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Outline. Conceptual issues around
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1. Taking R&D Targeting Strategies Forward: Remarks at the “Target Closing Conference”
Mario Cervantes
Country Studies and Outlook Division,
Directorate for Science, Technology and Industry OECD
Jerusalem,13- 15 September 2011
2. Outline Conceptual issues around “Targeting R&D” investments
Goals of the Target Tool Kit
Challenges for Further Developing the Target Tool Kit
Insights from the OECD Innovation Policy Platform (IPP) 2
3. Conceptual Issues around Targeting R&D (1) Economic Rationale for Targeting R&D investments
- Neo-classical view: Economic growth brings about structural change
- Evolutionary economics view:
-Economic growth not only accompanies structural change, but can be triggered by structural change, particularly via the emergence of new knowledge-based sectors
- Radical innovation can lead to new firms, new sectors
- Market failures in human capital accumulation, finance and co-ordination justify a technology and innovation policy
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4. Conceptual Issues around Targeting R&D (2) Past Policy rationales for Targeting
- Infant Industry Argument (positive externalities)
- Picking winners (e.g. Korea, Japan, India)
- New Industrial Policy (support new industries as opposed to old sectors)
New Rationales for Targeting Public R&D investments
3 main rationales
-Increase the “direction” not only the “rate” of innovation, especially as means to solve societal challenges (health, education, energy, etc). => targeted AND horizontal policies
- Solving a resource allocation problem : what, where, how much to invest? (esp. in context of fiscal consolidation) - Addressing market (finance) and systemic (co-ordination) failures in R&D that lead to low levels of innovation, and hence structural change
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5. Conceptual issues around Targeting R&D (3) How much targeting is desirable/achievable?
Links between basic research and innovation
But ime horizon from discovery to innovation can range from months to 10, 20 , 50, even 100 years
Diversity versus specialisation (one need multiple solutions)
Science and innovation are global, but policies are national
Serendipity matters
Type of National Innovation System shapes Targeting potential
Policy and institutional path dependency (e.g. semi-autonomous universities, public research organisations)
Economic and industrial structure
Governance & institutional capacity for targeting (e.g. co-ordination)
Who decides? National, regional gov’ts , funding agencies, universities?
Bottom-up , top-down
Mechanisms for targeting will differ
External stakeholders shape targets (e.g. EU Funds, Industry)
Evaluation and metrics 5