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.
Big data can help detecting high-potential export products to support diversification.
New evidence offers insights into challenges and opportunities for the creation of high-quality manufacturing jobs in Africa.