Innovation policy mix: mapping and measurement
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The “policy mix” concept has gained popularity among science, technology and innovation policy communities over the past two decades in a context of growing policy complexity and need for policy evidence. Pressing societal challenges are also prompting governments to rethink policy making in order to better align public intervention across policy domains and leverage the transformative potential of system innovations. Governments faced multiple obstacles in implementing a policy mix approach in policy making and evaluation. Based on a comparative analysis of international STI policy repositories, a conceptual framework is proposed, as well as structuring principles and operational guidelines for mapping the composition of a policy mix, identifying interactions among components and translating the mapping into measurement. In that view, a range of new policy mix metrics is introduced. Finally, the discussion focuses on the need for moving towards a new data management paradigm and enlarging the measurement mix.
KeywordsInnovation policy Technology policy STI policy mix
JEL ClassificationA1 F63 H4 I2 M2
Thanks to Ester Basri, Mario Cervantes and Alessandra Colecchia, former Secretaries of the OECD Working Parties of Research Institutions and Human Resources, Innovation and Technology Policy, and National Experts of Science and Technology Indicators (NESTI) respectively, for their support in the early developments of this work. Thanks to Dominique Guellec and colleagues of the OECD Directorate for Science, Technology and Innovation, OECD Directorate for Public Governance and Territorial Development and OECD Environment Directorate as well as colleagues of the European Commission’s Directorate General for Research and Innovation for enlightening discussions in the course of this research. Last but not least, thanks for their pivotal role in supporting the EC/OECD STI Policy Survey and developing its first generation database: Julien Chicot, Sylvain Fraccola, Nils de Jaeger, Naoya Ono, Inmaculada Perianez-Forte, Chiara Petroli, Samuel Pinto-Ribeiro, Jakob Pruess, Blandine Serve, Charlotte van Ooijen and Tomomi Watanabe. Dirk Meissner’s contribution to this article is based on the study funded by the Basic Research Program of the National Research University Higher School of Economics (HSE) and by the Russian Academic Excellence Project ‘5-100’.
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