How can the Trade in Value Added (TiVA) dataset inform our understanding about regional or global supply chains, including re-manufactured goods?
Background
The world’s production capability across different sectors may be best understood in terms of global supply chains, for example as R&D takes place in one country and manufacturing in another. Further evidence should inform classification of sectors, measurement of value-addition, and challenge assumptions in our understanding of supply chains.
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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Made in the UK
Unipart Logistics have a cross-sector, nationwide presence in the UK with a portfolio of global blue chip brands it provides logistics and supply chain services for. 'Made in the UK' will conduct a feasibility study and...
Funded by: Innovate UK
Why might this be relevant?
The project focuses on reshoring supply chain activities back to the UK, which aligns with understanding global supply chains.
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Sustainable Supply Chains for SMEs (Green Growth App)
Trade Finance Global (TFG) is the world's leading trade finance platform. We are award-winning\* experts in supporting small and medium-sized businesses/enterprises (SMEs) to access trade finance and grow their businesse...
Funded by: Innovate UK
Why might this be relevant?
The project provides an app for SMEs to optimize their supply chains sustainably, which partially addresses the question about understanding global supply chains.
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Next Generation Manufacture Supply Chains and Economy Research Collaboration (NEX-GEM)
These days, senior managers and academics alike are increasingly concerned with supply chain design and operations in the UK and India with focus on performance excellence and associated costs. The next-generation supply...
Funded by: EPSRC
Why might this be relevant?
The project partially answers the question by focusing on next-generation supply chains and the collaboration between UK and India, but it does not specifically address the Trade in Value Added (TiVA) dataset or re-manufactured goods.