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Simultaneous supply and demand constraints in input–output networks: the case of Covid-19 in Germany, Italy, and Spain

Author

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  • Anton Pichler
  • J. Doyne Farmer

Abstract

Natural and anthropogenic disasters frequently affect both the supply and demand sides of an economy. A striking recent example is the Covid-19 pandemic which has created severe disruptions to economic output in most countries. These direct shocks to supply and demand will propagate downstream and upstream through production networks. Given the exogenous shocks, we derive a lower bound on total shock propagation. We find that even in this best case scenario network effects substantially amplify the initial shocks. To obtain more realistic model predictions, we study the propagation of shocks bottom-up by imposing different rationing rules on industries if they are not able to satisfy incoming demand. Our results show that economic impacts depend strongly on the emergence of input bottlenecks, making the rationing assumption a key variable in predicting adverse economic impacts. We further establish that the magnitude of initial shocks and network density heavily influence model predictions.

Suggested Citation

  • Anton Pichler & J. Doyne Farmer, 2022. "Simultaneous supply and demand constraints in input–output networks: the case of Covid-19 in Germany, Italy, and Spain," Economic Systems Research, Taylor & Francis Journals, vol. 34(3), pages 273-293, July.
  • Handle: RePEc:taf:ecsysr:v:34:y:2022:i:3:p:273-293
    DOI: 10.1080/09535314.2021.1926934
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    Cited by:

    1. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    2. Pichler, Anton & Hurt, Jan & Reisch, Tobias & Stangl, Johannes & Thurner, Stefan, 2024. "Economic impacts of a drastic gas supply shock and short-term mitigation strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    3. Giulio Bottazzi & Daniele Giachini & Eleonora Priori, 2025. "Production Networks, Capital Dynamics, and Heterogeneous Agents," LEM Papers Series 2025/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Tommaso Ferraresi & Leonardo Ghezzi, 2024. "A regional input-output model of the COVID-19 crisis in Italy: decomposing demand and supply factors," Economic Systems Research, Taylor & Francis Journals, vol. 36(1), pages 100-130, January.
    5. Betty Agnani & Ana-Isabel Guerra & Ferran Sancho, 2024. "An index of static resilience in interindustry economics," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-30, December.
    6. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
    7. Fahr, Stephan & Senner, Richard & Vismara, Andrea, 2024. "The globalization of climate change: amplification of climate-related physical risks through input-output linkages," Working Paper Series 2942, European Central Bank.
    8. Matteo Trabucco & Pietro De Giovanni, 2021. "Achieving Resilience and Business Sustainability during COVID-19: The Role of Lean Supply Chain Practices and Digitalization," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    9. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    10. Adelar Fochezatto & Eduardo Rodrigues Sanguinet & Patricia Batistela & Rodrigo Valdes, 2023. "Income Leakage Regional Effects: Supply and Demand Shocks during the Pandemic in Brazil and Chile," Geographies, MDPI, vol. 3(4), pages 1-19, October.
    11. Di Noia, Jlenia & Caiani, Alessandro & Cesarini, Luigi & Arosio, Marcello & Monteleone, Beatrice, 2025. "A high resolution input–output model to assess the economic impact of floods," Journal of Economic Behavior & Organization, Elsevier, vol. 230(C).
    12. Wang, Xiaoyu & Sun, Yanlin & Peng, Bin, 2023. "Industrial linkage and clustered regional business cycles in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 59-72.
    13. Tuong Manh Vu & Ernesto Carrella & Robert Axtell & Omar A. Guerrero, 2025. "The Formation of Production Networks: How Supply Chains Arise from Simple Learning with Minimal Information," Papers 2504.16010, arXiv.org.
    14. Christian Diem & Andr'as Borsos & Tobias Reisch & J'anos Kert'esz & Stefan Thurner, 2021. "Quantifying firm-level economic systemic risk from nation-wide supply networks," Papers 2104.07260, arXiv.org.

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