ERAWATCH Analytical Country Report 2007: Poland

The main objective of ERAWATCH analytical country reports is to characterise and assess the performance of national research systems and related policies in a structured manner that is comparable across countries. The reports support the mutual learning process and the monitoring of Member States efforts by DG Research in the context of the Lisbon Strategy. In order to do so, the system analysis focuses on key processes relevant for system performance. Four policy-relevant domains of the research system are distinguished, namely resource mobilisation, knowledge demand, knowledge production and knowledge circulation. This analytical approach has been tested in 2007 by applying it to six countries, one of which is Poland. The report is based on a synthesis of information from the ERAWATCH Research Inventory and other important available information sources.JRC.J.3-Knowledge for Growt

ERAWATCH Country Report 2008 - An Assessment of Research System and Policies: Germany

The main objective of ERAWATCH country reports 2008 is to characterise and assess the performance of national research systems and related policies in a structured manner that is comparable across countries. The reports are produced for each EU Member State to support the mutual learning process and the monitoring of Member States' efforts by DG Research in the context of the Lisbon Strategy and the European Research Area. In order to do so, the system analysis focuses on key processes relevant for system performance. Four policy-relevant domains of the research system are distinguished, namely resource mobilisation, knowledge demand, knowledge production and knowledge circulation. The reports are based on a synthesis of information from the ERAWATCH Research Inventory and other important available information sources.JRC.J.3-Knowledge for Growt

ERAWATCH Analytical Country Report 2007: France

The main objective of ERAWATCH analytical country reports is to characterise and assess the performance of national research systems and related policies in a structured manner that is comparable across countries. The reports support the mutual learning process and the monitoring of Member States efforts by DG Research in the context of the Lisbon Strategy. In order to do so, the system analysis focuses on key processes relevant for system performance. Four policy-relevant domains of the research system are distinguished, namely resource mobilisation, knowledge demand, knowledge production and knowledge circulation. This analytical approach has been tested in 2007 by applying it to six countries, one of which is France. The report is based on a synthesis of information from the ERAWATCH Research Inventory and other important available information sources.JRC.J.3-Knowledge for Growt

Energy Research Capacities in EU Member States

This report gives an overview of the energy research capacities in EU Member States. It is composed of a quantitative analysis of funding for energy research and an assessment of the institutional capacity in energy research policy making. The analysis shows that Member States award relatively little importance to energy research in general. While energy R&D priorities vary among Member States, shared priorities exist for some technologies among various countries. Due to the diverse institutional set-ups the exploitation of synergies remains challenging despite recent efforts for better coordination of national efforts.JRC.J.2-Competitiveness and Sustainabilit

Ökologische Innovationspolitik: Eine evolutorisch-ökonomische Perspektive

The book first reviews, synthesises and extends evolutionary, in particular neo-Schumpeterian models of (radical) technical change, situating problems and drivers of environmental problems as specific form of more general issues related to path dependent innovation processes. The resulting qualitative model of non-incremental innovation is illustrated by essentially two sectoral case studies (iron and steel, dwellings). Based on this conceptualisation and a review of the current state of dynamic economic policy approaches, an evolutionary theory of ecological innovation policy is developed. Policy examples from the two abovementioned and two other sectors complement this part.JRC.DDG.J.3-Knowledge for Growt

Martin Jaenicke zum 70. Geburtstag

Invited journal editorial at the occasion of the 70th birthday of Prof. Dr. Martin Jaenicke, a German Professor for Political Science at the Free University of BerlinJRC.J.3-Knowledge for Growt

Evolutionary Approaches for Sustainable Innovation Policies: From Niche to Paradigm?

Fostering technological innovation is considered as an important element of policies towards sustainable development. In the past 10 years, evolutionary policy approaches have been increasingly advocated. For several reasons, they seem well equipped to underpin sustainable innovation policies. They focus on dynamics of change and their drivers, they allow for a substantive perspective on technologies beyond mere input¿output relations, taking into account trajectories and different characteristics of innovation, and they are able to describe circumstances under which established technologies might persist even whenthey are to some extent inferior to their newcompetitors (lock-in).However, the policy effectiveness of evolutionary approaches in cases in which radical or systemic changes are involved is not yet proven. In this paperwe assess the theoretical rationale, instrumental aspects and the coping with policy constraints of three evolutionary policy approaches which have also been used in empirical studies: strategic niche management, transition management and time strategies. Each approach has its strengths and specific problems and all three have to be further developed and tested out but they hold promise for contributing to non-incremental change with economic and environmental benefits, by shaping processes of variation, selection and retention, with the outcomes feeding back into policy. Theymay also be used in other areas in which innovation direction is important, for instance health care or food.JRC.J.3-Knowledge for Growt