
Innova measure project
About Innova
The Innova measure project:
Econometric analyses and indicators on Research and Innovation
The aim of the “INNOVA MEASURE” projects are to carry out research at the JRC to support the work of the Directorate-General for Research & Innovation of the European Commission by providing better evidence for policy-making.
The currently running INNOVA MEASURE IV project (2019-2020) builds on the outcomes and capacities developed within the framework of the INNOVA MEASURE I-III projects since 2013. The project focuses on three interrelated research streams:
(1) The update and -as necessary- the refinement of the methodologies used for composite indicators measuring research & innovation (R&I) performance. This includes the development, enhancement, and production of composite indicators on R&I (including the Innovation Output Indicator and the adjusted Research Excellence Indicator); it also includes a specific angle in support of the statistical work around the European Innovation Scoreboard, led by DG RTD and GROW;
(2) Improving the availability of evidence on startup and scale-up of innovative firms, with a focus on “the makers of robots”, or companies in the field of artificial intelligence and robotics;
(3) Support to analyses around R&D investments from abroad. This work stream studies European countries and regions as part of a global network of foreign investments in R&I, with the ultimate aim to identify the impact of foreign corporate knowledge ties on local innovation performance. It includes statistical econometric analyses on the internationalization of R&D and on the complex associations between innovation, growth, inequality and competitiveness.
This website helps disseminate the results of past and ongoing work that fall under 3 broad categories:
Explore the reports, scientific papers and composite indicators and download the related datasets generated in the context of the different of the Innova Measure projects!
Indicators
The Innovation Output Indicator
The Innovation Output Indicator (IOI), which is a composite indicator published by the European Commission since 2013 aiming to quantify the extent to which ideas for new products and services carry an economic added value and are capable of reaching the market.
Latest edition: 2018

- Past contents
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Reports & Datasets
- 2017: ec.europa.eu/jrc/en/publication/innovation-output-indicator-2017-methodology-report
- 2016: ec.europa.eu/jrc/en/publication/innovation-output-indicator-2016-methodology-update
- 2014: ec.europa.eu/jrc/sites/jrcsh/files/ioi_methodsology_report_2014.pdf
Methodological origins
Related work
The Adjusted Research Excellence Index
The Adjusted Research Excellence Index is a composite indicator selected by the European Research Area Council (ERAC) as the headline measure to monitor country performance with respect to ERA Roadmap Priority 1, ‘Effective national research systems’. It forms part of the ERA Progress Report.
Latest edition: 2018
The Adjusted Research Excellence Index 2018: Methodology Report

- Past contents
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Methodological origins
- 2015: ec.europa.eu/jrc/en/publication/technical-note-robustness-modified-research-excellence-index-feasibility-study
- 2013: ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/analysis-national-research-systems-i-composite-indicator-scientific-and-technological
- 2012 ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/composite-indicators-research-excellence
Related work
Innovation and enterprise growth
Open for growth? Evidence on EU countries and sectors

The Open Innovation (OI) concept has pervaded the academic and policy debate due to its potential to further stimulate the circulation of knowledge between business partners and institutions and, consequently, to increase their innovation potential. This paper studies the relationships between OI and innovation and economic returns at the ‘aggregate’ level, i.e. at the country and industry levels. It exploits three waves of the Community Innovation Survey to conduct an empirical analysis on sectoral data for 16 EU countries.
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Open for Growth? Evidence on EU countries

The Open Innovation concept has pervaded the academic and policy debate, due to its potential to further stimulate the circulation of knowledge across business partners and institutions and, consequently, to increase their innovation potential. The contribution of this paper is to unveil the economic returns associated to such a model, to answer the main question whether the productivity growth slowdown observed in the EU in recent years could be overcome through a more open and dynamic innovation environment.
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Technology and Employment: Mass Unemployment or Job Creation? Empirical Evidence from European Patenting Firms

This paper explores the possible job creation effect of innovation activity. We analyze a unique panel dataset covering almost 20,000 patenting firms from Europe over the period 2003-2012. The main outcome from the proposed GMM-SYS estimations is the labour-friendly nature of innovation, which we measure in terms of forward-citation weighted patents. However, this positive impact of innovation is statistically significant only for firms in the high-tech manufacturing sectors, while not significant in low-tech manufacturing and services.
The Impact of EU Grants for Research and Innovation on Private Firms’ Performance

The paper assesses the impact of European Union (EU) grants for research and innovation on profit-oriented firms’ productivity. Using a unique dataset on both successful and unsuccessful applicants to the EU’s 7th Framework Programme and balance-sheet data for firms from 46 countries, we show that the EU grants have had a positive impact on firms’ post-treatment productivity.
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High-growth, innovative enterprises in Europe. Counting them across countries and sectors

High-growth, innovative enterprises are a key source of business dynamics, but little is known about their actual share in the enterprise population. This is due to an inherent uncertainty in how to define the threshold that distinguishes high-growth firms from non-high-growth firms – illustrated by the lack of agreement between the definitions applied by Eurostat and the OECD. This explorative study aims to help measure the share of high-growth, innovative enterprises in the European enterprise population, test how the choice of definition affects their share.
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| 2.01 MB |
Sailing through the storms towards Treasure Island: The relationships between strategies, obstacles and firm performance

Companies devise strategies to successfully navigate the treacherous waters of an uncertain business environment. They need to tackle regulatory or market obstacles in order to succeed and eventually achieve strong growth performance. This study aims to better understand the complex relationship between strategies, obstacles and firm performance.
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| 1.45 MB |
Internationalization of R&D
The ERA of International R&D Investments

The internationalization of highly knowledge-intensive activities of multinational enterprises (MNEs) has triggered competition at multiple, interrelated geographical levels. Not merely countries, but urban areas within countries, and regional integration blocs compete to attract activities such as research, development, design or testing. This study assesses the role of local, national and supranational factors influencing MNEs’ decisions about where to locate knowledge-intensive foreign direct investments.
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| 1.41 MB |
The seductive power of Irish rain. Location determinants of foreign R&D investments in European regions

Foreign direct investments (FDI) in research and development (R&D) are important catalysts of economic development. Through a diversity of direct and indirect policy measures, governments compete in attracting such investments. Our study investigates the factors that affect the degree of attractiveness of European regions from the perspective of a company investing abroad based on evidence gathered from all the FDI in R&D realized between 2003 and 2014.
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| 2.57 MB |
An inquiry into the return mobility of scientific researchers in Europe

Against the current of scientific researchers moving to universities and research institutes outside their home countries, there is also an observable flow of researchers who relocate back to their home countries following a foreign stay. The aim of this report is to take stock of conceptual and measurement issues related to this phenomenon, referred to as the “return mobility” of researchers.
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