3 resultados para mode of social knowledge

em SAPIENTIA - Universidade do Algarve - Portugal


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Tourism sector in Algarve region is the main engine of regional economy. Although frequently, tourism is considered as a low – moderate innovative sector, tourism competitiveness is still highly dependent on specific features of a Regional Innovation Platform, highlighting the crucial importance of knowledge creation and diffusion, learning, cooperative and collaborative interaction that may evolve to a Regional Innovation System (RIS). Studies of Local Knowledge Spillovers have been frequently focused on empirical evidence provided by regions highly related with manufacturing sectors. Considering a case study in Tourism Algarve Region, emphasizing a theoretical character on the analysis of these areas and using a qualitative methodology, the goal of this study was to provide preliminary evidence of the main sources and vehicles of regional knowledge spillovers used by tourism enterprises. Main information has been obtained using primary information collected from 20 interviews over main stakeholders regarding regional private and public sector. Primary information was complemented with secondary information, a deeply and extensive bibliography revision and also statistical information. Results show that, on the one hand, main sources of knowledge used by micro and small tourism enterprises are human resources and formal and informal networks. On the other hand, large tourism companies are weakly related with regional sources using mainly internal company and economic group resources to generate innovation activities. Regional innovation platform shows clear weaknesses on linkages and coordinated initiatives to promote and support innovation performance of firms hampering to increase tourism competitiveness and regional development.

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As the number of pensioners in Europe rises relative to the number of people in employment, the gap between the contributions and the benefit levels increases, and consequently ensuring adequate pensions on a sustainable basis has become a major challenge. This study aims to explore the potential of using the Data Envelopment Analysis (DEA) technique in order to access the efficiency of the income protection in old age, one of the most important branches of Social Security. To this effect, we collected data from the 27 European Union Member States regarding this branch. Our results show important differences among the Member States and stress the importance of identifying best practices to achieve more adequate, sustainable and modernised pension systems. Our results also highlight the importance of using DEA as a decision support tool for policy makers.

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Dissertação de mestrado, Economia do Turismo e Desenvolvimento Regional, Faculdade de Economia, Universidade do Algarve, 2014