European Commission's Knowledge Service - Managing Data & Information
European Commission's Joint Research Centre plays a crucial role in managing knowledge to support EU policy making. The Innova Measure projects focus on innovative firm growth, research excellence, and assessing the impact of EU funding on company performance.
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Presentation Transcript
The European Commissions science and knowledge service Joint Research Centre
The JRCs role: Making sense of Data, Information and Knowledge Today s information deluge Fundamental role for the JRC role in managing knowledge in support of EU policy making
The Innova Measure projects Ongoing collaboration with DG RTD since 2011 JRC Competence Centre on Composite Indicators and Scoreboards (collaboration with the Competence Centre on Microeconomic Evaluation) Composite Indicators and Indicator Frameworks Innovation Output; Research Excellence; Support to Innovation Scoreboard: updates & refinements; sensitivity and robustness analysis; Meso- and micro-level studies Innovation and Employment; High-growth, innovative enterprises; Open Innovation; Internationalization of R&D, FDI in R&D Counter-factual impact evaluation of EU FP funding on company performance
Innova Measure III: Overview (2017-2018) WP1 WP2 WP3 WP4 Indicators Innovative firm growth Knowledge- intensive FDI FP Impact Evaluation Research Excellence Widening; ERAC; 2017 2018 EU-US comparison of business dynamics statistics Open Inn & growth comparison of business dynamics statistics Study of FDI and competition comparison of business dynamics statistics Impact of EU FP research funding on enterprise performance Innovation Output Indicator 2017, 2018 EIS/SII Support New evidence on research and innovation performance MACRO-level micro-level
INNOVA MEASURE IV D niel V rtesy 21 November 2018, Brussels
INNOVA MEASURE IV: Overview (2019-2020) WP1 WP2 Growth of innovative enterprises WP3 WP4 STI Indicators, Statistical & Econometric support Europe in the global network of foreign R&I investments Dissemination Res. Exc., IOI, EIS/SII Innovative M&As as indicators of start-up and scale-up activities Robotics, fintech, AI, platform: Identify firms and sectors; Measure performance Data compilation on K-I investment Workshops Input for communication purposes Descriptive analysis (network) Econometric and Statistical Support Impact of K-I investment on Innovation New evidence on research and innovation performance MACRO-level micro-level
INNOVA MEASURE IV: Overview Duration: 2019 Q1 18 months Expected Outcomes: JRC Reports Peer-reviewed publications Country fiches for DG RTD Contribution to DG RTD reports, i.e. the Science, Research and Innovation Progress Report 2020
The aim of the workshop Discuss and sharpen the ideas proposed in an informal environment Understand the state of the art (avoid re-inventing the wheel) Best practices Methods and Datasets available Salient research question and policy issues Identify ways for collaboration
Agenda 9.00 9.30 9.30 9.50 Topic 1: Europe in the global network of knowledge-intensive foreign investments & trade 9.50 10.20 Davide CASTELLANI The ERA of Global Foreign Investments Measuring the extent and effects of R&D internationalization by matching firm and patent data 10.50 11.05 COFFEE Break 11.05 11.35 Bal zs LENGYEL Inventor collaboration and its persistence across European regions 11.35 12.05 Bruno CASELLA UNCTAD work on FDI in the digital economy 12.05 12.25 Giacomo DAMIOLI Research plans within the upcoming Innova Measure IV project 12.35 13.00 Round-table discussion 13.00 14.30 LUNCH at La Saletta Topic 2: Innovation and business dynamics in artificial intelligence and robotization 14.30 15.00 Stefano BIANCHINI Topic 2 introduction: recent evidence and emerging patterns 15.00 15.30 Flavio CALVINO Business dynamics and the digital transformation 15.30 15.45 COFFEE Break 15.45 16.00 D niel V RTESY Research plans within the upcoming Innova Measure IV project 16.00 16.45 Round-table discussion 17.30 Transport leaves the JRC Arrival, registration WELCOME COFFEE D niel V RTESY Overall introduction to workshop; the INNOVA MEASURE projects 10.20 10.50 Bj rn JINDRA
Phone Call Richard Deiss, Tiago Pereira DG RTD, Brussels
INNOVA MEASURE IV: Overview WP1 WP2 Growth of innovative enterprises WP3 WP4 STI Indicators, Statistical & Econometric support Europe in the global network of foreign R&I investments Dissemination Res. Exc., IOI, EIS/SII Innovative M&As as indicators of start-up and scale-up activities Robotics, fintech, AI, platform: Identify firms and sectors; Measure performance Data compilation on K-I investment Workshops Input for communication purposes Descriptive analysis (network) Econometric and Statistical Support Impact of K-I investment on Innovation
Why we care about innovative scale-ups: the EU s lag Non-Employer firms: US lead Employer firms: EU lead
Rate of high-growth enterprises per million inhabitants EU17 vs US (2012)
EU Challenges in scaling up companies Yet, the EU lags the US in terms of... Number and Employment share in large firms Large R&D spenders (Unicorns) EU US gap: micro and small vs. non-employer and medium/large Limits to growth...? Issue of scaling up Ability to accumulate resources
Start-ups and scale-ups in AI, robotization, fintech Interest in high-growth, innovative firms Lack of systematic statistical evidence: Orbis (growth trajectory, but not innovation) poor coverage of even large, young firms; age bias CIS (innovation, but not growth trajectory) The selected few (Crunchbase, EU startup monitor, etc.) Focus on [innovative] M&As as a decisive moment in scaling up Focus on selected innovative activities (transformative, innovative enterprises)
1) Studying Innovative M&As as a potential indicator of start-up and scale-up activity Limits to company growth due to resource constraint: IPO M&A The EU dream = US dream = being acquired by google? test the feasibility of developing an indicator of innovative start-up and scale-up eco- systems based on mergers and acquisitions of young, innovative companies. Conceptually and statistically describe M&As in terms of their knowledge-intensity or innovation identify the age of companies involved (<=> consolidation of mature industries)
A mapping exercise geographical location and industry ...of acquirers of EU companies Is there evidence of a rising share of technology acquisition from emerging countries (more specifically, China) or dominant US technological giants?
2) Study on the growth of robotics, artificial intelligence, fintech companies A supply-side approach: Which firms are the makers of the robots and what is their direct economic impact? Identify based on ... NACE codes? Where are they located? Identify their evolution (value added, sales, employment, productivity, internationalization)
Questions What data to use? ...to identify relevant technologies? ...to identify relevant companies / sectors ? Does sector [NACE] have any relevance? patents? [corporate] Publications? Product exports? Other company-level data (ORBIS or special tabulations from NSOs?) Any experience in linking multiple sources?
Thanks Questions? You can find me at daniel.vertesy@ec.europa.eu Further info:https://composite-indicators.jrc.ec.europa.eu/
