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![Page 1: Assessing Innovation Systems in Australia Don Scott-Kemmis Innovation Management and Policy Program National Graduate School of Management Australian National.](https://reader035.fdocuments.in/reader035/viewer/2022072114/56649e535503460f94b48f5a/html5/thumbnails/1.jpg)
Assessing Innovation Systems in Australia
Don Scott-Kemmis
Innovation Management and Policy ProgramNational Graduate School of Management
Australian National University
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Evolution of Innovation Systems
NIS a useful concept but not yet a strong framework for analysis and evaluation
Innovation systems approaches challenging to apply in Australia – fragmentation, international links.
Systemic failure can be a driver of evolution
Analysing how innovation systems evolve and respond to failure should give insight into the NIS
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The Laggard Perspective on AustraliaHigh dependence on natural resources- 80% of the top fifteen export
products are resource-based commodities with a low level of processing
Failing to develop new areas of specialisation and growth
Productivity growth in the 90's the result of one-offs: micro-economic & ICT
Weaknesses in new firm formation
The poor performance in R&D and patenting signals the weaknesses in management, scale and international positioning of Australian industry.
Declining position in many ‘high tech’ sectors indicates the extent to which Australia is being left behind the frontier of innovation and growth- Large and growing trade deficit in ICT products and services
One of the lowest in the OECD in – BERD – investment in venture capital;– International patenting activity (per mill. Population)
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The Boom Perspective on Australia
A broadly based dynamic and flexible economy, diversified across markets, and increasingly sectors, underpinned by competitive domestic markets and flexible labour markets.
High-level human resources and strong research organisations facilitate the rapid uptake of new knowledge produced anywhere.
Imported knowledge and equipment combined with local knowledge and capability supports active problem solving and systems integration in a range of sectors generating relatively high levels of productivity.
A ‘fast-user’ strategy combined with natural and human resources is a sound basis for future prosperity.
High and increasing productivity; Relatively high level of public sector R&D; Substantial growth in niches markets in key manufacturing sectors: automobiles
and components, wine, boats. Maintaining strong competitiveness in resources sectors through the effective
application of new technology, including IT; A strong ICT services sector and high growth in ‘knowledge based services’; Rapid and broadly-based uptake of new ICT.
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Characteristics of Australian Innovation-1
Knowledge Based Resource Industries
Conservative Evolution– Scientific strengths– Technological specialisation– Patenting behaviour– Specialisation in export products
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Changes in ‘revealed comparative advantage’ in Australian scientific
publications output in four periods
0.000
0.500
1.000
1.500
2.000Geosciences
Plant and Animal Sciences
Ecology/Environment
Agricultural Sciences
Astrophysics
Psychology/Psychiatry
Immunology
Computer Sciences
Molecular Biology and GeneticsMathematicsClinical Medicine
Biology & Bicohemistry
Neurosciences
Pharmacology
Multidisciplinary
Engineering
Materials Science
Physics
Chemistry
1982-86
1987-91
1992-96
1997-01
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0 0.5
1 1.5
2 2.5
3 3.5
4 4.5
5 Agriculture
Oil & Gas, Mining Power Generation & Dist
Food & Tobacco Textiles & Apparel
Wood & Paper
Chemicals
Pharmaceuticals
Biotechnology
Medical Equipment
Medical Electronics
Plastics, Polym & Rubber Glass, Clay & Cement
Primary Metals Fabricated Metals
Industrial Mach & Tools Industrial Process Equip
Office Equip & Cam Heating, Vent, Refriger Misc Machinery
Computers & Peripherals
Telecommunications
Semiconduct & Electronics
Measurement & Control Equip.
Electrical Appl & Compon
Motor Vehicles & Parts
Aerospace & Parts Other Transport
Misc Manufacturing Other
1980-86 1987-93 1994-2001
Figure 3: Australia’s Revealed Technological Advantage
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Science Linkage vs. Technology Cycle Time (1980-2001)
Denmark
US
Canada
AustraliaUK
Finland
Sweden
Norway
ItalyFrance
GermanyTaiwan
Japan
South Korea
-0.5
0
0.5
1
1.5
2
2.5
3
2 4 6 8 10 12 14 16
Technology Cycle Time (TCT)
Sc
ien
ce
Lin
k (
SL
)
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Characteristics of Australian Innovation-2
Systems Integration Plus
No core technology production Problem solving – but sophisticated Technology mobilisation for resource based
industries and services ICT diffusion through the innovation system
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Australia – major R&D fields of technological skills (RF),2000–01 (%
of GDP)
0 0.02 0.04 0.06 0.08 0.1 0.12
Computer Software
CommunicationTechnology
ManufacturingEngineering
AutomotiveEngineering
Medical & HealthScience
Resource Engineering
Information Systems
Misc. ICT
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Approach to Analysis: Looking at Change.
Sectoral Approach– more or less!
Building Blocks Actors and Networks: interaction,
competences
Knowledge Bases: appropriation, acquisition, increasing returns
Institutions: coordination, incentives, ‘rules of the game’, standards.
Technological structure
Problem solving
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Innovation System Evolution Phases
Growth Renovation
Emergence
Techno-economic opportunity
Techno-economic problem
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Different Stages Need Different Assessment FrameworksKey Challenge Driver Locus of
action
Emergence
Techno-econ insightFirm buildingEstablishing a trajectory
Vision, OpportunityChampions
Entrepreneur
Growth Virtuous circle, System buildingInstitutional complem’y
Increasing returns, SpecialisationComplementaritiesproblems
Entrepreneur, Manager, Kn & info transfer Organisations
Renovation
Addressing systemic failuresUnpackaging the paradigm
Systemic failuresCrises
Entrepreneur, Manager, collaborationExt. actors
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A Possible Approach to Functions in the Evolution of Innovation Systems
Identify Problems
Create new Knowledge
Incentives to innovate
Resource supply
Guide Search
Based on Johnson, 2001
Recognise the potential for
growth
Facilitate Kn & Info
Exchange
Stimulate/ create
markets
Reduce social uncertainty
Counteract resistance to
change
Selection
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A Possible Approach to an Innovation Systems Failure Framework ‘Rules’: System failures
Actors – missing actorsDemand
Compan’s
Kn. Org’ns
Third Parties
Infrastructural failures:
Institut’l failure
Hard:
Soft:
Govern’ce
Interact’n failure
Weak
Strong
Capabilities failure
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Systemic Problems and Responses in the Evolution of the Wine Industry
Knowledge Base Actors & Interaction Institutions
1960sExcess
capacity
major corpns brings prof’l mngmtDev’t of export market Kn.
Old family companiesGrowth of large local wine companies
Breaking out of the euro paradigm
1970Developin
g the robust
product design and the ‘system’
Kn. Based prod’n
Specialisation in all aspects Strong networking Strong training organisations
rural R&D framework.industry associations effective collective action & lobbyingExport standards Industry ‘visions’ 1980-
2000
Rapid growth
Strong kn. base in major firmsKn. sharing. use of int’l Kn.new analytical techniques
Increasing scale specialist service providers
vocational training.
Consolidation of the institutional framework.
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Systemic Problems and Responses in the Evolution of Minerals Exploration
Knowledge Base Actors & Interaction
Institutions
Focusing search
Development of new tools for AustraliaLocalised kn. of geology
survey agencies- survey & store data
Government funded pre-exploration surveys
Resourcing innovation
Sophisticated capital markets for financing exploration
collaborative development of tools
exploration permit systemData standards (JORC) mandatory info sharingTaxation and share market risk funding. Native title
Knowledge
acquisition &
assessment
New tools need a new kn base New tools for visualisation
Specialisation in explorationSpecialisation in riskPublic sector R&D for tools & kn frameworks.Bridging organisations Collab’n for new innov’n
Funding of collaborative programs Major firms more global
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Emerging Photovoltaic Innovation Systems
Increasing returns
Institutional Alignment
Standard’n and Reuse of knowledge
System Failures (examples)
Lack of economies of scale
Ad-hoc policieslack of political & social legitimation Low level of subsides and incentives Excellent science base but policies have limited the level of experimentation
Relevant but fragmented knowledge base -mainly exploited by overseas innovation systems Much of the RAPS based knowledge cannot be applied to urban systems
Lack of industrial actors with resources to bring technology to mass-production Level of incentives to attract large firms Lack of a national climate for supporting renewable energy
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Focus and Change Specialisation and Coordination
-organisations and institutions for bridging, collaboration, coordination
Local problem solving and global search
Focus and Diversity-Co-evolution of supply and demand, -Broad kn & education base ensuring
diversity for perceptions of problems & opportunities, initiating new trajectories problem solving, renovation of knowledge bases