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Renewable energy, Quantile regression, EU Directive 2001/77/EC, European countries, N74, Q42, Q58,

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ABSTRACT. This paper aims to define the determinants of regional growth in Portugal, at the NUTS III level, in a time span between 1999 and 2010. A panel data approach is used as well as the fixed, random and pooled effects models, all of them with and without trend. The results from the panel data and the Hausman test show that the model that best portrays the reality under study is the panel data with random effects model. The performed analysis allowed us to confirm that employment, sectorial GVA, electricity consumption, number of museums and landline phone accesses have a positive association with the regional per capita GDP. Surprisingly, the number of residents, population density, number of medical doctors and technical progress presents a negative correlation instead.

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This paper investigates interdependencies and linkages between international stock markets in the short-run. Thus, twelve European and non-European markets were selected, and the period from 4. October 1999 to 30 June 2011 was chosen, which includes the Dot-Com crisis and the recent Global Financial Crisis. To investigate interdependence and dynamic linkages between stock markets, a vector autoregressive model, the concept of Granger causality and impulse-response functions were considered. We concluded that the global financial crisis contributes to the intensification of the interdependence between stock markets.

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