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

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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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    1. Henriet, Fanny & Hallegatte, Stéphane & Tabourier, Lionel, 2012. "Firm-network characteristics and economic robustness to natural disasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 150-167.
    2. Sebastian Poledna & Stefan Hochrainer-Stigler & Michael Gregor Miess & Peter Klimek & Stefan Schmelzer & Johannes Sorger & Elena Shchekinova & Elena Rovenskaya & JoAnne Linnerooth-Bayer & Ulf Dieckman, 2018. "When does a disaster become a systemic event? Estimating indirect economic losses from natural disasters," Papers 1801.09740, arXiv.org.
    3. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
    4. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Bonadio, Barthélémy & Huo, Zhen & Levchenko, Andrei A. & Pandalai-Nayar, Nitya, 2021. "Global supply chains in the pandemic," Journal of International Economics, Elsevier, vol. 133(C).
    6. Elco E. Koks & Mark Thissen, 2016. "A Multiregional Impact Assessment Model for disaster analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(4), pages 429-449, October.
    7. Louis De Mesnard, 2009. "Is The Ghosh Model Interesting?," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 361-372, May.
    8. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    9. Harald Fadinger & Jan Schymik, 2020. "The Effects of Working From Home on COVID-19 Infections and Production - A Macroeconomic Analysis for Germany," CRC TR 224 Discussion Paper Series crctr224_2020_167, University of Bonn and University of Mannheim, Germany.
    10. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    11. Jan Oosterhaven & Maaike C. Bouwmeester, 2016. "A New Approach To Modeling The Impact Of Disruptive Events," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 583-595, September.
    12. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 152-167, January.
    13. Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.
    14. Marta Fana & Songul Tolan & Sergio Torrejon Perez & Maria Cesira Urzi Brancati & Enrique Fernandez Macias, 2020. "The COVID confinement measures and EU labour markets," JRC Research Reports JRC120578, Joint Research Centre.
    15. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    16. Andre F. T. Avelino & Sandy Dall'erba, 2019. "Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 85-104, January.
    17. repec:rre:publsh:v:34:y:2004:i:1:p:57-71 is not listed on IDEAS
    18. Hiroyasu Inoue & Yasuyuki Todo, 2020. "The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19," Papers 2003.14002, arXiv.org.
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    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. 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.
    3. Betty Agnani & Ana Isabel Guerra & Ferran Sancho, 2023. "An index of static resilience in interindustry economics," ThE Papers 23/09, Department of Economic Theory and Economic History of the University of Granada..
    4. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. 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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