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14-1190b-innovation-managing-risk-evidence

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energy R&D by oil importing nations following oil price<br />

shocks in the 1970s. As oil prices fell through the late 1980s,<br />

interest in energy <strong>innovation</strong> subsided. By 2000, public<br />

spending on energy R&D had declined to 5-10% of its 1980s<br />

peak as a share of GDP 60 . Because <strong>innovation</strong> investments<br />

can take decades to deliver, and require continuity over<br />

time so knowledge and expertise can accumulate, a steady<br />

commitment to <strong>innovation</strong> is likely to produce substantially<br />

better outcomes per dollar.<br />

Monetary rewards — a type of external incentive<br />

— may displace other motivations and norms in the<br />

<strong>innovation</strong> chain. Internal motivations, like the desire<br />

for knowledge and discovery, play a large role in some<br />

parts of the <strong>innovation</strong> chain. These intrinsic or internal<br />

motivations can be “crowded out” by the imposition of<br />

external incentives 61 . External incentives may be particularly<br />

poorly suited to creative endeavours like scientific research.<br />

In particular, they can displace the “soft” institutions that<br />

drive basic research — the bedrock of trust and institutional<br />

norms, such as academic freedom, openness and knowledgesharing<br />

— with a more opportunistic culture 62 . This may<br />

explain why institutional incentive structures affect basic<br />

research outcomes, as discussed in the previous section.<br />

Better understanding of psychology and behaviour<br />

can itself lead to valuable institutional <strong>innovation</strong>s.<br />

Individual choices — including critically important choices<br />

around savings, insurance, healthcare and education —<br />

can be powerfully shaped by seemingly non-rational<br />

psychological factors, with often immense welfare<br />

implications 63 . Behavioural economists (like those in the UK’s<br />

Behavioural Insights Team) use psychological research to<br />

design simple and low-cost interventions to spur sometimes<br />

dramatic changes in behaviour, which can provide rich and<br />

important examples of <strong>innovation</strong>:<br />

• making organ donor programs opt-out instead of opt-in<br />

(which should have no effect in the standard economic<br />

view) 64 ;<br />

• changing the wording on tax payment forms to prime<br />

social norms 65 ; or<br />

• regulating the possible structures of credit card and<br />

banking fees in order to prevent predatory practices 66 .<br />

One of the most important insights concerns the value<br />

of experimental policy design, where randomized control<br />

trials are used to identify the most effective approaches 67 .<br />

Given the importance of incentives, social norms, and<br />

other complex behavioural factors for <strong>innovation</strong> decisions,<br />

<strong>innovation</strong> policymaking should become behaviourally<br />

literate.<br />

(iv) Governments<br />

Governments have a critical and multifaceted role<br />

to play in <strong>innovation</strong>, especially at the medium and<br />

macro scale. Among other things, there is a strong case<br />

for governments to: shape the formation of human capital<br />

through education and training 68 ; carry out and finance<br />

basic research in universities and research centres; support<br />

institutions to link universities and research institutes with<br />

Psychological factors<br />

shape the decisions<br />

people make about<br />

<strong>innovation</strong>.<br />

industry; uphold an efficient, effective and appropriately<br />

constrained intellectual property regime 69 ; and provide<br />

targeted support for innovative activity, both its supply (e.g.<br />

grants and loans for demonstration and deployment of new<br />

technologies) and demand (public procurement, fiscal policy,<br />

regulations/standards, fostering new social norms/values) 70 .<br />

However, governments are ill suited to intervening<br />

in the micro-details of <strong>innovation</strong> processes, and<br />

should avoid being excessively prescriptive. For<br />

example, specifying outcomes that researchers are to<br />

achieve is usually inappropriate given the impossibility of<br />

predicting them. Similarly, constraining researchers within<br />

rigid timeframes, or within incentive systems that demand<br />

“breakthrough” outcomes or commercialization, is likely<br />

to impair researcher creativity. Once the <strong>innovation</strong><br />

infrastructure has been provided, and, broad national<br />

priorities set, innovators should be allowed substantial<br />

leeway to pursue the questions they believe to be important<br />

in the ways they see fit 71 .<br />

Governments have an especially important role<br />

to play in carrying out and financing basic research<br />

and development. Due to the public goods aspects of<br />

basic research, and governments’ high capacity to tolerate<br />

uncertainty and delayed returns on investment, governments<br />

are uniquely suited to carrying out (e.g. through government<br />

research institutes) and financing (e.g. in universities) basic<br />

research. In the UK, the foremost funders of basic research<br />

are the seven Research Councils, which draw around £4.5<br />

billion, or approximately 0.2% of annual GDP, in annual<br />

government funding. The rate of social return to R&D is<br />

extremely challenging to calculate, but importantly, research<br />

typically finds extremely high rates across a variety of<br />

industries—e.g. from 35-100% is typical 72 . This suggests there<br />

is considerable scope to increase basic research spending<br />

and reap large rewards.<br />

Government funding of <strong>innovation</strong> can usefully<br />

extend beyond “letting a thousand flowers bloom”, and<br />

governments have actively shaped the development of<br />

many of today’s most important technologies. In many<br />

areas it is sensible for governments to focus on facilitating<br />

<strong>innovation</strong> by others. This includes looking to foster<br />

outcomes rather than details of methods or technologies<br />

and avoiding “picking winners” in the form of specific firms<br />

and sectors as much as possible, and taking care to avoid<br />

government failure. Yet sometimes it is impossible to avoid<br />

making judgements about <strong>innovation</strong> support priorities<br />

(e.g. in areas of national priority where the private sector<br />

21

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