Industry 4.0: A cornerstone of the Circular Economy
Data-driven systems identify risks and opportunities in circular business models.
Data-driven systems identify risks and opportunities in circular business models.
Effective place-based policies need to deliver desired spatial economic cohesion while minimizing resource waste and secondary distortions.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
Why building future resilience requires a delicate balance between increased flexibility, efficiency and welfare advantages of GVCs.
The reversal of industrialization trends in Sub-Saharan Africa raises hopes about the future of manufacturing in the region.