REFERENCES
- Acemoglu, D., Chernozhukov, V., Werning, I., & Whinston, M. D. (2020). Optimal targeted lockdowns in a multi-group SIR model. NBER Working Paper Series No. 27102. National Bureau of Economic Research (NBER).
- Acemoglu, D., Ozdaglar, A., & Tahbaz-Salehi, A. (2015). Systemic risk and stability in financial networks. The American Economic Review, 105(2), 564–608. doi:10.1257/aer.20130456
- Acharya, V. V., Jiang, Z., Richmond, R. J., & von Thadden, E.-L. (2020). Divided we fall: International health and trade coordination during a pandemic. NBER Working Paper Series No. 28176, National Bureau of Economic Research (NBER).
- Arriola, C., Guilloux-Nefussi, S., Koh, S.-H., Kowalski, P., Rusticelli, E., & van Tongeren, F. (2020). Efficiency and risks in global value chains in the context of COVID-19. OECD Economics Department Working Paper No. 1637, OECD.
- Axtell, R., Blair, B., Bowles, S., DeVany, A., DeBevoise, M., Durlauf, S., Epstein, S. D., Gintis, H., Goldman, A., & Page, S. (2006). Generative social science: Studies in agent-based computational modeling. Princeton University Press.
- Barabási, A.-L. (2016). Network science. Cambridge University Press.
- Barrot, J.-N., & Sauvagnat, J. (2016). Input specificity and the propagation of idiosyncratic shocks in production networks. The Quarterly Journal of Economics, 131(3), 1543–1592. doi:10.1093/qje/qjw018
- Biancotti, C., Borin, A., Cingano, F., Tommasino, P., & Veronese, G. (2020). The case for a coordinated COVID-19 response: No country is an island. https://voxeu.org/article/case-coordinated-covid-19-response-no-country-island.
- Boehm, C. E., Flaaen, A., & Pandalai-Nayar, N. (2019). Input linkages and the transmission of shocks: Firm-level evidence from the 2011 Tōhoku earthquake. The Review of Economics and Statistics, 101(1), 60–75. doi:10.1162/rest_a_00750
- Bonadio, B., Huo, Z., Levchenko, A. A., & Pandalai-Nayar, N. (2020). Global supply chains in the pandemic. NBER Working Paper Series No. 27224. National Bureau of Economic Research (NBER).
- Carvalho, V. M., Nirei, M., Saito, Y. U., & Tahbaz-Salehi, A. (2021). Supply chain disruptions: Evidence from the Great East Japan earthquake. The Quarterly Journal of Economics, 136(2), 1255–1321. doi:10.1093/qje/qjaa044
- Dingel, J. I., & Neiman, B. (2020). How many jobs can be done at home? Journal of Public Economics, 189, 104235. doi:10.1016/j.jpubeco.2020.104235
- Fujiwara, Y., & Aoyama, H. (2010). Large-scale structure of a nation-wide production network. The European Physical Journal B, 77(4), 565–580. doi:10.1140/epjb/e2010-00275-2
- Gomez, C. J., & Lazer, D. M. (2019). Clustering knowledge and dispersing abilities enhances collective problem solving in a network. Nature Communications, 10(1), 1–11. doi:10.1038/s41467-018-07882-8
- Guan, D., Wang, D., Hallegatte, S., Davis, S. D., Huo, J., Li, S., Bai, Y., Lei, T., Xue, Q., Coffman, D., Cheng, D., Chen, P., Liang, X., Xu, B., Lu, X., Wang, S., Hubacek, K., and Gong, P. (2020). Global supply-chain effects of COVID-19 control measures. Nature Human Behaviour, 4(6), 577–587. doi:10.1038/s41562-020-0896-8
- Haddad, E. A., Perobelli, F. S., Araújo, I. F., & Bugarin, K. S. (2021). Structural propagation of pandemic shocks: An input–output analysis of the economic costs of COVID-19. Spatial Economic Analysis, 16(3), 252–270. doi:10.1080/17421772.2020.1844284
- Hale, T., Webster, S., Petherick, A., Phillips, T., & Kira, B. (2020). Oxford COVID-19 government response tracker. https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker.
- Hallegatte, S. (2008). An adaptive regional input–output model and its application to the assessment of the economic cost of Katrina. Risk Analysis, 28(3), 779–799. doi:10.1111/j.1539-6924.2008.01046.x
- Henriet, F., Hallegatte, S., & Tabourier, L. (2012). Firm-network characteristics and economic robustness to natural disasters. Journal of Economic Dynamics and Control, 36(1), 150–167. doi:10.1016/j.jedc.2011.10.001
- Inoue, H. (2021). Propagation of international supply-chain disruptions between firms in a country. Journal of Risk and Financial Management, 14(10), 461. doi:10.3390/jrfm14100461
- Inoue, H., Murase, Y., & Todo, Y. (2021). Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains? PLoS ONE, 15(9), e0239251. doi:10.1371/journal.pone.0255031
- Inoue, H., & Todo, Y. (2019a). Firm-level propagation of shocks through supply-chain networks. Nature Sustainability, 2(9), 841–847. doi:10.1038/s41893-019-0351-x
- Inoue, H., & Todo, Y. (2019b). Propagation of negative shocks across nation-wide firm networks. PLoS ONE, 14(3), e0213648. doi:10.1371/journal.pone.0213648
- 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. PLoS ONE, 15(9), e0239251. doi:10.1371/journal.pone.0239251
- Kashiwagi, Y., Todo, Y., & Matous, P. (2021). Propagation of economic shocks through global supply chains—Evidence from hurricane sandy. Review of International Economics, 29(5), 1186–1220. doi:10.1111/roie.12541
- Kremer, M., & Miguel, E. (2007). The illusion of sustainability. The Quarterly Journal of Economics, 122(3), 1007–1065. doi:10.1162/qjec.122.3.1007
- LeBaron, B., & Tesfatsion, L. (2008). Modeling macroeconomies as open-ended dynamic systems of interacting agents. American Economic Review, 98(2), 246–250. doi:10.1257/aer.98.2.246
- McCann, F., & Myers, S. (2020). Covid-19 and the transmission of shocks through domestic supply chains. Financial Stability Notes No. 2020-3, Central Bank of Ireland.
- McKibbin, W. J., & Fernando, R. (2020). The global macroeconomic impacts of COVID-19: Seven scenarios. CAMA Working Paper 19/2020, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, Australian National University.
- Ministry of Economy, Trade and Industry, Japan. (2015). The 2015 updated input–output table. https://www.soumu.go.jp/english/dgpp_ss/data/io/index.htm.
- Organisation for Economic Co-operation and Development (OECD). (2021). Global value chains: Efficiency and risks in the context of COVID-19. https://www.oecd.org/coronavirus/policy-responses/global-value-chains-efficiency-and-risks-in-the-context-of-covid-19-67c75fdc/.
- Pichler, A., Pangallo, M., del Rio-Chanona, R. M., Lafond, F., & Farmer, J. D. (2021). In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model. SSRN Working Paper 3788494, Social Science Research Network.
- Reissl, S., Caiani, A., Lamperti, F., Guerini, M., Vanni, F., Fagiolo, G., Ferraresi, T., Ghezzi, L. M. (2021). Napoletano, and A. Roventini. Assessing the economic effects of lockdowns in Italy: a dynamic input–output approach. LEM Working Paper 2021/3, Institute of Economics, Scuola Superiore Sant’Anna.
- Ruktanonchai, N. W., Floyd, J., Lai, S., Ruktanonchai, C. W., Sadilek, A., Rente-Lourenco, P., Ben, X., Carioli, A., Gwinn, J., Steele, J., Prosper, O., Schneider, A., Oplinger, A., Eastham, P., and Tatem, A. J. (2020). Assessing the impact of coordinated COVID-19 exit strategies across Europe. Science, 369(6510), 1465–1470. doi:10.1126/science.abc5096
- Taylor, J. B. (2013). International monetary coordination and the great deviation. Journal of Policy Modeling, 35(3), 463–472. doi:10.1016/j.jpolmod.2013.03.010
- The Prime Minister of Japan and His Cabinet. (2020). Government responses on the coronavirus disease 2019. http://japan.kantei.go.jp/ongoingtopics/_00013.html.
- Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440–442. doi:10.1038/30918
- Yabe, T., Tsubouchi, K., Fujiwara, N., Wada, T., Sekimoto, Y., & Ukkusuri, S. V. (2020). Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic. Scientific Reports, 10(1), 1–9. doi:10.1038/s41598-020-75033-5