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A regional input-output model of the COVID-19 crisis in Italy: decomposing demand and supply factors

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  • Severin Reissl
  • Alessandro Caiani
  • Francesco Lamperti
  • Tommaso Ferraresi
  • Leonardo Ghezzi

Abstract

We propose an empirically estimated inter-regional input-output model of the Italian economy designed for COVID-19 impact assessment, intended as a tool for public authorities facing comparable adverse events and requiring timely estimates of sectoral and regional economic impacts. We evaluate the contributions of demand- and supply-side factors to output losses in Italy during the pandemic, providing insights on the suitability of demand- and supply-side policies. Supply-side shocks, as a consequence of mandated closures, are the primary driver of output losses only during the nationwide lockdown of spring 2020. During the following stages, changes in final demand due to income losses and changes in mobility play a pivotal role at the aggregate, regional, and sectoral levels. While this result supports demand-side policies, the efficacy of such policies may be hampered when final consumption demand is low chiefly due to reduced mobility rather than income losses.

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  • 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.
  • Handle: RePEc:taf:ecsysr:v:36:y:2024:i:1:p:100-130
    DOI: 10.1080/09535314.2023.2213394
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    1. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2022. "Assessing the Economic Impact of Lockdowns in Italy: A Computational Input–Output Approach [Nonlinear Production Networks with an Application to the Covid-19 Crisis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 358-409.
    2. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Vasco Carvalho & Xavier Gabaix, 2013. "The Great Diversification and Its Undoing," American Economic Review, American Economic Association, vol. 103(5), pages 1697-1727, August.
    4. 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.
    5. Erik Dietzenbacher & Bob van Burken & Yasushi Kondo, 2019. "Hypothetical extractions from a global perspective," Economic Systems Research, Taylor & Francis Journals, vol. 31(4), pages 505-519, October.
    6. Adam Rose & Shu‐Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112, February.
    7. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 0. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
    8. Yasuhide Okuyama & Adam Rose, 2019. "Advances in Spatial and Economic Modeling of Disaster Impacts: Introduction," Advances in Spatial Science, in: Yasuhide Okuyama & Adam Rose (ed.), Advances in Spatial and Economic Modeling of Disaster Impacts, chapter 0, pages 1-11, Springer.
    9. Elco Koks & Raghav Pant & Trond Husby & Johannes Többen & Jan Oosterhaven, 2019. "Multiregional Disaster Impact Models: Recent Advances and Comparison of Outcomes," Advances in Spatial Science, in: Yasuhide Okuyama & Adam Rose (ed.), Advances in Spatial and Economic Modeling of Disaster Impacts, chapter 0, pages 191-218, Springer.
    10. Jean-Noël Barrot & Basile Grassi & Julien Sauvagnat, 2021. "Sectoral Effects of Social Distancing," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 277-281, May.
    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. 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.
    13. A. Cetrulo & D. Guarascio & M. E. Virgillito, 2022. "Working from home and the explosion of enduring divides: income, employment and safety risks," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 345-402, July.
    14. Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2022. "Consumer responses to the COVID‐19 crisis: evidence from bank account transaction data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 905-929, October.
    15. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    16. David Baqaee & Emmanuel Farhi, 2020. "Nonlinear Production Networks with an Application to the Covid-19 Crisis," NBER Working Papers 27281, National Bureau of Economic Research, Inc.
    17. Tommaso Ferraresi & Leonardo Ghezzi & Fabio Vanni & Alessandro Caiani & Mattia Guerini & Francesco Lamperti & Severin Reissl & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2021. "On the Economic and Health Impact of the COVID-19 Shock on Italian Regions: A Value Chain Approach," GREDEG Working Papers 2021-18, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    18. Valter Giacinto & Libero Monteforte & Andrea Filippone & Francesco Montaruli & Tiziano Ropele, 2021. "ITER: A Quarterly Indicator of Regional Economic Activity in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 129-147, March.
    19. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    20. Stéphane Hallegatte, 2008. "An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina," Post-Print hal-00716550, HAL.
    21. Eduardo A. Haddad & Fernando S. Perobelli & Inácio F. Araújo & Karina S. S. Bugarin, 2021. "Structural propagation of pandemic shocks: an input–output analysis of the economic costs of COVID-19," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(3), pages 252-270, July.
    22. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    23. Yasuhide Okuyama & Adam Rose (ed.), 2019. "Advances in Spatial and Economic Modeling of Disaster Impacts," Advances in Spatial Science, Springer, number 978-3-030-16237-5, February.
    24. Franke, Reiner, 2009. "Applying the method of simulated moments to estimate a small agent-based asset pricing model," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 804-815, December.
    25. Eliahu Romanoff & Stephen H. Levine, 1986. "Capacity Limitations, Inventory, And Time‐Phased Production In The Sequential Interindustry Model," Papers in Regional Science, Wiley Blackwell, vol. 59(1), pages 73-91, January.
    26. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    27. 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.
    28. Adam Rose, 2004. "Economic Principles, Issues, and Research Priorities in Hazard Loss Estimation," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 2, pages 13-36, Springer.
    29. Yasuhide Okuyama, 2007. "Economic Modeling for Disaster Impact Analysis: Past, Present, and Future," Economic Systems Research, Taylor & Francis Journals, vol. 19(2), pages 115-124.
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