A multi-regional input-output database linking Chinese subnational regions and global economies

Recent efforts of nation states to enhance resilience and restructure global industry, supply chains, and value chains have intensified the dual economic structure that shapes flows at both domestic and international levels. Multi-regional input-output (MRIO) tables provide a quantitative approach to capture inter-regional and inter-sectoral economic flows. Existing MRIO databases mainly consist of international MRIO and subnational MRIO, respectively. However, they lack coupling MRIO tables and thus fail to adequately represent the dual structure of subnational and international trade. In this study, we develop a subnational and international coupling (SIC) MRIO in 2017, covering 30 sectors, 30 provinces in China and 66 countries & economies. We employ macro-level aggregated data, micro-level structural data and large language models (LLMs) to construct the SIC method. Our SIC MRIO captures the interplay between international and subnational economic flows, reflecting the emerging dual structure of production and consumption networks in the global landscape. It can serve as a baseline for future studies of the economic and environmental implications of chains under the dual structure.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-11-07
DOI
https://doi.org/10.1038/s41597-025-06040-2
Citations
4
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
3.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multi-regional input-output database linking Chinese subnational regions and global economies

D’Maris Coffman, Kehan He, Gengzhong Feng, Jiali Zheng et al.
4 citations
Scientific Data
Environmental Impact and Sustainability
3.20
article

A multi-regional input-output database linking Chinese subnational regions and global economies

D’Maris Coffman, Kehan He, Gengzhong Feng, Jiali Zheng, Shouyang Wang, Tao Ma, Zhifu Mi, Minna He, Xiaoqing Hou
article en
4 citations

Abstract

Recent efforts of nation states to enhance resilience and restructure global industry, supply chains, and value chains have intensified the dual economic structure that shapes flows at both domestic and international levels. Multi-regional input-output (MRIO) tables provide a quantitative approach to capture inter-regional and inter-sectoral economic flows. Existing MRIO databases mainly consist of international MRIO and subnational MRIO, respectively. However, they lack coupling MRIO tables and thus fail to adequately represent the dual structure of subnational and international trade. In this study, we develop a subnational and international coupling (SIC) MRIO in 2017, covering 30 sectors, 30 provinces in China and 66 countries & economies. We employ macro-level aggregated data, micro-level structural data and large language models (LLMs) to construct the SIC method. Our SIC MRIO captures the interplay between international and subnational economic flows, reflecting the emerging dual structure of production and consumption networks in the global landscape. It can serve as a baseline for future studies of the economic and environmental implications of chains under the dual structure.

Scientific DataVol. 12(1)
Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Academy of Mathematics and Systems Science (CN), Department of Mathematical Sciences (RU), University College London (GB), Xi'an Jiaotong University (CN), University of Hong Kong (HK), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Environmental Impact and Sustainability
3.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.