Policy analysis ESF/ECRP project · 2012-04-17 · Policy analysis – ESF/ECRP project...
Transcript of Policy analysis ESF/ECRP project · 2012-04-17 · Policy analysis – ESF/ECRP project...
Policy analysis – ESF/ECRP project
’Constructing Regional Advantage:
Towards State-of-the-art Regional
Innovation System Policy in Europé’
Professor Bjørn Asheim, Deputy Director,
CIRCLE (Centre for Innovation, Research and Competence
in the Learning Economy),
Lund University, Sweden
Presentation, ESF/ECRP project meeting
Utrecht, 11-13 February 2008
Bjørn Asheim, 2007
The key points to remember
Knowledge creation and innovation are strongly shaped by specific knowledge base(s), but take place in all kind of industries
VoC argues that different national institutional frameworks (LMEs vs. CMEs) support different forms of economic activities due to different types of institutional complementarities
No optimal or best way to promote innovation in different industries in a globalising knowledge economy. Innovation policies must be adaptive and context sensitive (customized and fine-tuned)
Bjørn Asheim, 2007
Policy challenges: Peripheral and old
industrial regions
Less innovative in comparison to more agglomerated regions
Less R&D intensity and innovation
A less developed knowledge infrastructure (universities and R&D institutions)
Suffering from institutional thinness
Overspecialised in mature industries experiencing decline
Few R&D activities, mature technological trajectories, cognitive lock-in
University and public research oriented at traditional industries / technologies
Source: Tödtling & Trippl (2005)
Bjørn Asheim, 2007
Policy challenges: Fragmented
metropolitan and innovative regions
Many and diverse industries/ business services
Lack of dynamic clusters of (local) innovative firms and knowledge spill-overs
R&D departments and headquarters of large firms
Many and high quality universities and public research organisation but weak industry-university links
Regions with cutting edge
technologies and a high level
of R&D
Exposed to new challenges
and competition from
emergent economies
Diversify into new but related
industries
New ways of continuous
innovation support
(Constructing Regional
Advantage - CRA)
Source: Tödtling & Trippl (2005)
Bjørn Asheim, 2007
From competitive to constructed
advantage: Regional Policy Challenges
Imitation and adaptation is not any longer a sufficient strategy for regions. Unique advantages have to be actively constructed
Industrial renewal takes place in-between and beyond existing sectors – need for transcending traditional sector policies (platform policy)
Innovation through combining existing knowledge, technologies and competencies with new generic technologies (IT, biotech (green and white))
How to shape conditions for constructing regional advantage (CRA)?
Bjørn Asheim, 2007
From comparative to constructed
advantage
Comparative advantage: criticized for dismissing the role of technological change and innovation
Competitive advantage: too narrowly institutional oriented by focusing on the creation of endogenous capacity of regions to learn and innovate by a combination of markets and networks
Constructed advantage: acknowledges more the important interplay between industrial dynamics (knowledge bases) and institutional dynamics (i.e. different knowledge bases need different kinds of institutional support) as well as private-public complementarities in policy making by a stronger focus on actors, agencies and governance forms (addressing system failure).
Bjørn Asheim, 2007
Need for new typologies
In the globalising knowledge economy knowledge creation and innovation processes have become increasingly complex, diverse and interdependent in recent years. Thus, there is a need to go beyond simple taxonomies and dichotomies:
Pavitt’s taxonomy (1984):
- behaviour of innovating firms
- sources for innovation
Low tech vs. high tech (OECD’s classification of R&D intensity)
Codified – tacit knowledge
Bjørn Asheim, 2007
Content of policies for
Constructing Regional Advantage
Proactive and trans-sectoral, platform oriented policies (transcending traditional industry specific policies):
1. Related variety (spillover effects)
2. Differentiated knowledge bases (synthetic, analytical and symbolic)
3. Distributed knowledge networks
Bjørn Asheim, 2007
Platform policies – Japan’s new cluster
policy:
Ex: Strengthening policies for advanced
component/materials industries
Bjørn Asheim, 2007
Principles of
policies
Types of
Policy
Indirect,
general (framework cond.)
Direct,
general
Direct,
specific
Science policy Basic research in
universities and
research institutes/
(T-H) - IPR policy
Technology
policy
Specific ‘strategic’
technologies and
sectors - public
procurement policy
Innovation
policy
SkatteFUNN
(tax relief) -
Norway
Vinnväxt (T-H)/
VINNOVA –
Sweden (CRA)
TYPOLOGY OF POLICIES
Bjørn Asheim, 2007
Regional Innovation Policy: A Typology
Support: Financial
and technical
Behavioural
change: Learning
to innovate
Financial support Mobility schemes
Firm-focused Brokers
Learning work
organisations
Technology Regional
System-focused centres innovation
systems
Bjørn Asheim, 2007
What is Regional Innovation Systems
(RIS) – narrow definition (human capital
strategic):
A RIS is constituted by two sub-systems and the systemic interaction between them (and with non-local actors and agencies):
The knowledge exploration and diffusing sub-system (universities, technical colleges, R&D institutes, technology transfer agencies, business associations and finance institutions)
The knowledge exploitation sub-system (firms in regional clusters as well as their support industries (customers and suppliers))
Bjørn Asheim, 2007
What is a RIS - broad defintion
(social capital strategic):
A system of organisations and institutions supporting
learning and organisational innovation, and their
interactions with local firms (learning regions):
Developmental (creative) learning: competence
building – learning work organisation
Reproductive (adaptive) learning: interactive learning
(user-producer relationships) – inter-firm networks
A market/demand/user driven system mostly
generating incremental innovations
Bjørn Asheim, 2007
Different modes of innovation and
forms of work organisation and learning
’How Europe’s Economies Learn. Coordinating Competing Models’ : Different modes of innovation and forms of work organisation
1. STI (Science, Technology, Innovation) – high-tech (science push/supply driven) - LME
2. DUI (Doing, Using, Interacting) – Competence building and organisational innovations (learning work organisation) – market/demand/user driven - CME
Different forms of learning
1. Developmental (creative) learning – the ’logic’ of knowledge exploration – learning work organisation
2. Reproductive (adaptive) learning – the ’logic’ of knowledge exploitation
Bjørn Asheim, 2007
Type of
knowledge Type of RIS
Analytical/
science based
Synthetic/
engineering based
Symbolic/
artistic based
Territorially
embedded
(grassroots RIS)
IDs in Emilia-
Romagna
(machinery)
’Advertising
village’ – Soho
(London)
Networked
(network RIS)
Regional clusters –
regional university
(wireless in Aalborg)
Regional clusters –
regional technical
university
(mechanical in
Baden-Württemberg)
Barcelona as the
design city
Regionalised
national
(dirigiste RIS)
Science parks/
technopolis
(biotech, IT)
Large industrial
complex
(Norwegian oil and
gas related industry)
RIS TYPOLOGY