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The changing rationale for public funding. Aldo Geuna SPRU-University of Sussex & Politecnico di Torino. DIMETIC, PECS, JULY 2007. Content. Traditional rationale: Post-WWII approach. Changing characteristics of university research. New rationale: Contractual-oriented approach.
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The changing rationale for public funding Aldo Geuna SPRU-University of Sussex & Politecnico di Torino DIMETIC, PECS, JULY 2007
Content • Traditional rationale: Post-WWII approach. • Changing characteristics of university research. • New rationale: Contractual-oriented approach. • Unintended consequences.
The post-1945 rationale • Public good • Linear process • Budgetary expansion • Academic quality increasing with funding • Ex-ante judgement of research promises • Evaluation by academic community
Market-failure - Public good • Nelson (1959) and Arrow (1962) laid foundations of economics of science • Emphasised certain characteristics of scientific knowledge as a public good: • non-rival – others can use the knowledge without detracting from the knowledge of the producers • non-excludable – other firms cannot be stopped from using the information MORE • expansibility- The possibilities of multiple transfers make it possible to distribute information very widely without loss. => • Non-appropriable at least completely (see patents).
Market-failure - Public good • Also long timescale of basic research while firms usually have short-term investment perspective • Private benefits less than social benefits • Social benefits also wider than private benefits • Firms would not have invested in research on e.g. smoking-cancer link, ozone hole, global warming • Firms therefore tend to under-invest in research (less than socially optimal – free riding)
Market-failure - Public good • To raise research funding to socially optimum level, government needs to invest • Main product from govt-funded research = economically useful information, freely available to all • By increasing funds for basic research, govt can expand the pool of economically useful information • This information published – assumed to be durable and costless to use • Close connection between university teaching and research means universities also produce graduates with up-to-date knowledge and skills
Linear model • Scientific discoveries in early 20th Century & WW2 belief in linear model of innovation • Basic research App. res. Devlpt Innovation • Government responsibility = to fund basic research – will eventually wealth, health & nat. security • Contract not very explicit re exact form of benefits nor when • Used to justify substantial increases in gov’t funding • Viewed as investment in future welfare
V Bush ‘Social Contract’: The endless frontier • Science also seen as inherently unpredictable (‘serendipity’), ex-ante judgment. • Scientists in best position to judge which research best to fund. • Essential characteristics of V Bush social contract • high level of autonomy – few strings attached • institutionalisation of peer review to allocate funds • belief that basic research best done in universities
Main funding mechanisms • Institutional core funding for universities (not US) – general university funding (GUF) • block grant for teaching and research • allocated on incremental or formula basis • provides funding for research infrastructure (labs, equipments, technicians, libraries etc.) – “the well found laboratory” • Project funding • for specific research projects – additional costs • proposals submitted – ‘responsive mode’ • judged by peer review • funding decision by committee of scientists (often discipline-based)
What about mission-oriented research? • Ignores university research funded by government departments and ‘mission-oriented’ agencies • e.g. defence, health, energy, agriculture, space • Areas chosen reflected political priorities - ‘demand-pull’ model • US – defence, space, health • Japan – agriculture, energy • UK – defence, aerospace • France – defence, nuclear energy • ‘Mission-oriented research’ (cf. curiosity-oriented’) • very large funding (especially in US but also UK and F) • not just confined to technical universities
Changes in 1980s – 1990s • Driving forces • Economic problems (recession, inflation,1970s) • Growing costs of welfare state – health, education, social security • Liberal versus social-democratic views of government (new public management; the EURO) • Globalisation and growing economic competition • Growing importance of scientific and technological knowledge – the ‘knowledge economy’ • ‘Massification’ of HE • Growing cost of research
Changing public research systems • Governments introduced new/revised policies: • To enhance quality and efficiency of public research; • To stimulate business investment in research; • To strengthen research links/collaboration between public and private sectors (e.g. U-I, sc-industry); • To increase supply of QSEs;
Changing public research systems • To adapt to needs of service sector (increasingly important in OECD countries); • To achieve a target level of R&D spending (e.g. 3% in EU); • To fund research in priority fields; • To stimulate public understanding/engagement.
Changing public research systems • Reforms aiming to make the contribution of public research systems more effectively to innovation (were they successful?): • Universities given increased autonomy and/or transformed into quasi-private agencies (e.g. Italy, Japan, Denmark, Slovak Republic); • Decreased reliance on block funding and more on competitive project funds; • More emphasis on evaluation of HEIs and PROs (RAE early developed in the Uk/NL);
Changing public research systems • More emphasis on mobility of students and researchers; • Encouragement to protect and exploit intellectual property (IP); • Changes to IPR for universities and public research organisations (e.g. Germany, Denmark, Norway, Switzerland) • Technology/knowledge transfer made formal ‘third mission’ of universities (e.g. UK, Denmark, Norway) • Growth in patents during 1990s although slowed since 2000 (see role play)
Changing roles of university 1. To reproduce and transmit existing knowledge. • To improve critical reasoning and other skills • of individuals: • (i) as input to their work; (ii) to develop democratic, civilised society. 3. To increase knowledge base: (i) by pursuing knowledge ‘for its own sake’; (ii) by developing useful knowledge. To serve training and research support needs of economy (at regional and national levels).
The contractual-oriented approach 1 • Implementation: • Competitive mechanisms for resource allocation • Financial quasi-market incentives to steer university behaviour to meet societal needs and increase efficiency • Policies to increase selectivity and concentration • GUF declined in relative terms, and in some cases (e.g. UK, Australia) now allocated on basis of performance
The contractual-oriented approach 2 • Project-based funding increased in importance • Shift from responsive mode to directed programmes and to research linked to needs of ‘users’ • Growing emphasis on ex post evaluation • New government funding initiatives based on ‘challenges’ and competition e.g. Joint Infrastructure Fund
The contractual-oriented approach 3 • Implicit assumptions • Possible to evaluate quality of research output reliably • Possible to identify most promising research avenues • Costs can be reduced without sacrificing quality • Due to existence of economies of scale and scope, concentration increases output of overall system • Admin and other costs associated with more competitive system are small cf. benefits
Unintended consequences of the new rationale 1. Increased concentration of resources 2. Disproportionate incentives for short-term research 3. Conflicting incentive structures 4. Exacerbation of ‘Matthew effect’
Increased concentration of resources • Resources increasingly concentrated in few leading research universities (and M&A) • Implicit assumption that there are economies of scale/scope • But no strong empirical evidence for economies of scale/scope in university production • Either for research itself at level of department or institution (but ‘critical mass’ effect at level of group) • Or for joint production of teaching and research • Some scale economies for teaching and admin, and hence perhaps indirect benefits for research
Increased concentration of resources • Adverse consequences • Fewer resources in lower ranked departments/ institutions to support new ideas and new people; decreased diversity may be detrimental to research in longer term, even if more ‘efficient’ in short term • What about mobility of students and researchers?
Increased concentration of resources • Lower ranked institutions less able to contribute to meeting regional needs • Temptation to undercharge, bidding for funds on added rather than full-cost basis – driving down prices to detriment of universities (become financially overstretched, staff overworked); evaluation of real opportunity costs; centrality of overheads.
Disproportionate incentives for short-term research • Evaluations tend to focus on short term e.g. publications in last few years • Emphasis on addressing needs of users may lead to neglect of longer-term research • Lack of incentives for long-term, path-breaking, ‘risky’ research • Decreased variety of research lowers probability of scientific novelty
Conflicting incentive structures • Different competitive funding schemes may create conflicting incentive structures • e.g. high-quality publications for RAE VS helping ‘users’ • Weakened teaching incentives • Traditional academic incentive structure (‘open science’) in conflict with private-oriented incentive structure linked to business-financed research: • Work with industry may bring problems of secrecy, delay in publication etc. • Risk that incentive structure of subsidiary source of funds may dominate university research behaviour
Exacerbation of ‘Matthew effect’ • Merton (1968) – success in research brings status and funding – further increases chances of future success • “To them that hath shall be given” – the ‘Matthew effect’ • Evidence shows very small proportion of researchers produce large share of most influential publications • ‘New economics of science’ (e.g. David) elaborated this in terms of path-dependence and self-reinforcing mechanisms (e.g. ‘increasing returns’) • Growing range of uncoordinated funding sources reinforces cumulative, self-reinforcing process • Means that researchers at lower-status universities locked into a ‘vicious circle’ as compete for resources and status – again lowers diversity
Conclusions 1 • Post-1945 rationale based on science-push model – simple, convenient, very successful • Significant changes in ~1980s (1990s/2000s depending on the country) • Switch to (or coexistence with) new rationale and more explicit ‘social contract’
Conclusions 2 • Used to justify increasing investment in research but comes with more ‘strings’ attached • Although could enabled science to be used more effectively as input to technology and innovation, also had important unintended consequences • Do the benefits outweigh the costs?
www.sussex.ac.uk/Users/prff0/mainpages/home.html : my home page various articles available
Linear Model of InnovationScientific knowledge as information cope well overuse Free markets zero price required for efficient use produce less than required