On the employment and health impact of the COVID-19 shock on Italian regions: a value chain approach

REFERENCES

• Avelino, A. F. T., & Hewings, G. J. D. (2019). The challenge of estimating the impact of disasters: Many approaches, many limitations and a compromise. In Y. Okuyama & A. Rose (Eds.) Advances in spatial and economic modeling of disaster impacts (pp. 163–189). Springer.
   Google Scholar
• Bailey, D., Clark, J., Colombelli, A., Corradini, C., Propris, L. D., Derudder, B., Fratesi, U., Fritsch, M., Harrison, J., Hatfield, M., Kemeny, T., Kogler, D. F., Lagendijk, A., Lawton, P., Ortega-Argilés, R., Otero, C. I., & Usai, S. (2020). Regions in a time of pandemic. Regional Studies, 54(9), 1163–1174. https://doi.org/10.1080/00343404.2020.1798611
   Web of Science ®Google Scholar
• Baldwin, R., & Freeman, R. (2021). Risks and global supply chains: What we know and what we need to know (Working Paper No. 29444). National Bureau of Economic Research (NBER).
   Google Scholar
• Baldwin, R., & Tomiura, E. (2020). Thinking ahead about the trade impact of COVID-19. In R. Baldwin & R. W. di Mauro (Eds.), Economics in the time of COVID-19 (pp. 59–72). CEPR Press.
   Google Scholar
• Baqaee, D., & Farhi, E. (2020). Nonlinear production networks with an application to the covid-19 crisis (Working Paper No. 27281). National Bureau of Economic Research (NBER). http://www.nber.org/papers/w27281
   Google Scholar
• Barba Navaretti, G., Calzolari, G., Dossena, A., Lanza, A., & Pozzolo, A. F. (2020). In and out lockdowns: Identifying the centrality of economic activities. Covid Economics: Vetted and Real Time Papers, 17, 189–204.
   Google Scholar
• Barbieri, T., Basso, G., & Scicchitano, S. (2020). Italian workers at risk during the COVID-19 epidemic (Questioni di Economia e Finanza (Occasional Papers) No. 569. Bank of Italy, Economic Research and International Relations Area. https://ideas.repec.org/p/bdi/opques/qef_569_20.html
   Google Scholar
• Benigno, G., di Giovanni, J., Groen, J. J., & Noble, A. I. (2022). A new barometer of global supply chain pressures (Technical Report). Federal Reserve Bank of New York.
   Google Scholar
• Bentivogli, C., Ferraresi, T., Monti, P., Paniccià, R., & Rosignoli, S. (2019). Italian regions in global value chains: An input–output approach. Politica Economica, 35(1), 55–94. https://ideas.repec.org/a/mul/je8794/10.1429-93307y2019i1p55-94.html
   Web of Science ®Google Scholar
• Boeri, T., Caiumi, A., & Paccagnella, M. (2020). Mitigating the work–safety trade-off. Covid Economics: Vetted and Real Time Papers, 2, 60–66.
   Google Scholar
• Bonadio, B., Huo, Z., Levchenko, A. A., & Pandalai-Nayar, N. (2020). Global supply chains in the pandemic (Working Paper No. 27224). National Bureau of Economic Research (NBER). http://www.nber.org/papers/w27224
   Google Scholar
• Borin, A., & Mancini, M. (2017). Follow the value added: Tracking bilateral relations in global value chains (MPRA Paper No. 82692). University Library of Munich. https://ideas.repec.org/p/pra/mprapa/82692.html
   Google Scholar
• Conte, A., Lecca, P., Sakkas, S., & Salotti, S. (2020). The territorial economic impact of COVID-19 in the EU. A Rhomolo analysis (Working Papers No. JRC121261). Joint Research Centre (JRC) (Seville).
   Google Scholar
• Daniele, V., Malanima, P., et al. (2007). Il prodotto delle regioni e il divario nord–sud in italia (1861–2004). Rivista di Politica Economica, 97(2), 267–316.
   Google Scholar
• Demmou, L., Franco, G., Calligaris, S., & Dlugosch, D. (2021). Liquidity shortfalls during the covid-19 outbreak: Assessment and policy responses (OECD Economics Department Working Papers No. 1647).
   Google Scholar
• Dingel, J. I., & Neiman, B. (2020). How many jobs can be done at home? (Working Paper No. 26948). National Bureau of Economic Research (NBER). http://www.nber.org/papers/w26948
   Google Scholar
• Duranti, S., Faraoni, N., Patacchini, V., & Sciclone, N. (2020). Il lavoro agile: Per quali professioni e lavoratori? (Working Paper No. 1). IRPET.
   Google Scholar
• Ferraresi, T., & Ghezzi, L. (2020). Il ruolo della diffusione del covid-19 in cina sulla dinamica della produzione industriale delle regioni italiane di febbraio. Note sugli effetti economici del covid-19. IRPET.
   Google Scholar
• Ferraresi, T., Ghezzi, L., Vanni, F., Guerini, M., Lamperti, F., Fagiolo, G., Caiani, A., Napoletano, M., & Roventini, A. (2020). Lockdown, dinamiche regionali e settoriali. Mimeo.
   Google Scholar
• Gerritse, M. (2020). Cities and COVID-19 infections: Population density, transmission speeds and sheltering responses. Covid Economics: Vetted and Real Time Papers, 37, 1–26.
   Google Scholar
• Glaeser, E. L., Gorback, C. S., & Redding, S. J. (2020). How much does covid-19 increase with mobility? Evidence from New York and four other U.S. cities (Working Paper No. 27519). National Bureau of Economic Research (NBER). http://www.nber.org/papers/w27519
   Google Scholar
• Gourinchas, P.-O., Kalemli-Özcan, S., Penciakova, V., & Sander, N. (2020). Covid-19 and SME failures (Working Paper No. 27877). National Bureau of Economic Research (NBER).
   Google Scholar
• Guerini, M., Nesta, L., Ragot, X., & Schiavo, S. (2020). Firm liquidity and solvency under the Covid-19 lockdown in France (OFCE Policy Brief No. 76). https://spire.sciencespo.fr/hdl:/2441/a8bbt5m569depe1larqkd498n/resources/ofce-policy-brief-76.pdf
   Google Scholar
• Hale, T., Petherick, A., Phillips, T., & Webster, S. (2020). Variation in government responses to covid-19 (working Paper No. 31). Blavatnik School of Government.
   Google Scholar
• Harris, J. E. (2020). Reopening under covid-19: What to watch for (Working Paper No. 27166). National Bureau of Economic Research (NBER). http://www.nber.org/papers/w27166
   Google Scholar
• International Monetary Fund (IMF). (2020). World economic outlook. IMF.
   Google Scholar
• Inoue, H., & Todo, Y. (2020). The propagation of economic impacts through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19 (Discussion Papers No. 20037). Research Institute of Economy, Trade and Industry (RIETI). https://ideas.repec.org/p/eti/dpaper/20037.html
   Google Scholar
• Koks, E. E., & Thissen, M. (2016). A multiregional impact assessment model for disaster analysis. Economic Systems Research, 28(4), 429–449. https://doi.org/10.1080/09535314.2016.1232701
   Web of Science ®Google Scholar
• Koopman, R., Wang, Z., & Wei, S.-J. (2014). Tracing value-added and double counting in gross exports. American Economic Review, 104(2), 459–494. doi:10.1257/aer.104.2.459
   Web of Science ®Google Scholar
• Laeven, L. (2020). Pandemics, intermediate goods, and corporate valuation (Discussion Papers No. 15022). Centre for Economic Policy Research (CEPR). https://ideas.repec.org/p/cpr/ceprdp/15022.html
   Google Scholar
• Los, B., Timmer, M. P., & Vries, G. J. (2015). How global Are global value chains? A New approach to measure international fragmentation. Journal of Regional Science, 55(1), 66–92. doi:10.1111/jors.12121
   Web of Science ®Google Scholar
• Los, B., Timmer, M. P., & de Vries, G. J. (2016). Tracing value-added and double counting in gross exports: Comment. American Economic Review, 106(7), 1958–1966. doi:10.1257/aer.20140883
   Web of Science ®Google Scholar
• Meier, M., & Pinto, E. (2020). Covid-19 supply chain disruptions. Covid Economics: Vetted and Real Time Papers, 48, 139–170.
   Google Scholar
• Miller, R. E., & Blair, P. D. (2009). Input–output analysis: Foundations and extensions. Cambridge university press.
   Google Scholar
• Monte, F. (2020). Mobility zones (Working Paper No. 27236). National Bureau of Economic Research (NBER). http://www.nber.org/papers/w27236
   Google Scholar
• Okuyama, Y., Hewings, G. J. D., & Sonis, M. (2004). Measuring economic impacts of disasters: Interregional input–output analysis using sequential interindustry model. In Y. Okuyama & S. E. Chang (Eds.), Modeling spatial and economic impacts of disasters (pp. 77–101). Springer.
   Google Scholar
• Organisation for Economic Co-operation and Development (OECD). (2020a). COVID-19 and global value chains: Policy options to build more resilient production networks (OECD Policy Responses to Coronavirus (Covid-19)). OECD.
   Google Scholar
• Organisation for Economic Co-operation and Development (OECD). (2020b). The territorial impact of COVID-19: Managing the crisis across levels of government (OECD Policy Responses to Coronavirus (covid-19)). OECD.
   Google Scholar
• Paniccià, R., & Rosignoli, S. (2018). A methodology for building multiregional supply and use tables for Italy (Technical Report). IRPET. http://www.irpet.it/wp-content/uploads/2018/09/sa-a-methodology-for-building-27-09-2018-paniccia_rosignoli.pdf
   Google Scholar
• Persky, J., & Felsenstein, D. (2006). Restricting access in a job chains model of local employment creation. The Annals of Regional Science, 40(2), 423–435. doi:10.1007/s00168-006-0067-5
   Web of Science ®Google Scholar
• Persky, J., & Felsenstein, D. (2008). Job chains and wage curves: Worker mobility and Marshallian surpluses in evaluating regional employment growth. Journal of Regional Science, 48(5), 921–940. doi:10.1111/j.1467-9787.2008.00581.x
   Web of Science ®Google Scholar
• Pichler, A., Pangallo, M., del Rio-Chanona, R. M., Lafond, F., & Farmer, J. D. (2020). Production networks and epidemic spreading: How to restart the UK economy? Papers 2005.10585, arXiv.org. https://ideas.repec.org/p/arx/papers/2005.10585.html
   Google Scholar
• Reissl, S., Caiani, A., Lamperti, F., Ferraresi, T., & Ghezzi, L. (2022a). A regional input–output model of the covid-19 crisis in Italy: Decomposing demand and supply factors (Working Paper No. 2022/04). Laboratory of Economics and Management (LEM), Sant’Anna School of Advanced Studies.
   Google Scholar
• Reissl, S., Caiani, A., Lamperti, F., Guerini, M., Vanni, F., Fagiolo, G., Ferraresi, T., Ghezzi, L., Napoletano, M., & Roventini, A. (2022b). Assessing the economic impact of lockdowns in Italy: A computational input–output approach. Industrial and Corporate Change, 31(2), 358–409. https://doi.org/10.1093/icc/dtac003
   Web of Science ®Google Scholar
• Thissen, M., Ivanova, O., Mandras, G., & Husby, T. (2019). European NUTS 2 regions: Construction of interregional trade-linked supply and use tables with consistent transport flows (JRC Working Papers on Territorial Modelling and Analysis No. 2019-01). Joint Research Centre (JRC) (Seville). https://ideas.repec.org/p/ipt/termod/201901.html
   Google Scholar
• Thissen, M., Lankhuizen, M., van Oort, F. F., Los, B., & Diodato, D. (2018). EUREGIO: The construction of a global IO DATABASE with regional detail for Europe for 2000–2010 (Discussion Papers No. 18-084/VI). Tinbergen Institute. https://ideas.repec.org/p/tin/wpaper/20180084.html
   Google Scholar
• Timmer, M. P., Erumban, A. A., Los, B., Stehrer, R., & De Vries, G. J. (2014a). Slicing up global value chains. Journal of Economic Perspectives, 28(2), 99–118. doi:10.1257/jep.28.2.99
   Web of Science ®Google Scholar
• Timmer, M. P., Los, B., Stehrer, R., & de Vries, G. J. (2014b). Fragmentation, incomes and jobs: An analysis of European competitiveness. Economic Policy, 28(76), 613–661. doi:10.1111/1468-0327.12018
   Web of Science ®Google Scholar
• Timmer, M. P., Los, B., Stehrer, R., & Vries, G. J. (2021). Supply chain fragmentation and the global trade elasticity: A new accounting framework. IMF Economic Review, 69(4), 656–680. doi:10.1057/s41308-021-00134-8
   Web of Science ®Google Scholar
• Van Oort, F., & Thissen, M. (2021). Networked shocks and regional resilience: Implications from Brexit and the corona pandemic. Scienze Regionali, Italian Journal of Regional Science, (1/2021), 3–23. https://www.rivisteweb.it/doi/10.1465099722
   Google Scholar
• World Bank. (2020). World development report 2020: Trading for development in the age of global value chains.
   Google Scholar