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.
Impacts of the pandemic on the labour market and recommendations for gender-inclusive industrial policy.
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.
An analysis of regional S3 strategies implemented in the EU to determine their impact and factors influencing effectiveness.
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.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.