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.
An assessment of the value capture of circularity drawing on the forestry-cellulose-paper value chain in Latin America.
The diaspora can support the country’s diversification and foster its economic integration into global value chains.
The circular economy must be gender-responsive to actively bridge gaps and overcome barriers to ensure a just transition for all.
Joint efforts between local and foreign solution suppliers are indispensable to decrease common pollutants across industries.
Effective place-based policies need to deliver desired spatial economic cohesion while minimizing resource waste and secondary distortions.
Advancing the global circular economy agenda requires understanding its linkages with other dimensions of the global production system.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.