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The varying rates of recovery of European regional economies from the 2007 to 2008 economic crisis have raised interesting questions about the sources of economic resilience. Policy discourse has increasingly asserted the role played by innovation in facilitating rapid recovery from economic shocks, whilst evolutionary thinking has highlighted the specific importance of innovation capacity. However, empirical evidence on this is lacking. This paper addresses this gap by providing new empirical analysis of the relationship between regional innovation capacity and the resilience of European regions to the crisis. It finds that regions identified as Innovation Leaders at the time of the crisis were significantly more likely to have either resisted the crisis or recovered quickly from it (i.e. within 3 years). This provides important insights for evolutionary approaches theorising the relationship between innovation and resilience. JEL Classification R1 · O3

This paper describes an approach developed to measure regional economic resilience across Europe which is novel in three key dimensions. Firstly, it seeks to date regional downturns as opposed to assuming that all regional economies are affected by economic shocks at the same point in time; secondly, it measures the amplitude and duration of economic downturns and subsequent recoveries; and thirdly, as well as measuring recovery, it measures the resistance of regional economies to economic shocks. The paper applies this methodology to selected European countries to provide an analysis of differential regional responses to several economic shocks since the early 1990s. The paper then reflects upon the utility of this methodology for operationalising regional economic resilience in crosscomparative studies. AbstractThis paper describes an approach developed to measure regional economic resilience across Europe which is novel in three key dimensions. Firstly, it seeks to date regional downturns as opposed to assuming that all regional economies are affected by economic shocks at the same point in time; secondly, it measures the amplitude and duration of economic downturns and subsequent recoveries; and thirdly, as well as measuring recovery, it measures the resistance of regional economies to economic shocks. The paper applies this methodology to selected European countries to provide an analysis of differential regional responses to several economic shocks since the early 1990s. The paper then reflects upon the utility of this methodology for operationalising regional economic resilience in crosscomparative studies.

This paper examines the ways by which organizational and institutional features of regional innovation systems shape smart specialization practices in less-developed, intermediate and advanced regions. Drawing on research from 15 European regions, it shows that the implantation of smart specialization creates challenges in all three types of regions. At the same time, there is evidence that smart specialization supports policy-learning and system-building efforts in lessdeveloped regions and facilitates policy reorientation and system transformation in more advanced regions.

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