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Funded by FP7 Co-ordinator: Jonathan Haskel

COINVEST : C ompetitiveness, Innovation and Intangible Investment in Europe Project briefing: who, what and how EU, 28 th May 2008, Brussels. Funded by FP7 Co-ordinator: Jonathan Haskel Queen Mary, University of London: CEPR, CeRiBA, and IZA Website : www.coinvest.org.uk

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Funded by FP7 Co-ordinator: Jonathan Haskel

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  1. COINVEST:Competitiveness, Innovation and Intangible Investment in EuropeProject briefing: who, what and howEU, 28th May 2008, Brussels Funded by FP7 Co-ordinator: Jonathan Haskel Queen Mary, University of London: CEPR, CeRiBA, and IZA Website : www.coinvest.org.uk Email: coinvest@qmul.ac.uk

  2. 1. Who

  3. 1. Who (contd) • Statistics agencies • UK • France • EUKLEMS contacts via Bart van Ark • Other bodies • OECD (Yoshi Tojo) • US (NSF/BEA Innovation Accounting project) • UK (BERR, NESTA Innovation Index project) • Other FP7 projects e.g INNODRIVE

  4. 2. What? Expected results and policy relevance • Intense policy interest in • productivity • innovation record • why the gap with the US • Policy needs • Knowledge economy increasingly important • Data sparse • Activity and Impact on prod and innovation might be hidden by data problems • activity: much inn activity is hidden (e.g. non-scientific R&D, own account) • impact: much inn impact is hidden (accounts treats most intangible investment as an intermedite, so GDP unaffected ) • Results • Improved macro measurement and analysis • Improved micro evidence base

  5. 3. How? Method developed and used: Macro • Macro side: measure activity and impact • Activity • Ongoing SNA work on capitalisation of software and R&D • Broaden to included other intangible categories such as design, training, branding, organisational investment • Impact • Recalculate investment, GDP • Revisit • sources of growth • Productivity levels

  6. How? Method developed and usedMicro • Micro side Exploration of different firm level data sets. • Micro data on firms from CIS etc. • Company accounts • Purchases surveys • Regulation cases • Development better estimates of • Prices • Depreciation • Spending/investment • Informed by matched employer/employee data

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