ARTIST Assessment and Review Tool for Innovation Systems of Technologies Koen Schoots, Michiel Hekkenberg, Bert Daniëls, Ton van Dril Agentschap NL: Joost Koch, Dick Both Petten 24 September 2012
www.ecn.nl
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Innovation policy: invest now, results much later
Factual and real-time insight in the functioning of innovation systems ARTIST: a multi-criteria evaluation model for technology innovation systems • Where are bottlenecks which hamper an innovation moving towards the market? • Are there signs that a technology is moving into a next development phase? (actors, activities) • What has an individual policy instrument or a mix of policy instruments contributed to achieving goals in the field of innovation systems? • Does the framework of anticipated policy instruments contribute to the planned goals for the innovation system?
The ARTIST evaluation model
Technology development phases Market share
Time
Technology development phases Market share
Learning effects
Fundamental research
Time
Technology innovation model Incentives
Innovation system
Technology development
Actors
Wide range of innovation activities
Market incentives Steering market actors
Interactive learning process throughout the whole chain
Market share
Research workers
Social capital Producers & Business
Institutions Connection between higher education and the research capacity
Policy incentives
End users
Investment in social and human capital Geographic clustering Government
Financiers
time
Adsorptive capacity
Qualitative assessment of innovation policy frameworks
Does TKI’s and HCA framework cover the innovation system? Factoren innovatiesysteemmodel
Elementen in TKI’s en HCA
Wide range of innovation activities
TKI - Totstandkoming programma’s; Hele keten van fundamenteel onderzoek t/m experimentele ontwikkeling; Uitvoering onderzoek bij universiteiten, technologische instituten, hogescholen en bedrijven
Interactive learning process throughout the whole chain
TKI - Netwerkvorming; Kennis(ver)deling; Hele keten van fundamenteel onderzoek t/m experimentele ontwikkeling; Precompetitieve samenwerking tussen publieke en private partijen HCA - Mobiliteit binnen gouden driehoek; Interactie en coproductie tussen onderwijsinstellingen, bedrijven en overheden
Social capital
TKI - Netwerkvorming; Precompetitieve samenwerking tussen publieke en private partijen HCA - Interactie en coproductie tussen onderwijsinstellingen, bedrijven en overheden
Institutions
HCA - Wegnemen barrieres in regelgeving voor onderwijsinstellingen; Versterken aandacht voor systeemniveau
Investment in social and human capital
HCA - Formuleren toekomstige profielen en aantal banen; Interactie en coproductie tussen onderwijsinstellingen, bedrijven en overheden; Versterking centra voor innovatief vakmanschap en centres of expertise
Connection between higher education and the research capacity
HCA – Versterken HBO onderzoeksfunctie
Geographic clustering
TKI - Netwerkvorming (afhankelijk van design beleidsinstrumenten) HCA - Aandacht voor perifere en krimpregio’s
Adsorptive capacity (demand factors)
TKI - Regie (bedrijfsleven heeft behoeften eindgebruikers in kaart)
Where are gaps in the innovation policy framework? Model
Balkenende IV
Quantitative (re)view on the innovation system around fermentation of biomass
Testcase: fermentation of biomassa • Based on project data from EOS and Innovatieagenda, no SDE period: 2005-2010. • Fermentation of biomass for use in cogeneration plants to generate electricity – early market phase. • Fermentation of biomass in which the product gas is processed to grid quality and traded as green gas – demonstration phase.
Interactive learning process throughout the whole chain Composition of the type of the involved actors Electricity
Green gas
Interactive learning process throughout the whole chain Composition of the type of knowledge that is contributed Electricity
Green gas
Wide range of innovation activities Types of research performed within projects Electricity
Green gas
Social capital Involvement of actors in projects 2002 - 2003
2002 - 2005
2002 - 2008
2002 - 2010
Social capital Connections between actors involved in projects – Solar PV Pre-topsector policy
Topsector policy
Social capital Composition project initiators over types of actors Electricity
Green gas
Adsorptive capacity (demand factors) Composition of project takers – who gets in, who gets out? Electricity
Green gas
Adsorptive capacity (demand factors) Composition of project takers – who gets in, who gets out? Electricity
Green gas
Adsorptive capacity (demand factors) Composition of project clients – who gets in, who gets out? Electricity
Green gas
Insights from the analysis Fermentation for green gas: • Larger number of private companies active than expected in demo phase. • Possible knowledge spill-over between electricity and green gas application. Green gas based on existing technology. • Indicates launch of market development for green gas application. • When the basic technology components are present, the development of a new combination technology can go real fast.
Conclusion
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A network analysis assessing the functioning of an innovation system provides: • Constructive recommendations for policy design. • Structured information on progress in technology development for actors involved in innovation systems. • It answer questions like: – Where are bottlenecks which hamper an innovation moving towards the market? – Are there signs that a technology is moving into a next development phase? (actors, activities) – What has an individual policy instrument or a mix of policy instruments contributed to achieving goals in the field of innovation systems? – Does the framework of anticipated policy instruments contribute to the planned goals for the innovation system?
