Regional Convergence and R&D Investment: Applied investigation in Portugal

• Autor(a) principal: Guerreiro, Gertrudes
• Data de Publicação: 2015
• Outros Autores: Guerreiro, António
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10174/16665
• topic: R&D Investment; Income Distribution; Regional Inequality; Regional Convergence; Spatial Econometrics

R&D investments are seen has having an enormous potential impact on the competitive position of regions and perhaps on regional convergence (or divergence) too. The aim of the paper is to study both the localization of R&D investments and regional income distribution among the NUTs 3 regions of Portugal to conclude if these variables are related or not. We intend to answer questions like if geography influences the pattern of R&D investments and inequality, and if these ones reveal the presence of spatial correlation. Furthermore, we evaluate convergence or divergence in income growth and if it is related with R&D investments. After a brief introduction we evaluate the inequalities among regions using information about per capita GDP and per capita R&D investment. It follows the convergence analysis and conclusions. To study the spatial convergence (approximation) of per capita income (GDPpc) and R&D investments in the regions of Portugal, we use a standard methodology of spatial econometrics. We compared the values of each geographical unit with the values calculated to the neighboring geographic units, in the first and last year of the period under review. We conclude that regions with higher GDPpc are not the same with the highest concentration of R&D investments, with the exception of the northern coastline. The R&D investments are geographically linked to the network of higher education institutions, especially in the interior regions of the country. The northern regions reveal more dynamic in terms of R&D, which apparently is not felt in the population's standard of living measured by GDPpc. Our challenge for the future of this work is to understand and to explain this data evidence.