China’s Provincial Multi-Regional Input-Output Database for 2018 and 2020

The U.S.-China trade friction in 2018 and the COVID-19 pandemic in 2020 have significantly influenced China's domestic supply chains, with their impacts varying considerably across regions and sectors. Multi-regional input-output (MRIO) models are widely used to track supply chains and analyze cross-regional spillover effects, playing a key role in understanding economic linkages and environmental impacts. However, due to data unavailability, existing MRIO tables fail to capture the impact of the U.S.-China trade friction and the COVID-19 pandemic on China's regional supply chains. To address this data gap, we employ hybrid methods to construct Chinese MRIO tables for 2018 and 2020, covering 31 regions and 42 sectors. This dataset is consistent with our previous work on the China provincial MRIO model for the years 2012, 2015, and 2017, offering insights into how regional supply chains and economic structures adapted to the combined impacts of the trade war and the COVID-19 pandemic.

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Publication Details

Journal
Scientific Data
Published
2026-01-05
DOI
https://doi.org/10.1038/s41597-025-06543-y
Citations
1
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
21.83

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China’s Provincial Multi-Regional Input-Output Database for 2018 and 2020

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article

China’s Provincial Multi-Regional Input-Output Database for 2018 and 2020

Diling Liang, Heran Zheng, Q. Ouyang, Zeyi Zhang, Dabo Guan, Peipei Tian, Jie Li
article en
1 citations

Abstract

The U.S.-China trade friction in 2018 and the COVID-19 pandemic in 2020 have significantly influenced China's domestic supply chains, with their impacts varying considerably across regions and sectors. Multi-regional input-output (MRIO) models are widely used to track supply chains and analyze cross-regional spillover effects, playing a key role in understanding economic linkages and environmental impacts. However, due to data unavailability, existing MRIO tables fail to capture the impact of the U.S.-China trade friction and the COVID-19 pandemic on China's regional supply chains. To address this data gap, we employ hybrid methods to construct Chinese MRIO tables for 2018 and 2020, covering 31 regions and 42 sectors. This dataset is consistent with our previous work on the China provincial MRIO model for the years 2012, 2015, and 2017, offering insights into how regional supply chains and economic structures adapted to the combined impacts of the trade war and the COVID-19 pandemic.

Scientific DataVol. 13(1)
Shandong University (CN), Beijing Normal University (CN), University College London (GB), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Environmental Impact and Sustainability
21.83
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