Cascading socio-economic and financial impacts of the Russia-Ukraine war differ across sectors and regions

Cornelia Auer*, Francesco Bosello, Giacomo Bressan, Elisa Delpiazzo, Irene Monasterolo, Christian Otto, Ramiro Parrado, Christopher P. O. Reyer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Disruptions in global food and energy trade can trigger cascading socio-economic losses. Financial markets can amplify such losses and generate systemic cross-sectoral effects, e.g. food insecurity. Our methodology links the real economy and financial markets to quantify cascading impacts across sectors and regions and to capture amplification effects by financial markets. Although applicable to any shock on global key commodity trade, we test its effectiveness with the Russia-Ukraine war, which reveals pronounced, regionally and sectorally diverse impacts. Comparing with real data confirms that our approach captures several key impacts of the crisis: the energy price increase in Europe, the strong reaction of European commodity future markets with large benefits for fossil companies (equity values up to +54%) and losses for companies most exposed to the belligerents (up to-6%), and the worsening of food affordability especially in Sub-Saharan Africa, Asia, and Latin America (additionally 10 million people at risk of hunger). Our analysis shows the importance of accounting for cascading risks and amplification effects to strengthen economic, financial, and food system resilience.
Original languageEnglish
Article number194
Number of pages15
JournalCommunications Earth & Environment
Volume6
Issue number1
DOIs
Publication statusPublished - 11 Mar 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Funding

This work has been made possible by the European Commission\u2019s Horizon 2020 program [grant number 821010] (C.A., F.B., G.B., E.D., I.M., C.O., R.P., C.P.O.R.) and the Federal Foreign Office of Germany [grant number AA38220002] and supported by the COST Action CA19139 PROCLIAS (PROcess-based models for CLimate Impact Attribution across Sectors), funded by COST (European Cooperation in Science and Technology, https://www.cost.eu ).

FundersFunder number
European Cooperation in Science and Technology
European Commission’s Horizon 2020 program821010
Federal Foreign Office of GermanyAA38220002

    Fingerprint

    Dive into the research topics of 'Cascading socio-economic and financial impacts of the Russia-Ukraine war differ across sectors and regions'. Together they form a unique fingerprint.

    Cite this