Technology and Innovation Centres - Science and Technology Committee Contents


Written evidence submitted by Manchester Institute of Innovation Research, Manchester Business School, University of Manchester (TIC 09)

1.  The Science and Technology Committee announced its inquiry into the Fraunhofer model as a blueprint for Technology Innovation Centres in the UK. This is in response to the concern that, although the UK has a strong science base, it faces challenges in the ability to commercialise science. The argument is that this gap between research findings and their subsequent commercialisation can only be closed by making new technologies ready for the market through a "translational infrastructure" that bridges research and technology commercialisation, such as the adoption of Fraunhofer institutes (Hauser 2010).

2.  In what follows, we argue that Fraunhofer-type institutes can only be a very partial solution. The Fraunhofer institutes are part of the specific institutional framework of the German innovation system, based on a model that has grown over 60 years, and they are successful in tackling the specific system failures of the German system. While the UK innovation system would benefit from a better "translational infrastructure", this has to be devised with an understanding of the UK institutional framework. Indeed, any translational infrastructure needs to be devised carefully to fit the specific opportunities offered by the science and knowledge base. Thus, while Fraunhofer-type institutes might play a role in carefully selected areas, they are not a mechanism to improve the commercialisation of the knowledge base in the UK across the board.

What are the Fraunhofer institutes?

3.  The Fraunhofer institutes are organised within the Fraunhofer Society. The Society was set up in Germany in 1949 and by 2010 has grown into a large organisation of 59 institutes, 17,000 staff and an annual research budget of Euro 1.6 billion. The mission is to carry out applied research for industry and public bodies. The budget has, with minor exceptions, grown steadily in recent years, indicating demand for their activity. The number of institutes experienced a boost in growth after re-unification, when a range of institutes were set up in Eastern Germany. In general, the rationale for setting up new institutes is that demand for contract research in a given field will support an institute after a start-up period. The Fraunhofer institutes are active in ICT, life sciences, microelectronics, materials and components, production, surface technologies and photonics and defense and security (Fraunhofer Society 2010, Meyer-Krahmer 2001, Mina et al 2010).

4.  The safeguard of the Fraunhofer's industry-oriented mission is the funding model: two thirds of the income stems from research contracts (mainly from industry) and one third is institutional funding (of which 90% comes from the Federal Government and 10% from the state or (länder) in which the institute is located in order to establish local buy-in). This applies to the Society and to (most of) the individual institutes and thus ensures incentives to acquire commissioned research from third parties. Provided they meet their financial targets and serve their industrial and public costumers satisfactorily, the institutes have considerable autonomy in terms of research topics and directions. The headquarter interferes mainly at the formation stage (deciding which topics to tackle), in response to crises and offers support with central services. It also supports cooperation across clusters of institutes in areas of strategic importance.

What role do Fraunhofer institutes play in the research and technology system and what are the potential shortcomings?

5.  The institutional context of the Fraunhofer model is illustrated in figure 1 below. Fraunhofer institutes occupy a specific role in a very elaborate division of labour within the German system of research. The universities, still performing by far the bulk of public research, have, for many years, experienced structural challenges, but new initiatives, such as the Excellence Initiative, have increased their strategic performance orientation. Closely linked to universities are the research activities of the Max Planck Society which focus entirely on basic research, particularly in natural sciences, and which are fully institutionally funded. The Helmholtz Institutes are traditionally oriented towards "big science", that is, those activities considered too large for university departments to carry out (eg nuclear research). In general, Fraunhofer institutes are the most application-oriented publicly-funded research organisations and have the highest share of industrial funding. This is also confirmed by patent and publication analysis, showing Fraunhofer leading in patents per staff, but trailing in publication per staff (Heinze and Kuhlmann 2006). Accordingly, Fraunhofer institutes have the lowest share of institutional funding in the German public research system. Thus, the German Fraunhofer institutes fill a gap between basic and strategy research, on the one hand, and industry research and development, on the other hand. They operate in areas in which German industry has a demand for external research, and in which the generation of research results from universities and other more basic-oriented organisations is not sufficient.

Figure 1

THE GERMAN SYSTEM OF RESEARCH


Source: BMBF (2010), p 21

6.  Two main qualifications regarding the nature and performance of the research and technology system in Germany need to be made. First, the great degree of institutional fragmentation in Germany (which is regarded as conducive for reinforcing existing technological strengths) is argued to hinder the flexibility and reaction of the system and hamper the take-up of innovative fields of research that need more integrated approaches (Internationale Kommission 1999). This has led to calls for more open and coordinated structures, which may be important especially in knowledge-intensive technological areas, ie where the development of technological solutions for industry necessitates direct input from leading edge science or in new areas where findings in basic science have immediate application potential.

7.  Second, the Fraunhofer institutes do not so much transfer knowledge from university to industry (here next to traditional means such as licences or start-ups, the German system has a range of other solutions, such as the Steinbeis Centres). Rather, Fraunhofer institutes generate relevant application-oriented knowledge themselves on demand from their clients. While this may often be strongly linked to research in universities (many leading scientists at Fraunhofer institutes are active also in universities), it nevertheless constitute a knowledge creation sub-system of its own.

8.  Thus, when borrowing the Fraunhofer approach with its funding model, policymakers needs to keep in mind that the Fraunhofer only work in areas with clear industrial demand, a willingness to pay and an ability to absorb advanced technological knowledge, and that Fraunhofer institutes in Germany tend to reinforce industrial strengths rather than build up entire new technologies and that they transfer knowledge form the university science base only very indirectly.

Fraunhofer institutes in the specific German industrial landscape

9.  In order to understand the contemporary role of Fraunhofer institutes, it in necessary to place them in their wider country context. Germany was the pioneer of two institutions that are today taken for granted in most advanced innovation systems: the research-oriented university combining education with science advancement and the science-based firms with an in-house R&D department (Keck 1982). But Germany also has a high degree of heterogeneity in industrial governance structures. Not only is it a country of the well-known large vertically integrated enterprises with close ties to universal banks but also has a parallel sector of decentralised highly specialised small- and especially medium-size producers with supporting institutions (Herrigel 1996). The bulk of small and medium-sized firms are not new entrepreneurial ventures, but well established organisations that, over decades, have been successful in driving and adopting technological change, most often in traditional sectors. Those companies have been the breeding ground for the German Mittelstand, a characteristic of the German industrial landscape for centuries. It is this sector of highly specialised and flexible small and medium-sized firms, with technological capability in industries where Germany has a very long tradition of technological strength, that cooperate closely with the Fraunhofer institutes.

Fraunhofer institutes and the UK science and technology system

10.  The innovation and production systems of the UK and Germany are very different. Different institutional frameworks have different advantages to solve the organisation problems of different national innovation strategies. Germany has a decentralised innovation system which has traditionally been described as "diffusion oriented" (Ergas 1987), in contrast to the "mission-oriented" system of the UK (although these characterisations may be blurring in the last 20 years, with German policy now increasingly investing in dedicated high-tech areas). In general, Germany has strength in "deepening" rather than "shifting" the research frontier. Firms (including small and medium-sized ones) in Germany traditionally develop complex innovations along known trajectories (many involving R&D-intensive sectors) in the automobile manufacturing, mechanical engineering and the chemical industry. Germany has more difficulties to enter fundamentally new trajectories in the sectors of IT, biotechnology and new materials (except for its celebrated success in IT with SAP and the more recent development of high-tech ventures, mainly as a result of special measures encouraging high-tech entrepreneurship).

11.  Furthermore, the German innovation system is based on long-term capital, highly cooperative unions and powerful employer associations and effective vocational training systems (Soskice 1997). Strong collaboration between firms, business associations, state agencies and public and private research organisations aid in the development and diffusion of new technological knowledge. Since the 1970s, the major policy orientation especially at Federal level was to support research in thematic programmes mainly through funding cooperation between public research organisation and firms (Verbundforschung) to strengthen collaboration and the flow of information and staff between organisations. By underwriting a lot of the costs of technological research, and involving industry associations in its management, the states encourage the involvement of firms in the public science system. It is this environment, with tradition in cooperation, high absorptive capacity within firms, consensus-based standard-setting, stable shareholding, long term funding and low product market competition, that enables firms to invest in incremental innovation in high quality science-based products especially in engineering and chemicals.

12.  The UK, instead, has a centralised innovation system which supports radical innovation in newly emerging technology (eg biotechnology and new materials), knowledge intensive tradable services and large complex systems where technology is changing rapidly (defense, software and aircraft production). The UK has a very strong science base, second only to the USA in sectors such as medical and life sciences, mathematics and physics (and this is what the UK science and technology system needs to exploit). As in France and the USA, the institutional set up of the UK makes it suitable for policy with definite "missions". But the "mission-oriented" system of the UK has yielded fewer benefits than those of the USA and France and also possibly crowded out a share of private sector R&D. Indirect spin-offs from public procurement have been low (Ergas 1987, Georghiou 2000). Aside from this general characterisation, the UK has a different kind of knowledge and industry structure, investment patterns and trajectories than Germany. This, it appears, leaves Fraunhofer-type models with a much smaller space to fill.

13.  Indeed, in contrast to the German system, the UK system is capital market-dominated, where priority is given to short run profit maximisation and asset trading, which leads to growth of firms through mergers and less investment in fixed capital, R&D and long term incremental innovation. It lags behind countries like Germany in engineering. R&D is concentrated in a few leading firms in leading industries (such as pharmaceuticals) and a large proportion of R&D is funded by foreign firms. Furthermore, not only the number of government institutes has been severely reduced in the last twenty years but also their aim has changed from producing science as a public good, freely available to potential social and economic users to a mode of knowledge creation involving commodification of science and direct relationship with users (Boden et al 2004). The major challenge in this institutional environment is to support the commercialisation of science-based inventions arising from the very productive UK university system, which is inherently a very risky endeavour. Although venture capital is substantial in the UK, it is not focused on early-stage firms, it is prone to herding trends and seeks an early exit. In this context, and because of deep uncertainty surrounding science-based innovation, it may be unwise to leave the responsibility of financing the commercialisation of this research entirely to venture capitalists. Although a good "translational infrastructure" would benefit the commercialisation of research, a comprehensive analysis of how institutional arrangements of science and the links between these institutions and business influence the ability of science-based firms to manage risk, achieve integration and facilitate learning is necessary.

Conclusions: intelligent investment and need for institutional fit

14.  The starting point for improving commercialisation of science is to keep a high level of funding for universities. It has been shown for the USA (the institutional arrangements of science and technology of which are more similar to the UK than those of Germany) that greater investment in science in university (including basic science) have the potential to increase the attractiveness of downstream R&D by reducing risk (Nelson 1982, Pisano 2006). Thus, investing more in the UK universities (which are the most productive in the world, in terms of journal articles produced per millions of pounds spent), would result in greater commercialisation of innovation. Indeed, universities have been shown to be a key contributor to technical progress in industry (Mowery et al 2004). A central challenge for policymakers is the intelligent and adequate design of licensing policies for universities engaged in innovation financed by public funds to ensure greater societal benefits. Broad dissemination of scientific research by universities and encouragement of more inter-disciplinary research and training (typically constrained by the system of grant getting, which supports narrow specialisation) can facilitate the diffusion and commercial application of knowledge. A good example of support for cross-disciplinary research is the development of the Eli and Edythe L. Broad Institute of Harvard and MIT in the USA that brings together scientists from biology, chemistry, mathematics, computer science, physics, engineering and medicine.

15.  Fraunhofer institutes as institutionalised in Germany fit a specific institutional framework and have had a particular history. They are not university centres, but self-standing knowledge and solution producing institutes, with structural incentives to work with and for industry with a strong core funding and an overall supporting structure through a strong headquarter. They cannot simply be interpreted as models to transfer existing knowledge form universities into industry, but rather fill a gap in the ability of public research to respond to immediate needs of strong, largely traditional industry used to working with and financing public research and capable of absorbing that knowledge. The Fraunhofer model is highly successful in this German context, but even in that context there are challenges of potential compartmentalisation and of lack of support for newly emerging technologies.

16.  Thus, to solve the commercialisation challenge in the UK system, it is of limited use to "transplant" these institutes. A set of clearly defined institutes with a long-term mission and with firms that express long-term interest and willingness to engage can be sensible. However, to invest the bulk of scarce resources into the Fraunhofer model might result in high opportunity costs. There are a range of alternatives that fit better the UK research and technology landscape. For example, there seems to be more scope for mid- and long-term collaborative competence centres with mid to long-term financing provided jointly by a set of firms and universities. Those centres may allow flexible arrangements, ranging from long term strategic research agendas shared by all participants to bi-lateral, confidential contracts. They have been introduced successfully in a whole range of countries, including Northern Ireland (www.competence-research-centres.eu). For concrete contract research and problem solving, another German model, the Steinbeis institutes (www.stw.de/en) is much better suited, as it has clear personal and institutional links with the universities, but operates more autonomously and flexibly than a university department.

REFERENCES

BMBF (Federal Ministry for Reserach and Education) (2010) Federal Report on Research and Innovation 2010. Berlin: BMBF.

Boden, R, Cox, D, Nedeva, M And Barker, K (2004) Scrutinising Science: the Changing UK Government of Science, New York: Palgrave.

Ergas, H (1987) Does technology policy matter?, in B R Guile and H Brooks (eds.), Technology and Global Industries: Companies and Nations in the World Economy, Washington DC: National Academic Press.

Fraunhofer Society (2009) Annual Report 2009. München.

Georghiou, L (2001) The United Kingdom national system of research, technology and innovation, in Larédo, P and Mustar, P (eds) Research and Innovation Policies in the New Global Economy: An International Comparative Analysis, Cheltenham: Edward Elgar.

Hauser, H (2009) The Current and Future Role of Technology and Innovation Centres in the UK, Report for Lord Mandelson, Secretary of State, Department for Business Innovation and Skills.

Heinze, T; Kuhlmann, S (2006) Analysis of Heterogeneous Collaboration in the German Research System with a Focus on Nanotechnology. Fraunhofer ISI Discussion Papers Innovation and Policy Analysis 6/2006

Herrigel, G (1996) Industrial Constructions: The Sources of German Industrial Power, Cambridge: Cambridge University Press.

Internationale Kommission (1999) Forschungsförderung in Deutschland. Bericht der Internationalen Kommission zur Systemevaluation der Deutschen Forschungsgemeinschaft und der Max Planck Gesellschaft. Hannover: Volkswagen-Stiftung.

Keck, O (1993) The national system for technical innovation in Germany, in Nelson, R (ed) National Innovation Systems, Oxford: Oxford University Press.

Meyer-Krahmer, F (2001) The German innovation system, in Laredo, P And Mustar, P (eds) Research and Innovation Policies in the New Global Economy, Cheltenham: Edward Elgar.

Mina, A, Connell, D and Hughes, A (2009) Models of Technology Development in Intermediate Research Organisations, CBR Working Paper Series Paper No. 396, Centre for Business Research, University of Cambridge, Cambridge.

Miozzo, M and Walsh, V (2006) International Competitiveness and Technological Change, Oxford: Oxford University Press.

Mowery, D C, Nelson, R R, Sampat, B N and Ziedonis, A A (2004) The Ivory Tower and Industrial Innovation: University-Industry Technology Transfer Before and after the Bayh-Dole Act, Stanford, California: Stanford University Press.

Nelson, R (1982) The role of knowledge in R&D efficiency, Quarterly Journal of Economics, 97 (3), 453-470.

Pisano, G (2006) Science Business, Boston: Harvard Business School Press.

Soskice, D (1997) German technology policy, innovation and national institutional frameworks, Industry and Innovation, 4 (1), 75-96.

Professor Jakob Edler and Professor Marcela Miozzo
Manchester Institute of Innovation Research
Manchester Business School
University of Manchester

November 2010




 
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