New Report Shows Europe Needs More Strategic High-Tech Investment

European CommissionEurope remains a main knowledge production centre of the world, but lags behind North America and Asia in fast-growing technologies of the future. This is a key conclusion of the latest Innovation Union Competitiveness Report. While Europe continues to lead science and technology for aeronautics, automobiles, clean transport, waste management and renewable energy, the report shows that it risks falling behind in other emerging global growth markets such as health and biotechnology.

European Commissioner for Research, Innovation and Science Máire Geoghegan-Quinn said: "This report rightly highlights Europe's leadership in many key industries, but again pinpoints growing gaps in some key sectors for the future. We cannot afford to fall behind. This is why our next research and innovation programme, Horizon 2020, will support industrial leadership in key technologies as well as fundamental and challenge-based research."

The Innovation Union Competitiveness report is published every two years. Based on a very broad range of indicators, covering all 28 EU Member States and six countries associated to the EU research framework programme, the report contributes to the Europe 2020 Strategy for jobs and growth by providing an in-depth statistical and economic analysis of the research and innovation systems of Europe and its main competitors.

Main findings of the report

At EU level:

  • The EU is facing increasing world competition, in particular at the higher end of global value chains. In 2011, more than 70% of the world's knowledge creation was taking place outside the EU, and half of the world’s scientists and engineers lived outside the EU, US and Japan.
  • However, the EU remains the main centre for knowledge production in the world, accounting for almost a third of the world's science and technology production. It is also an attractive location for R&D investment.
  • Science and technology development in Asia and in the United States is often more strategic than in the EU. It is more focused on transformative technologies oriented toward emerging global markets. The EU's technology assets are more focused on established and traditional industries.

At national level

  • Countries making sustainable efforts in research and innovation have been more resilient to the economic crisis. In Malta, Luxembourg, Estonia, the Czech Republic, Denmark, Germany, Austria, Croatia, Slovenia and Poland, public investments in R&D have been protected or increased in spite of fiscal constraints.
  • Research excellence is the highest in Switzerland, the Netherlands, Denmark, Sweden and Israel.
  • The strongest innovation output is found in Sweden, Germany, Ireland, Luxembourg, Denmark, Finland, the United Kingdom and France.
  • High-growth innovative enterprises are renewing the firm structure not only in innovation leaders like the United Kingdom and Sweden, but also in Bulgaria the Czech Republic, Slovakia, Portugal, Norway, Cyprus, Hungary and Poland.

To view or download copies of the report, please click here:
http://ec.europa.eu/research/innovation-union/pdf/competitiveness_report_2013.pdf

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...