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Business and entrepreneurship data sources for LEP benchmarking Prof Stephen Roper [email protected]

Benchmarking datasets

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Business and entrepreneurship data sources for LEP benchmarking

Prof Stephen Roper

[email protected]

ERC – the background

• Established Jan 2013 with a mission to deepen our understanding of ‘what drives SME productivity and growth’.

• Project value is £5.9m (FEC) over five years from consortium of 7 private and public funders (ESRC, BIS, Innovate UK, 4 major Banks via BBA (2013-15) and the British Business Bank (2015-18).

• Research is strongly policy/practice focussed. Impact and engagement agenda is paramount

• ERC is a UK Hub for SME Research with a strong team of world class researchers drawn from 6 University business schools (Warwick, Aston, Imperial, Birmingham, Queen’s Belfast and Strathclyde)

• ERC operates as a ‘virtual centre’ with researchers concentrated in Aston and Warwick and a ‘flying faculty’ model .

2

Introduction

• Aim to provide a brief overview of four business datasets which might be useful for benchmarking or providing background information

• Will focus on data perhaps less used to date and not talk about BRES

• Will cover:– Global Entrepreneurship Monitor– UK innovation survey – Longitudinal Small Business Survey – IDBR and the Business Structure Database

• And I will show you a few new maps!

Global Entrepreneurship Monitor (GEM)

Background • Annual household survey to measure participation

in entrepreneurship. Available annually since 2002.

• Part of an international project, c.60 countries

• UK sample min. 10,000 but boosted in Scotland, Wales and NI

• Annual so data can be pooled over some years to give more representative results for smaller areas

• Each annual survey is separate – no links from year to year so cannot follow up individual stories

• LEP analysis is possible by pooling some years data. Less good for measuring local, year on year trends

• Contacts: Mark Hart ([email protected]), Jonathan Levie ([email protected]

Coverage • Attitudes to entrepreneurship and

established business, general and personal perspective

• Engagement with early stage and established businesses (TEA rates) including social enterprise

• Ambition and innovation (for those engaged in business activity)

• Good range of personal characteristics (gender, ethnicity, age, household) which can help explain entrepreneurship

• No performance data on businesses

Percentage of adult population with ambitious growth plans

Legend

0.6 - 1.0

1.1 - 1.3

1.4 - 1.5

1.6 - 2.5

• GEM provides data on the proportion of adults indicating that they are involved in early stage businesses and aim to grow them to more than 10 employees in five years

• Red are areas with lower growth ambition, green highest

• Source: GEM, pooled data 2003-2015. Data provided by Jonathan Levie.

UK Innovation Survey (UKIS)

Background • Company based survey of innovation, R&D with

some performance data

• Conducted every 2 years with a 3 year reference period – e.g. innovation over the last three years. Part of EU survey. Available since 2002

• Sample structured by region, industry and sizeband and weighted, 10 plus employees

• Around 14,000 observations in each wave.

• Some overlap between surveys (c. 1000) provides longitudinal data

• LEP level analysis is possible but requires new weighting structure and for smaller LEPs coverage may be limited

• Contact: Hooker Hulya ([email protected])

Coverage • R&D and other investments in

innovation e.g. design, IT, training

• Intellectual property protection, e.g. patents trademarks

• Innovation – products, services, organisation, new to the firm and new to the market.

• Cooperation and barriers

• Performance – turnover, employment and exports

Percentage of firms introducing new products or services

Legend

12.00 - 17.00

17.01 - 19.00

19.01 - 24.00

24.01 - 27.00

• UK Innovation survey provides information on the percentage of firms introducing new products or services

• Red the lowest quartile of LEPS, green the highest quartile

• Source: UK Innovation Survey 2013, ERC analysis.

Longitudinal Small Business Survey (LSBS)

Background • New survey (2015) of small businesses (and self-

employed) across the UK

• Central focus of survey is growth and performance but has become more general survey hence coverage

• Telephone survey structured by region, industry and sizeband

• In tradition of BIS Small Business Surveys but much larger (c14000 respondents) and aim to build longitudinal data (2016). A unique feature in this space.

• LEP analysis is feasible but need to be careful as sample sizes are relatively small for some LEPs.

• Contact: Ian Drummond ([email protected])

Coverage • Background to the

entrepreneur or leadership team

• Characteristics of the business and its markets

• Finance (detailed), innovation, barriers, pensions, ambition, exporting behaviour

• Performance data: employment and turnover growth (no GVA)

Ambition to grow -2015

Legend

14.00 - 16.00

16.01 - 24.00

24.01 - 33.00

33.01 - 45.00

• The Longitudinal Small Business Survey provides evidence on the proportion of employers seeking to grow by more than 25 per cent over the next three years.

• Red are areas of lowest growth ambition, green highest

• Source: Longitudinal Small Business Survey, ERC analysis

IBDR and the Business Structure Database (BSD)

Background • IDBR (Inter-departmental Business Register)

includes all firms with PAYE or VAT registered

• Updated from surveys and using data provided by HMRC

• Covers all UK firms including single employee businesses but data coverage is very limited

• BSD links firms to provide longitudinal data to monitor firm growth and survival. Available since 1998

• LEP analysis by sector sizeband is possible as covers all firms. Anonymous survey, however, with no personal details for firms or leadership. Some disclosure rules for small samples.

• Contact (BSD): Karen Bonner ([email protected])

Coverage • Firm sector and location,

ownership flag (UK or external)

• Employment and turnover (no GVA data) and lags may be evident in the data recorded

• BSD used to calculate growth from year to year

• Survival flags and can identify births

Proportion of high growth local units – 2011-2014

Legend

13.11 - 14.48

14.49 - 15.16

15.17 - 16.01

16.02 - 18.64

• BSD allows us to calculate the proportion of local business units which have grown rapidly over 3 years (>20 per cent pa – the OECD definition)

• Red areas have lower proportions of high growth firms, green highest

• Source: BSD, ERC Growth Dashboard

Contact us:

• If you would like any more information about the ERC and any of its activities please contact us: Stephen Roper ([email protected]), Mark Hart ([email protected]) or Vicki Belt ([email protected]).

More details about the activities of the ERC and our latest events can be found at:

www.enterpriseresearch.ac.uk