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Assessing Innovation Systems in Australia Don Scott-Kemmis Innovation Management and Policy Program National Graduate School of Management Australian National University. Evolution of Innovation Systems. NIS a useful concept but not yet a strong framework for analysis and evaluation
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Assessing Innovation Systems in Australia • Don Scott-Kemmis • Innovation Management and Policy Program • National Graduate School of Management • Australian National University
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
The Laggard Perspective on Australia High 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)
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.
Characteristics of Australian Innovation-1 Knowledge Based Resource Industries Conservative Evolution • Scientific strengths • Technological specialisation • Patenting behaviour • Specialisation in export products
Changes in ‘revealed comparative advantage’ in Australian scientific publications output in four periods
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
Australia – major R&D fields of technological skills (RF),2000–01 (% of GDP)
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
Innovation System Evolution Phases Techno-economic opportunity Emergence Growth Renovation Techno-economic problem
A Possible Approach to Functions in the Evolution of Innovation Systems Guide Search Resource supply Reduce social uncertainty Incentives to innovate Identify Problems Create new Knowledge Selection Recognise the potential for growth Facilitate Kn & Info Exchange Stimulate/ create markets Counteract resistance to change Based on Johnson, 2001
Innovation Systems Failure Framework ‘Rules’: System failures Actors – missing actors Demand Compan’s Kn. Org’ns Third Parties Infrastructural failures: Institut’l failure Hard: Soft: Govern’ce Interact’n failure Weak Strong Capabilities failure A Possible Approach to an Innovation Systems Failure Framework Based on Woolthuis et al (2004)
Knowledge Base Actors & Interaction Institutions 1960s Excess capacity major corpns brings prof’l mngmt Dev’t of export market Kn. Old family companies Growth of large local wine companies Breaking out of the euro paradigm 1970 Developing 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 & lobbying Export standards Industry ‘visions’ 1980-2000 Rapid growth Strong kn. base in major firms Kn. sharing. use of int’l Kn. new analytical techniques Increasing scale specialist service providers vocational training. Consolidation of the institutional framework. Systemic Problems and Responses in the Evolution of the Wine Industry
Systemic Problems and Responses in the Evolution of MineralsExploration
Increasing returns Institutional Alignment Standard’n and Reuse of knowledge System Failures (examples) Lack of economies of scale Ad-hoc policies lack 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 Emerging Photovoltaic Innovation Systems
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