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Benchmarking datasets.

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Benchmarking datasets.

  1. 1. Business and entrepreneurship data sources for LEP benchmarking Prof Stephen Roper Stephen.roper@wbs.ac.uk
  2. 2. 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
  3. 3. 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!
  4. 4. 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 (mark.hart@aston.ac.uk), Jonathan Levie (jonathan.levie@Strath.ac.uk 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
  5. 5. 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.
  6. 6. 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 (hulya.hooker@beis.gov.uk) 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
  7. 7. 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.
  8. 8. 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 (Ian.Drummond@beis.gov.uk) 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)
  9. 9. 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
  10. 10. 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 (k.bonner1@aston.ac.uk) 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
  11. 11. 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
  12. 12. Contact us: • If you would like any more information about the ERC and any of its activities please contact us: Stephen Roper (stephen.roper@wbs.ac.uk), Mark Hart (mark.hart@aston.ac.uk) or Vicki Belt (vicki.belt@wbs.ac.uk). More details about the activities of the ERC and our latest events can be found at: www.enterpriseresearch.ac.uk

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