IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2009.06894.html
   My bibliography  Save this paper

Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?

Author

Listed:
  • Hiroyasu Inoue
  • Yohsuke Murase
  • Yasuyuki Todo

Abstract

To prevent the spread of COVID-19, many cities, states, and countries have `locked down', restricting economic activities in non-essential sectors. Such lockdowns have substantially shrunk production in most countries. This study examines how the economic effects of lockdowns in different regions interact through supply chains, a network of firms for production, simulating an agent-based model of production on supply-chain data for 1.6 million firms in Japan. We further investigate how the complex network structure affects the interactions of lockdowns, emphasising the role of upstreamness and loops by decomposing supply-chain flows into potential and circular flow components. We find that a region's upstreamness, intensity of loops, and supplier substitutability in supply chains with other regions largely determine the economic effect of the lockdown in the region. In particular, when a region lifts its lockdown, its economic recovery substantially varies depending on whether it lifts lockdown alone or together with another region closely linked through supply chains. These results propose the need for inter-region policy coordination to reduce the economic loss from lockdowns.

Suggested Citation

  • Hiroyasu Inoue & Yohsuke Murase & Yasuyuki Todo, 2020. "Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?," Papers 2009.06894, arXiv.org, revised Jan 2021.
  • Handle: RePEc:arx:papers:2009.06894
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2009.06894
    File Function: Latest version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1255-1321.
    2. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    3. Michael Kremer & Edward Miguel, 2007. "The Illusion of Sustainability," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1007-1065.
    4. Pol Antras & Davin Chor & Thibault Fally & Russell Hillberry, 2012. "Measuring the Upstreamness of Production and Trade Flows," American Economic Review, American Economic Association, vol. 102(3), pages 412-416, May.
    5. Pol Antràs & Davin Chor, 2013. "Organizing the Global Value Chain," Econometrica, Econometric Society, vol. 81(6), pages 2127-2204, November.
    6. Laura Alfaro & Pol Antràs & Davin Chor & Paola Conconi, 2019. "Internalizing Global Value Chains: A Firm-Level Analysis," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 508-559.
    7. Christoph E. Boehm & Aaron Flaaen & Nitya Pandalai-Nayar, 2019. "Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tōhoku Earthquake," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 60-75, March.
    8. Yoshi Fujiwara & Hiroyasu Inoue & Takayuki Yamaguchi & Hideaki Aoyama & Takuma Tanaka, 2020. "Money flow network among firms' accounts in a regional bank of Japan," Papers 2007.14630, arXiv.org, revised Jul 2020.
    9. Fally, Thibault & Hillberry, Russell, 2018. "A Coasian model of international production chains," Journal of International Economics, Elsevier, vol. 114(C), pages 299-315.
    10. Hiroyasu Inoue & Yasuyuki Todo, 2019. "Firm-level propagation of shocks through supply-chain networks," Nature Sustainability, Nature, vol. 2(9), pages 841-847, September.
    11. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    12. Charles J. Gomez & David M. J. Lazer, 2019. "Clustering knowledge and dispersing abilities enhances collective problem solving in a network," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    13. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 0. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, Oxford University Press, vol. 136(2), pages 1255-1321.
    14. Ruth F Hunter & Kayla de la Haye & Jennifer M Murray & Jennifer Badham & Thomas W Valente & Mike Clarke & Frank Kee, 2019. "Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 16(9), pages 1-25, September.
    15. 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).
    16. Celian Colon & Stephane Hallegatte & Julie Rozenberg, 2019. "Transportation and Supply Chain Resilience in the United Republic of Tanzania," World Bank Publications - Reports 31909, The World Bank Group.
    17. Taylor, John B., 2013. "International monetary coordination and the great deviation," Journal of Policy Modeling, Elsevier, vol. 35(3), pages 463-472.
    18. Yuzuka Kashiwagi & Petr Matous & Yasuyuki Todo, 2018. "International propagation of economic shocks through global supply chains," Working Papers 1810, Waseda University, Faculty of Political Science and Economics.
    19. Jean-Noël Barrot & Julien Sauvagnat, 2016. "Input Specificity and the Propagation of Idiosyncratic Shocks in Production Networks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1543-1592.
    20. Stéphane Hallegatte, 2008. "An Adaptive Regional Input‐Output Model and its Application to the Assessment of the Economic Cost of Katrina," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 779-799, June.
    21. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    22. Jiangtao FU & Petr MATOUS & TODO Yasuyuki, 2018. "Trade Credit in Global Supply Chains," Discussion papers 18049, Research Institute of Economy, Trade and Industry (RIETI).
    23. McCann, Fergal & Myers, Samantha, 2020. "COVID-19 and the transmission of shocks through domestic supply chains," Financial Stability Notes 3/FS/20, Central Bank of Ireland.
    24. 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.
    25. 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.
    26. Blake LeBaron & Leigh Tesfatsion, 2008. "Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents," American Economic Review, American Economic Association, vol. 98(2), pages 246-250, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sorena Vosoughkhosravi & Amirhosein Jafari, 2022. "Developing A Conceptual Passive Contact Tracing System for Commercial Buildings Using WiFi Indoor Positioning," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    2. Herjuna Qobush Izzahdi & Ani Wilujeng Suryani, 2023. "COVID-19 Vaccination, Government Strict Policy and Capital Market Volatility: Evidence from ASEAN Countries," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-135.
    3. Wang, Richard & Ye, Zhongnan & Lu, Miaojia & Hsu, Shu-Chien, 2022. "Understanding post-pandemic work-from-home behaviours and community level energy reduction via agent-based modelling," Applied Energy, Elsevier, vol. 322(C).
    4. Nan Li & Muzi Chen & Difang Huang, 2022. "How Do Logistics Disruptions Affect Rural Households? Evidence from COVID-19 in China," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    5. Snellman, Jan E. & Barrio, Rafael A. & Kaski, Kimmo K. & Käpylä, Maarit J., 2022. "Modelling the interplay between epidemics and regional socio-economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    6. Weili Yin & Wenxue Ran, 2023. "Explaining Firm Performance During the COVID-19 With fsQCA: The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion," SAGE Open, , vol. 13(2), pages 21582440231, June.
    7. Yasuyuki Todo & Keita Oikawa & Masahito Ambashi & Fukunari Kimura & Shujiro Urata, 2021. "Robustness and Resilience of Supply Chains During the COVID-19 Pandemic: Findings from a Questionnaire Survey on the Supply Chain Links of Firms in ASEAN and India," Working Papers DP-2021-40, Economic Research Institute for ASEAN and East Asia (ERIA).
    8. Eiji Yamamura & Youki Kosaka & Yoshiro Tsutsui & Fumio Ohtake, 2022. "Gender differences of the effect of vaccination on perceptions of COVID-19 and mental health in Japan," Papers 2203.07663, arXiv.org.
    9. Balezentis, Tomas & Zickiene, Agne & Volkov, Artiom & Streimikiene, Dalia & Morkunas, Mangirdas & Dabkiene, Vida & Ribasauskiene, Erika, 2023. "Measures for the viable agri-food supply chains: A multi-criteria approach," Journal of Business Research, Elsevier, vol. 155(PA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. INOUE Hiroyasu & MURASE Yohsuke & TODO Yasuyuki, 2022. "Lockdowns Require Geographic Coordination because of the Propagation of Economic Effects through Supply Chains," Discussion papers 22076, Research Institute of Economy, Trade and Industry (RIETI).
    2. Hiroyasu Inoue & Yasuyuki Todo, 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, Public Library of Science, vol. 15(9), pages 1-10, September.
    3. 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.
    4. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Yasuyuki Todo & Hiroyasu Inoue, 2021. "Geographic Diversification of the Supply Chains of Japanese Firms," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(2), pages 304-322, July.
    6. Stefan Borsky & Martin Jury, 2020. "The role of global supply chains in the transmission of weather induced production shocks," Graz Economics Papers 2020-13, University of Graz, Department of Economics.
    7. 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).
    8. Yuzuka Kashiwagi & Yasuyuki Todo & Petr Matous, 2021. "Propagation of economic shocks through global supply chains—Evidence from Hurricane Sandy," Review of International Economics, Wiley Blackwell, vol. 29(5), pages 1186-1220, November.
    9. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 431-451, October.
    10. Cajal-Grossi, Julia & Del Prete, Davide & Macchiavello, Rocco, 2023. "Supply chain disruptions and sourcing strategies," International Journal of Industrial Organization, Elsevier, vol. 90(C).
    11. Pol Antràs & Davin Chor, 2021. "Global Value Chains," NBER Working Papers 28549, National Bureau of Economic Research, Inc.
    12. INOUE Hiroyasu & TODO Yasuyuki, 2022. "Propagation of Overseas Economic Shocks through Global Supply Chains: Firm-level evidence," Discussion papers 22062, Research Institute of Economy, Trade and Industry (RIETI).
    13. Alessandro Sforza & Marina Steininger, 2020. "Globalization in the Time of Covid-19," CESifo Working Paper Series 8184, CESifo.
    14. Hiroyasu Inoue, 2021. "Propagation of International Supply-Chain Disruptions between Firms in a Country," JRFM, MDPI, vol. 14(10), pages 1-14, October.
    15. Hayato Kato & Toshihiro Okubo, 2022. "The Resilience of FDI to Natural Disasters Through Industrial Linkages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 177-225, May.
    16. Bas,Maria & Fernandes,Ana Margarida & Paunov,Caroline, 2022. "How Resilient Was Trade to COVID-19 ?," Policy Research Working Paper Series 9975, The World Bank.
    17. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    18. Basile Grassi & Julien Sauvagnat, 2019. "Production networks and economic policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 35(4), pages 638-677.
    19. Eppinger, Peter S. & Felbermayr, Gabriel & Krebs, Oliver & Kukharskyy, Bohdan, 2020. "Covid-19 shocking global value chains," Kiel Working Papers 2167, Kiel Institute for the World Economy (IfW Kiel).
    20. Peter Eppinger & Gabriel J. Felbermayr & Oliver Krebs & Bohdan Kukharskyy, 2021. "Decoupling Global Value Chains," CESifo Working Paper Series 9079, CESifo.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2009.06894. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.