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Experimenting with industrial policy: The UK’s 
experience of industrial policy making using 
randomised control trials (RCTs) 
Stephen Roper 
Enterprise Research Centre and Warwick Business School, 
Coventry, CV4 7AL, UK 
Stephen.Roper@wbs.ac.uk
UK policy context 
• 'Dear chief secretary, I'm afraid to tell you there's no money left’. Note left 
for David Laws new Chief Secretary to the UK Treasury elected in 2010. 
Started period of ‘austerity’ government 
• In policy terms: 
– Real terms cuts in public spending 
– Removal of some organisations – notably Regional Development Agencies 
– And, new emphasis on value for money in policy making 
• This latter point has stimulated: 
– Focus on ‘impact’ in public support for science and social science 
– Creation of ‘What Works’ Centres…. 
– More interest in rigorous policy evaluation and RCTs 
• (Also potentially important has been the increasing prominence of 
behavioural economics and the role of the ‘Behavioural Insights team)
More broadly … 
• ‘Experimental methods’ of policy evaluation are well-established in education and 
social policy and development economics. 
• Typically such evaluations involve individual human subjects facing some common 
socio-economic problem, and the random allocation of subjects to a treatment and 
control group. Differences in outcomes between the treatment and control groups are 
then attributed to the effect of the policy intervention 
• In terms of industrial policy, however, experimental policy evaluation approaches 
remain marginal, with non-experimental, ex post policy evaluations remaining the 
norm. 
• Potter and Storey (2007), for example, provide an extensive review of OECD best 
practice without any mention of either the application or potential for experimental 
methods. 
• Similarly, experimental approaches are largely ignored in UK government guidance (BIS, 
2009) and evaluating innovation policy (Laredo, 1997)
Aims of paper 
• Explore the rationale for RCTs in industrial policy design 
and implementation 
• Consider the recent UK history and the four RCTs 
implemented to date 
• Identify some of the implementation and practical 
issues involved 
• Consider questions of interpretation and the nature of 
‘evidence’ for policy evaluation
On experiments … 
• Experimental methods – based on randomised allocation – offer a way of 
avoiding issues of selection rather than correcting ex post (with its attendant 
difficulties) 
• But experiments themselves are subject to series of potential implementation 
issues which can reduce their ‘validity’ (or ability to provide true 
representation of a treatment effect 
• Threats to internal validity – i.e. treatment v control 
– Small sample issues (Bruhn and McKenzie, 2009) 
– Substitution bias (Heckman and Smith , 1995) 
– Signalling bias (e.g. Meuleman and Maeseneire, 2012) 
• Threats to external validity – i.e. in-scheme v not in-scheme 
– Macro biases (information flows, social interaction, norm formation) (Garfinkel et 
al., 1990) 
– Participation bias (differing characteristics) (Burtless, 1995) 
– Randomisation bias (Heckman and Smith, 1995).
… and the importance of replication 
• Issues related to the validity (either external or internal) suggest the potential 
value of triangulation or meta-analytical reviews across a number of RCTs 
• In medicine the Cochrane Library have established routines for assessing the 
quality of individual experiments and for synthesis 
• In the context of medicine, however, interventions are primarily mechanical: a 
treatment which works with one human being is very likely to work with another 
• In industrial support, however, the situation is more complex given the 
heterogeneity of firms, the social and interactive nature of business and the 
importance (and diversity) of the contexts in which firms operate. 
• Internal and external validity may therefore be more difficult to maintain in 
industrial policy RCTs than in medicine. 
• Arguably this means that standards of evidence should also be higher, requiring 
consistent evidence from multiple RCTs from different contexts, before robust 
conclusions should be drawn
Entrepreneurship and innovation 
policy shifts in the UK since 2010 
• Move towards ‘place-based’ policy in entrepreneurship policy; 
innovation policy become more national. De-coupling? 
• Perhaps key change has been closure of Regional Development 
Agencies (which used to do both) 
• Entrepreneurship policy now Local Economic Partnerships (39 in 
England); Innovation policy national agency (InnovateUK or TSB) 
• Also development of ‘Growth Hubs’ intended to provide/co-ordinate 
local services for growth companies 
• Remember too UK part of EU and so EU initiatives such as Horizon 
2020 also potentially important
RCT1: Creative Credits -2010-12 
• Creative Credits: a B2B voucher scheme 
intended to establish innovation 
partnerships between SMEs and creative 
services suppliers, e.g. designers. 
– Manchester City Region – Sept 2009 to 
October 2010 
– 150 Creative Credits worth £4,000 with 
£1,000 firm contribution to stimulate 
collaborative project 
– 672 applications, 22 per cent funded, 
rest to control 
• Outcome measures (measured after 6 and 12 
months): 
– Short-term – project additionality – 
more projects? 
– Longer term 
• output additionality (sales, innovation), 
• behavioural additionality (innovation 
intention), 
• network additionality (partnering 
intention) 
Application 
Randomised 
Creative 
Credit 
150 companies 
No Creative 
Credit 
422 companies 
Follow-up 
12 months 
Follow-up 
12 months
RCT1: Collecting evaluation data – 
in practice 
• Four surveys over two years so 
attrition was a problem – used 
some small financial incentives 
• By survey 4. Treatment -78 per cent 
response (n=117), control group 
52.2 per cent (n= 157) 
• Clearly bias between groups but 
comparison of baseline 
characteristics suggests NO 
systematic bias within groups 
• Longitudinal sample therefore 
considered ‘representative’ and 
preserved internal validity
RCT1: On additionality… 
• Comparison of treatment and control groups suggest: 
• Project additionality - firms receiving Creative Credit were 84 per cent 
more likely to go ahead with their project – a strong positive effect 
• Output additionality – (product/service innovation, process innovation, 
sales growth) - strong positive effect after 6 months, no effect after 12 
months – a transitory effect (and misleading Interim Report) 
• Behavioural and network additionality – no significant effects after either 
6 or 12 months – a negative result 
• Results confirmed by 2-stage Heckman models
RCT2: Growth Vouchers 
• Launched in January 2014 and ends in March 2015. 
Provides subsidised strategic business advice to 
around 20,000 small businesses through randomly 
allocated vouchers. Budget £30m. 
• Each voucher is worth up to £2,000 excluding VAT. It 
can be used to cover half the cost of advice in one 
of five areas: 
– Raising finance and managing cash flow; 
– Recruiting and developing staff; 
– Improving leadership and management skills; 
– Marketing, attracting and keeping customers; and 
– Making the most of digital technology. 
• Firms not getting a voucher will be given some 
more general information on other sources of 
potential support as well as getting access to the 
website with private suppliers of advice. 
• Growth Vouchers may also help to tell us which 
types of advice are most valuable to firms. 
• Plan is to follow up for 2-3 years after the end of 
the period of support. Programme is targeted at 
firms which do not usually use business advice.
RCT3: Growth Impact Pilot 
• March 2014 March 2015 - Aim to 
examine the impact of business 
coaching on growth. Trial linked 
to major government programme 
called ‘Growth Accelerator’. 
• SMEs provided with subsidised 
leadership and management 
training and some then given 
access to additional business 
coaching 
• Coaching linked to access to 
finance, business development or 
innovation 
Enrolment 
Leadership and 
management 
training 
Randomised 
Business 
coaching 
C. 300 firms 
No business 
coaching 
c. 300 firms 
Follow-up 
2 years 
Follow-up 
2 years
RCT4: University Growth 
Vouchers 
• Launching October 2014 – March 2015 with 
target of 1250 SMEs. 
• Aims to test whether firms who receive 
subsidised leadership and management 
education training (10 workshops, 
networking events and mentoring) from six 
UK Business Schools perform better than 
those who have received no business advice. 
• Growth Vouchers the scheme operates on a 
co-funding basis with £2000 Growth 
Voucher per business and the business 
matching this funding. (Business schools are 
receiving some additional funding for 
participation). 
• Analysis planned over two years. Careful 
analysis of attrition to maintain internal 
validity 
Enrolment 
Diagnostic 
Workshop 
Randomised 
Receive Growth 
Voucher 
C. 500 
No Growth 
Voucher 
C. 750 
Follow-up 
2 years 
Follow-up 
2 years
Assessing validity … 
Internal validity External validity 
RCT1: Creative Credits Proven robust Problematic – small 
regional experiment 
RCT2: Growth Vouchers Large numbers should be 
okay but not proven yet 
Larger numbers so should 
be okay – not proven 
RCT3: Growth Impact Pilot Okay. Careful design and 
allocation 
Small sample so may be 
problematic as RCT1 
RCT4: University Growth 
Vouchers 
Okay. Careful design and 
allocation 
Medium sample so may be 
okay – not proven
Implications for the future 
• By 2016 early results from all four RCTs. What will this mean? 
• Actually hard to know! 
• Key questions about whether can preserve internal validity of experiments 
e.g. sample biases and attrition may be a problem in smaller trials (RCT3, 
RCT4). External validity potential issue in all trials (again particularly 
smaller ones) 
• English saying: ‘One swallow doesn’t make a summer’. Similarly might also 
argue that ‘One RCT doesn’t constitute robust evidence’. Do we need 
replication as the Cochrane Review approach suggests? 
• Another key issue is unwarranted generalisation. RCTs can provide good 
evidence on very specific interventions and delivery mode and that is all. 
Not generalizable to all business advice, all mentoring etc. Slight changes 
may improve/upgrade effect. So need to be cautious in interpretation
Conclusions 
• Creative Credits project (RCT1) did suggest feasibility of RCT approach to 
industrial policy: 
– Randomisation - > internal validity 
– Longitudinal monitoring -> captured varying output effects 
– Qualitative work -> generated causal insights 
• UK rapidly developing some experience in this evaluation approach both 
design and operational aspects (and further RCTs planned) 
• Studies have yet to contribute to evidence base but potentially powerful 
addition but …. 
• Need to be somewhat cautious about generalising from single trials and 
also generalising beyond the real ‘test’ provided by the trials.
Thanks 
Contact: 
Stephen.roper@wbs.ac.uk

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Professor Stephen Roper . International Conference . Taiwan. Experimenting with industrial policy: The UK’s experience of industrial policy making using randomised control trials (RCTs)

  • 1. Experimenting with industrial policy: The UK’s experience of industrial policy making using randomised control trials (RCTs) Stephen Roper Enterprise Research Centre and Warwick Business School, Coventry, CV4 7AL, UK Stephen.Roper@wbs.ac.uk
  • 2. UK policy context • 'Dear chief secretary, I'm afraid to tell you there's no money left’. Note left for David Laws new Chief Secretary to the UK Treasury elected in 2010. Started period of ‘austerity’ government • In policy terms: – Real terms cuts in public spending – Removal of some organisations – notably Regional Development Agencies – And, new emphasis on value for money in policy making • This latter point has stimulated: – Focus on ‘impact’ in public support for science and social science – Creation of ‘What Works’ Centres…. – More interest in rigorous policy evaluation and RCTs • (Also potentially important has been the increasing prominence of behavioural economics and the role of the ‘Behavioural Insights team)
  • 3. More broadly … • ‘Experimental methods’ of policy evaluation are well-established in education and social policy and development economics. • Typically such evaluations involve individual human subjects facing some common socio-economic problem, and the random allocation of subjects to a treatment and control group. Differences in outcomes between the treatment and control groups are then attributed to the effect of the policy intervention • In terms of industrial policy, however, experimental policy evaluation approaches remain marginal, with non-experimental, ex post policy evaluations remaining the norm. • Potter and Storey (2007), for example, provide an extensive review of OECD best practice without any mention of either the application or potential for experimental methods. • Similarly, experimental approaches are largely ignored in UK government guidance (BIS, 2009) and evaluating innovation policy (Laredo, 1997)
  • 4. Aims of paper • Explore the rationale for RCTs in industrial policy design and implementation • Consider the recent UK history and the four RCTs implemented to date • Identify some of the implementation and practical issues involved • Consider questions of interpretation and the nature of ‘evidence’ for policy evaluation
  • 5. On experiments … • Experimental methods – based on randomised allocation – offer a way of avoiding issues of selection rather than correcting ex post (with its attendant difficulties) • But experiments themselves are subject to series of potential implementation issues which can reduce their ‘validity’ (or ability to provide true representation of a treatment effect • Threats to internal validity – i.e. treatment v control – Small sample issues (Bruhn and McKenzie, 2009) – Substitution bias (Heckman and Smith , 1995) – Signalling bias (e.g. Meuleman and Maeseneire, 2012) • Threats to external validity – i.e. in-scheme v not in-scheme – Macro biases (information flows, social interaction, norm formation) (Garfinkel et al., 1990) – Participation bias (differing characteristics) (Burtless, 1995) – Randomisation bias (Heckman and Smith, 1995).
  • 6. … and the importance of replication • Issues related to the validity (either external or internal) suggest the potential value of triangulation or meta-analytical reviews across a number of RCTs • In medicine the Cochrane Library have established routines for assessing the quality of individual experiments and for synthesis • In the context of medicine, however, interventions are primarily mechanical: a treatment which works with one human being is very likely to work with another • In industrial support, however, the situation is more complex given the heterogeneity of firms, the social and interactive nature of business and the importance (and diversity) of the contexts in which firms operate. • Internal and external validity may therefore be more difficult to maintain in industrial policy RCTs than in medicine. • Arguably this means that standards of evidence should also be higher, requiring consistent evidence from multiple RCTs from different contexts, before robust conclusions should be drawn
  • 7. Entrepreneurship and innovation policy shifts in the UK since 2010 • Move towards ‘place-based’ policy in entrepreneurship policy; innovation policy become more national. De-coupling? • Perhaps key change has been closure of Regional Development Agencies (which used to do both) • Entrepreneurship policy now Local Economic Partnerships (39 in England); Innovation policy national agency (InnovateUK or TSB) • Also development of ‘Growth Hubs’ intended to provide/co-ordinate local services for growth companies • Remember too UK part of EU and so EU initiatives such as Horizon 2020 also potentially important
  • 8. RCT1: Creative Credits -2010-12 • Creative Credits: a B2B voucher scheme intended to establish innovation partnerships between SMEs and creative services suppliers, e.g. designers. – Manchester City Region – Sept 2009 to October 2010 – 150 Creative Credits worth £4,000 with £1,000 firm contribution to stimulate collaborative project – 672 applications, 22 per cent funded, rest to control • Outcome measures (measured after 6 and 12 months): – Short-term – project additionality – more projects? – Longer term • output additionality (sales, innovation), • behavioural additionality (innovation intention), • network additionality (partnering intention) Application Randomised Creative Credit 150 companies No Creative Credit 422 companies Follow-up 12 months Follow-up 12 months
  • 9. RCT1: Collecting evaluation data – in practice • Four surveys over two years so attrition was a problem – used some small financial incentives • By survey 4. Treatment -78 per cent response (n=117), control group 52.2 per cent (n= 157) • Clearly bias between groups but comparison of baseline characteristics suggests NO systematic bias within groups • Longitudinal sample therefore considered ‘representative’ and preserved internal validity
  • 10. RCT1: On additionality… • Comparison of treatment and control groups suggest: • Project additionality - firms receiving Creative Credit were 84 per cent more likely to go ahead with their project – a strong positive effect • Output additionality – (product/service innovation, process innovation, sales growth) - strong positive effect after 6 months, no effect after 12 months – a transitory effect (and misleading Interim Report) • Behavioural and network additionality – no significant effects after either 6 or 12 months – a negative result • Results confirmed by 2-stage Heckman models
  • 11. RCT2: Growth Vouchers • Launched in January 2014 and ends in March 2015. Provides subsidised strategic business advice to around 20,000 small businesses through randomly allocated vouchers. Budget £30m. • Each voucher is worth up to £2,000 excluding VAT. It can be used to cover half the cost of advice in one of five areas: – Raising finance and managing cash flow; – Recruiting and developing staff; – Improving leadership and management skills; – Marketing, attracting and keeping customers; and – Making the most of digital technology. • Firms not getting a voucher will be given some more general information on other sources of potential support as well as getting access to the website with private suppliers of advice. • Growth Vouchers may also help to tell us which types of advice are most valuable to firms. • Plan is to follow up for 2-3 years after the end of the period of support. Programme is targeted at firms which do not usually use business advice.
  • 12. RCT3: Growth Impact Pilot • March 2014 March 2015 - Aim to examine the impact of business coaching on growth. Trial linked to major government programme called ‘Growth Accelerator’. • SMEs provided with subsidised leadership and management training and some then given access to additional business coaching • Coaching linked to access to finance, business development or innovation Enrolment Leadership and management training Randomised Business coaching C. 300 firms No business coaching c. 300 firms Follow-up 2 years Follow-up 2 years
  • 13. RCT4: University Growth Vouchers • Launching October 2014 – March 2015 with target of 1250 SMEs. • Aims to test whether firms who receive subsidised leadership and management education training (10 workshops, networking events and mentoring) from six UK Business Schools perform better than those who have received no business advice. • Growth Vouchers the scheme operates on a co-funding basis with £2000 Growth Voucher per business and the business matching this funding. (Business schools are receiving some additional funding for participation). • Analysis planned over two years. Careful analysis of attrition to maintain internal validity Enrolment Diagnostic Workshop Randomised Receive Growth Voucher C. 500 No Growth Voucher C. 750 Follow-up 2 years Follow-up 2 years
  • 14. Assessing validity … Internal validity External validity RCT1: Creative Credits Proven robust Problematic – small regional experiment RCT2: Growth Vouchers Large numbers should be okay but not proven yet Larger numbers so should be okay – not proven RCT3: Growth Impact Pilot Okay. Careful design and allocation Small sample so may be problematic as RCT1 RCT4: University Growth Vouchers Okay. Careful design and allocation Medium sample so may be okay – not proven
  • 15. Implications for the future • By 2016 early results from all four RCTs. What will this mean? • Actually hard to know! • Key questions about whether can preserve internal validity of experiments e.g. sample biases and attrition may be a problem in smaller trials (RCT3, RCT4). External validity potential issue in all trials (again particularly smaller ones) • English saying: ‘One swallow doesn’t make a summer’. Similarly might also argue that ‘One RCT doesn’t constitute robust evidence’. Do we need replication as the Cochrane Review approach suggests? • Another key issue is unwarranted generalisation. RCTs can provide good evidence on very specific interventions and delivery mode and that is all. Not generalizable to all business advice, all mentoring etc. Slight changes may improve/upgrade effect. So need to be cautious in interpretation
  • 16. Conclusions • Creative Credits project (RCT1) did suggest feasibility of RCT approach to industrial policy: – Randomisation - > internal validity – Longitudinal monitoring -> captured varying output effects – Qualitative work -> generated causal insights • UK rapidly developing some experience in this evaluation approach both design and operational aspects (and further RCTs planned) • Studies have yet to contribute to evidence base but potentially powerful addition but …. • Need to be somewhat cautious about generalising from single trials and also generalising beyond the real ‘test’ provided by the trials.