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.
Substantive progress is needed on specific sustainable industrialization indicators.
Countries can pick up their pace with policies based on reliable industrial statistics.
Pledges are mostly tilted towards energy-related emissions, but a broader paradigm shift is needed to fight the climate crisis.
Differences between data sources make it challenging to identify the leaders and laggards in the adoption of industrial robots.
Policy reforms need to address low financial returns which hamper the contribution of FDI to sustainable development.
Innovation can provide swift remedies to the COVID-19 linked recession. Policy should contain incentives to innovate in the long-term.