the changing rationale for public funding aldo geuna spru-university of sussex & politecnico di...
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The changing rationale for public funding
Aldo GeunaSPRU-University of Sussex
&Politecnico di Torino
DIMETIC, PECS, JULY 2007
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Content
Traditional rationale: Post-WWII approach.
Changing characteristics of university research.
New rationale: Contractual-oriented approach.
Unintended consequences.
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Post-WWII Rationale
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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
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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).
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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)
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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
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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
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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
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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)
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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
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Changing characteristics of university research.
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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
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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;
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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.
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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);
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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)
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Changing roles of university
1. To reproduce and transmit existing knowledge.
2. 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.
4. To serve training and research support needs of economy (at regional and national levels).
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New rationale: Contractual-oriented approach
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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
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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
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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
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Unintended consequences
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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’
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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
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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?
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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.
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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
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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
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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
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Conclusions
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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’
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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?
P. Dasgupta, and P.A. David, 1994, Toward a New Economics of Science, Research Policy, Vol.23, pp.487-521. P.A. David (1997), ‘From market magic to calypso science policy: A review of Terence Kealey' s The Economic Laws of Scientific Research’, Research Policy, 26, pp. 229-255. A. Geuna (1999) The Economics of Knowledge Production. Funding and the Structure of University Research, Cheltenham: Edward Elgar A. Geuna (2001 ), ‘The Changing Rationale for European University Research Funding: Are there Negative Unintended Consequences’, Journal of Economic Issues, 35, pp. 607-632. A. Geuna, A.J. Salter and W.E. Steinmueller (eds), 2004, Science and Innovation: Rethinking the Rationales for Funding and Governance, Cheltenham: Edward Elgar S. Vincent-Lancrin (2006) ‘What is Changing in Academic Research? Trends and Futures Scenarios’, European Journal of Education, 41, 2, 2006.
www.sussex.ac.uk/Users/prff0/mainpages/home.html : my home page various articles available
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Free markets
cope well overuse
produceless than required
zero price required for efficient use
1. Linear Model of Innovation Scientific knowledge as information
Excludable Non-excludableRivalrous Normal goods Common property
Apples FisheriesDresses Common landTV sets WildlifeComputers AirA seat on an aeroplane
Non-rivalrous Public good(up to capacity) Art galleries Defence
Museums PoliceFenced parks Public informationRoads Broadcast signalsBridges Basic Research