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Renewable energy innovations in Europe: a dynamic panel data approach

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We investigate the determinants of renewable energy R&D intensity and the impact of renewable energy innovations on firm performance, using several dynamic panel data models. We estimate these models using a large data set of European firms from 19 different countries, with some patenting activity in areas related to renewable energies during the 1987 to 2007 period. Our results confirm our priors on the determinants of the rapid development of renewable energy R&D intensity during the past decades. Additionally, we find evidence that renewable patent intensity has a significant dynamic impact on the stock market value of firms.

Keywords: C15; C31; C32; C33; CA1; R&D intensity; count data; dynamic panel data; patents; stock market value

Document Type: Research Article


Affiliations: Department of Business Administration,Universidad de Navarra, 31080 Pamplona, Spain

Publication date: 2012-08-01

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