EconPapers    
Economics at your fingertips  
 

Power relations in European RDI-collaboration networks. Disparities in policy-driven opportunities for knowledge generation in ICT

Marlies Schütz and Rita Strohmaier

Economics of Innovation and New Technology, 2022, vol. 31, issue 3, 209-230

Abstract: Due to their potential for economic growth and development, the enabling technologies of the digital transformation, ICT and complementary fields such as advanced robotics, artificial intelligence and smart systems integration, are high on the innovation policy agenda of the EU. A strong innovative performance of the EU in this technology field depends inter alia on the extent to which the bundling of resources for innovative activities is achieved and disparities in innovative activities between its member states are overcome. Focusing on Horizon 2020, we trace disparities of knowledge generation in ICT across the geographical dimension and the network dimension. We apply descriptive and analytical statistics as well as network analysis to the CORDIS database and connect our findings to the distribution of power between EU member states and other countries associated with Horizon 2020. We then investigate whether there is power-law behaviour in our empirical data. We find a rather unequal distribution of power between countries that manifests in country size, per capita income and member status in the EU. Future innovation policy needs to prioritise a more cohesive and egalitarian European knowledge base in this strategic technology field and cope with the current imbalances in the distribution of power.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/10438599.2020.1799139 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:ecinnt:v:31:y:2022:i:3:p:209-230

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GEIN20

DOI: 10.1080/10438599.2020.1799139

Access Statistics for this article

Economics of Innovation and New Technology is currently edited by Professor Cristiano Antonelli

More articles in Economics of Innovation and New Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:ecinnt:v:31:y:2022:i:3:p:209-230