Multi-regional Input-output Dataset for the UK from 2017 to 2022

Brexit has deeply reshaped the UK's domestic supply chain and its trade linkages with the rest of Europe. However, existing multi-regional input-output (MRIO) databases offer very limited resolutions for the UK, particularly post-Brexit. This paper constructs a time-series MRIO dataset for 12 UK International Territorial Level-1 regions covering 105 sectors and 6 final demand categories from 2017 to 2022. The key features of this dataset include: (1) high industry granularity and up-to-date results; (2) all raw data are sourced from the UK Office for National Statistics (ONS) and are mostly updated on an annual basis. (3) final tables are consistent with official data in terms of values, scope and layout. This dataset supports in-depth analysis of regional supply chains and global value chains, especially the shifts driven by Brexit, COVID-19, refugee waves and international conflicts, along with their economic, social and environmental implications.

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Publication Details

Journal
Scientific Data
Published
2025-12-08
DOI
https://doi.org/10.1038/s41597-025-06377-8
Primary Topic
Regional resilience and development
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-regional Input-output Dataset for the UK from 2017 to 2022

Jing Meng, Heran Zheng, Yafei Wang, Q. Ouyang
Scientific Data
Regional resilience and development
article

Multi-regional Input-output Dataset for the UK from 2017 to 2022

Jing Meng, Heran Zheng, Yafei Wang, Q. Ouyang
article en

Abstract

Brexit has deeply reshaped the UK's domestic supply chain and its trade linkages with the rest of Europe. However, existing multi-regional input-output (MRIO) databases offer very limited resolutions for the UK, particularly post-Brexit. This paper constructs a time-series MRIO dataset for 12 UK International Territorial Level-1 regions covering 105 sectors and 6 final demand categories from 2017 to 2022. The key features of this dataset include: (1) high industry granularity and up-to-date results; (2) all raw data are sourced from the UK Office for National Statistics (ONS) and are mostly updated on an annual basis. (3) final tables are consistent with official data in terms of values, scope and layout. This dataset supports in-depth analysis of regional supply chains and global value chains, especially the shifts driven by Brexit, COVID-19, refugee waves and international conflicts, along with their economic, social and environmental implications.

Scientific DataVol. 13(1)
Beijing Normal University (CN), University College London (GB)
China Scholarship Council
Openalex Percentile: Top 54%
Regional resilience and development
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