there are interesting catching-up effects between the North of Portugal and Galicia that could be explored deeper, namely between the manufacturing industry.
- The North of Portugal and Galicia: Evidence of Agglomeration of Economic ActivityPublication . Martinho, Vítor; Barandela, Jesyca SalgadoThe North of Portugal and Galicia are two neighbouring regions, from different countries, with a high potential for cooperation and the creation of common synergies across their several business sectors. From this framework, it is essential to further explore the main business clusters which operate in these two neighbouring regions having a different strategic and institutional base. Considering these motivations, the main objective of this study is to identify the main socioeconomic activities that operate in these two regions and to explore the spatial interrelationships between them. For this purpose, statistical information from the official institution for Statistics of Portugal and the Instituto Galego de Estatística, were both considered and disaggregated at municipal level, for the number of companies that operate in each municipality of these regions. These data were previously exploited through descriptive analysis and later with spatial autocorrelation approaches. This statistical information was, also, analysed through the models related with agglomeration processes from the New Economic Geography. The results which were obtained highlight the importance of the services for these two regions, but also, the industry, where the cooperation may be increased and improved, by taking advantages from spatial autocorrelation synergies.