Applications of CIS Database for Innovation Studies Xiaolan Fu Centre for Business Research University of Cambridge.

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Applications of CIS Database for Innovation Studies Xiaolan Fu Centre for Business Research University of Cambridge

Applications of CIS Database for Innovation Studies Innovatibility of SMEs Innovation and Productivity Growth Accounting for Innovation Performance: A Cross Regional Decomposition Innovation in the UK, US and Other EU Countries: Evidence from Linked Survey Data *Collaborative works with Cosh and Hughes.

Innovatibility of SMEs Factors affecting firms’ - Likelihood to innovate - Efficiency of innovation (DEA&SFA) Collaboration (Industry – University) Public support ICT Financial constraints Competition

Innovation and Productivity Growth Linked CIS2 and CIS3 datasets Panel data – capture the dynamics Productivity, Profitability, Turnover growth Continuous innovator / Occasional innovator ? Capital stock

Accounting for Innovation Performance: A Cross Regional Decomposition CIS3: 8172 observations, 12 regions Sources of regional disparities in innovation in the UK: inputs, outputs, productivity Link firm level data in CIS3 with regional level data, eg. regional R&D in university, industry & government, regional human capital, exports, imports, venture capital, etc.

Innovation in the UK, US and Other EU Countries: Evidence from Linked Survey Data Link CIS3 UK with CIS3 for other EU countries and the Cambridge-MIT Innovation Benchmarking project US/UK innovation survey. ? Aggregated EU CIS3 data ? Eurostat technical documents not in detail (treatment of missing values, some aggregation criteria, definition of some variables) ? US weights