Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe paper investigates the differences between small, medium-sized and large firms regarding their performance in the introduction of new products and processes. After a review of the relevant literature, two models are proposed and tested in search for different business strategies and innovation inputs connected to product and process innovations. The empirical analysis uses innovation survey (CIS 2) data at the industry level for 22 manufacturing sectors, broken down in three firm size classes, for eight European countries. Special attention is devoted to tackling the issues of possible endogeneity of the regressors and of unobserved sectoral heterogeneity. The results -strengthening the findings of previous studies -show that product and process innovations, though having some complementarities, are associated to different innovative inputs and strategies pursued by firms. Systematic differences also emerge between the behaviour of large firms and SMEs. JEL codes: L11, O31, O33Keywords: Product innovation; Process innovation; Firm size; Determinants of innovation; European industries 1 The authors would like to thank Marco Vivarelli, Martin Carree and an anonymous referee for their helpful comments. The usual disclaimer applies.

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In a multivariate setting, we document that renewable energy generation has a positive impact on economic growth at the regional level in Italy. We do so by adopting panel data unitroot and cointegration tests as well as Granger non-causality tests relying on the system GMM estimator. Our results are interpreted in three ways. Renewable energy generation alleviates balance-of-payments constraints and reduces the exposure of a regional economy to the volatility of the price of fossil fuels and to negative environmental and health externalities deriving from non-renewable energy generation. Therefore, our evidence supports policies promoting renewable energy generation.