Supply-chain-aware input–output tables: reintroducing wholesale and retail flows

The COVID-19 pandemic and the Suez Canal blockage have shown how disruptions to wholesalers, retailers, and logistics intermediaries can ripple across entire economies. Yet the input–output (IO) tables commonly used to study such cascading effects abstract these intermediaries away: they record only the margins charged by traders, not the products flowing through them. We develop a method to reintroduce these wholesale and retail flows into national IO tables, using Eurostat data calibrated against Austrian trade statistics. The resulting supply-chain IO (SC-IO) tables cover 22 European countries over 2011–2020, preserve national accounting identities, and align more closely with firm-level business statistics than standard IO tables. Applied to a hypothetical disruption of food wholesaling in Austria, they yield economic loss estimates several times larger than standard IO tables. The SC-IO tables provide a building block for resilience analysis, agent-based modeling, and policy assessment of trade and logistics disruptions.

Authors

Institutions

Publication Details

Journal
Economic Systems Research
Published
2026-10-16
DOI
https://doi.org/10.1080/09535314.2026.2726752
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Supply-chain-aware input–output tables: reintroducing wholesale and retail flows

Sebastian Poledna, Célian Colon
Economic Systems Research
Supply Chain Resilience and Risk Management
article

Supply-chain-aware input–output tables: reintroducing wholesale and retail flows

Sebastian Poledna, Célian Colon
article en

Abstract

The COVID-19 pandemic and the Suez Canal blockage have shown how disruptions to wholesalers, retailers, and logistics intermediaries can ripple across entire economies. Yet the input–output (IO) tables commonly used to study such cascading effects abstract these intermediaries away: they record only the margins charged by traders, not the products flowing through them. We develop a method to reintroduce these wholesale and retail flows into national IO tables, using Eurostat data calibrated against Austrian trade statistics. The resulting supply-chain IO (SC-IO) tables cover 22 European countries over 2011–2020, preserve national accounting identities, and align more closely with firm-level business statistics than standard IO tables. Applied to a hypothetical disruption of food wholesaling in Austria, they yield economic loss estimates several times larger than standard IO tables. The SC-IO tables provide a building block for resilience analysis, agent-based modeling, and policy assessment of trade and logistics disruptions.

Economic Systems Research
Austrian Institute of Economic Research (AT), International Institute for Applied Systems Analysis (AT)
Oesterreichische Nationalbank
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Supply Chain Resilience and Risk Management
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.