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.
A data-driven approach to address Mexico's industrial policy in a post-pandemic era.
Substantive progress is needed on specific sustainable industrialization indicators.
Countries can pick up their pace with policies based on reliable industrial statistics.
The significance of industrial capabilities for robustness to the pandemic crisis.
The circular economy must be gender-responsive to actively bridge gaps and overcome barriers to ensure a just transition for all.
Advancing the global circular economy agenda requires understanding its linkages with other dimensions of the global production system.