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.
China's investment activity in Europe during the last decade in light of global changes.
Substantive progress is needed on specific sustainable industrialization indicators.
Countries can pick up their pace with policies based on reliable industrial statistics.
COP26 commitments must now be turned into concrete actions – a complex but urgent task.
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.