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A method for regionalization of input-output table for multi-regional disruption analysis

Xiuke Tang et al.

Spatial Economic Analysis2026https://doi.org/10.1080/17421772.2025.2604844article
AJG 2ABDC B
Weight
0.50

What the paper says

Multi-regional input-output (MRIO) models depict a fairly complete picture of interdependencies across various industrial/infrastructure sectors and across multiple regions within an advanced economy. They enable the analysis of potential losses across sectors/regions when disruption occurs over one or more regions, supporting decision-makers in economic and infrastructure planning for a resilient city/state. This paper outlines different types of input-output tables, detailing their construction methods, and subsequently proposes a much less data-constrained regionalisation framework for constructing MRIO tables by leveraging accessible datasets. The accuracy of the approach is validated through comparisons with case studies involving the Beijing–Tianjin–Hebei agglomeration.

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https://doi.org/https://doi.org/10.1080/17421772.2025.2604844

Or copy a formatted citation

@article{xiuke2026,
  title        = {{A method for regionalization of input-output table for multi-regional disruption analysis}},
  author       = {Xiuke Tang et al.},
  journal      = {Spatial Economic Analysis},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/17421772.2025.2604844},
}

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A method for regionalization of input-output table for multi-regional disruption analysis

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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