Research Policy Volume 50, Issue 7, September 2021
In order to better understand the complex and dialectical relationships between digital technologies, innovation, and skills, it is necessary to improve our understanding of the coevolution between the trajectories of connected digital technologies, firm innovation routines, and skills formation. This is critical as organizations recombine and adapt digital technologies; they require new skills to innovate, learn, and adapt to evolving digital technologies, while digital technologies change the codification of knowledge for productive and innovative activities.
UNU-MERIT Working Papers #2021-023
The paper provides a novel, theoretically driven map of EU regional asymmetries, based on the shares and dynamics of high-tech employment and wages, as well as the structure of inter-regional Input-Output relations at the EU NUTS-1 regional level. We use data from EUROSTAT and the EU-REGIO database to perform a trade-aware shift-share analysis coupled with a hierarchical clustering. We show that EU regions present a fractal structure of asymmetries, i.e. the emergence of core-periphery relations at progressively smaller scales, in relation to both spatial and trade dimensions.