IDEAS home Printed from https://ideas.repec.org/p/een/camaaa/2021-17.html
   My bibliography  Save this paper

Macroeconomic policy adjustments due to COVID-19: Scenarios to 2025 with a focus on Asia

Author

Listed:
  • Roshen Fernando
  • Warwick J. McKibbin

Abstract

This paper updates the analysis of the global macroeconomic consequences of the COVID-19 pandemic in McKibbin and Fernando (2020c) with data as of late October 2020. It also extends the focus to Asian economies and explores four alternative policy interventions coordinated across all economies. The first three policies relate to fiscal policy: an increase in transfers to households of an additional 2% of GDP in 2020; an increase in government spending on goods and services in all economies of 2% of GDP in 2020; an increase in government infrastructure spending in all economies in 2020. The fourth policy is a public health intervention similar to the approach of Australia that successfully manages the virus (flattens the curve) through testing, contact tracing and isolating infected people, coupled with the rapid deployment of an effective vaccine by mid-2021. The policy that is most supportive of a global economic recovery is the successfully implemented public health policy. Each of the fiscal policies assists in the economic recovery with public sector infrastructure having the most short-term stimulus and longer-term growth benefits.

Suggested Citation

  • Roshen Fernando & Warwick J. McKibbin, 2021. "Macroeconomic policy adjustments due to COVID-19: Scenarios to 2025 with a focus on Asia," CAMA Working Papers 2021-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2021-17
    as

    Download full text from publisher

    File URL: https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2021-01/17_2021_fernando_mckibbin.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Henderson, Dale W. & McKibbin, Warwick J., 1993. "A comparison of some basic monetary policy regimes for open economies: implications of different degrees of instrument adjustment and wage persistence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 221-317, December.
    2. Maliszewska,Maryla & Mattoo,Aaditya & Van Der Mensbrugghe,Dominique, 2020. "The Potential Impact of COVID-19 on GDP and Trade : A Preliminary Assessment," Policy Research Working Paper Series 9211, The World Bank.
    3. Sebastian Gechert, 2015. "What fiscal policy is most effective? A meta-regression analysis," Oxford Economic Papers, Oxford University Press, vol. 67(3), pages 553-580.
    4. Raymond Fisman & Inessa Love, 2004. "Financial Development and Growth in the Short and Long Run," NBER Working Papers 10236, National Bureau of Economic Research, Inc.
    5. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    6. César Calderón & Enrique Moral‐Benito & Luis Servén, 2015. "Is infrastructure capital productive? A dynamic heterogeneous approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 177-198, March.
    7. World Bank, 2020. "Global Economic Prospects, January 2020," World Bank Publications - Books, The World Bank Group, number 33044.
    8. Felix Reichling & Charles Whalen, 2015. "The Fiscal Multiplier and Economic Policy Analysis in the United States: Working Paper 2015-02," Working Papers 49925, Congressional Budget Office.
    9. Aschauer, David Alan, 1989. "Is public expenditure productive?," Journal of Monetary Economics, Elsevier, vol. 23(2), pages 177-200, March.
    10. Charles J. Whalen & Felix Reichling, 2015. "The Fiscal Multiplier And Economic Policy Analysis In The United States," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 735-746, October.
    11. Warwick McKibbin & David Vines, 2020. "Global macroeconomic cooperation in response to the COVID-19 pandemic: a roadmap for the G20 and the IMF," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 297-337.
    12. Warwick McKibbin & Alexandra Sidorenko, 2006. "Global Macroeconomic Consequences of Pandemic Influenza," CAMA Working Papers 2006-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    13. Warwick McKibbin & Timo Henckel, 2010. "The Economics of Infrastructure in a Globalized World: Issues, Lessons and Future Challenges," CAMA Working Papers 2010-39, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. World Bank, 2020. "Global Economic Prospects, June 2020," World Bank Publications - Books, The World Bank Group, number 33748.
    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. McKibbin, Warwick & Fernando, Roshen, 2023. "The global economic impacts of the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 129(C).

    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. McKibbin, Warwick & Fernando, Roshen, 2023. "The global economic impacts of the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 129(C).
    2. António Afonso & Eduardo Rodrigues, 2024. "Is public investment in construction and in R&D, growth enhancing? A PVAR approach," Applied Economics, Taylor & Francis Journals, vol. 56(24), pages 2875-2899, May.
    3. Osman Taylan & Abdulaziz S. Alkabaa & Mustafa Tahsin Yılmaz, 2022. "Impact of COVID-19 on G20 countries: analysis of economic recession using data mining approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    4. Liu, Li-Jing & Yao, Yun-Fei & Liang, Qiao-Mei & Qian, Xiang-Yan & Xu, Chun-Lei & Wei, Si-Yi & Creutzig, Felix & Wei, Yi-Ming, 2021. "Combining economic recovery with climate change mitigation: A global evaluation of financial instruments," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 438-453.
    5. Warwick J. McKibbin & Andrew B. Stoeckel & YingYing Lu, 2014. "Global Fiscal Adjustment and Trade Rebalancing," The World Economy, Wiley Blackwell, vol. 37(7), pages 892-922, July.
    6. Catalina Cantu, 2017. "Mexico’s economic infrastructure: international benchmark and its impact on growth," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-26, December.
    7. Zhang, Yin-Fang & Ji, Shengbao, 2018. "Does infrastructure have a transitory or longer-term impact? Evidence from China," Economic Modelling, Elsevier, vol. 73(C), pages 195-207.
    8. Mateusz Filipski & Anubhab Gupta & Justin Kagin & Arif Husain & Alejandro Grinspun & Oscar Maria Caccavale & Silvio Daidone & Valerio Giuffrida & Friederike Greb & Joseph Hooker & Susanna Sandström & , 2022. "A local general‐equilibrium emergency response modeling approach for sub‐Saharan Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 72-89, January.
    9. Feng, Qu & Wu, Guiying Laura, 2018. "On the reverse causality between output and infrastructure: The case of China," Economic Modelling, Elsevier, vol. 74(C), pages 97-104.
    10. Hadzi-Vaskov Metodij & Pienknagura Samuel & Ricci Luca Antonio, 2023. "The Macroeconomic Impact of Social Unrest," The B.E. Journal of Macroeconomics, De Gruyter, vol. 23(2), pages 917-958, June.
    11. Achim Truger, 2015. "Implementing the golden rule for public investment in Europe," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 138, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    12. Margaret Chitiga‐Mabugu & Martin Henseler & Ramos Mabugu & Hélène Maisonnave, 2021. "Economic and Distributional Impact of COVID‐19: Evidence from Macro‐Micro Modelling of the South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 89(1), pages 82-94, March.
    13. Andrés Rodríguez-Pose & Yannis Psycharis & Vassilis Tselios, 2012. "Public investment and regional growth and convergence: Evidence from Greece," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 543-568, August.
    14. Sergey Slobodyan, 2004. "One Sector Models, Indeterminacy, and Productive Public Spending," Computing in Economics and Finance 2004 314, Society for Computational Economics.
    15. Orietta Nicolis & Jean Paul Maidana & Fabian Contreras & Danilo Leal, 2024. "Analyzing the Impact of COVID-19 on Economic Sustainability: A Clustering Approach," Sustainability, MDPI, vol. 16(4), pages 1-30, February.
    16. Julien Malizard, 2014. "Dépenses militaires et croissance économique dans un contexte non linéaire. Le cas français," Revue économique, Presses de Sciences-Po, vol. 65(3), pages 601-618.
    17. Matthew Higgins & Daniel Levy & Andrew T. Young, 2003. "Growth and Convergence across the US: Evidence from County-Level Data," Working Papers 2003-03, Bar-Ilan University, Department of Economics.
    18. Lin, Boqiang & Bega, François, 2021. "China's Belt & Road Initiative coal power cooperation: Transitioning toward low-carbon development," Energy Policy, Elsevier, vol. 156(C).
    19. Barro, Robert J, 1990. "Government Spending in a Simple Model of Endogenous Growth," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 103-126, October.
    20. González, Marta Ramos & Ureña, Antonio Partal & Fernández-Aguado, Pilar Gómez, 2023. "Forecasting for regulatory credit loss derived from the COVID-19 pandemic: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 64(C).

    More about this item

    Keywords

    COVID-19; pandemics; infectious diseases; risk; macroeconomics; DSGE; CGE; G-Cubed;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    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:een:camaaa:2021-17. 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: Cama Admin (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.html .

    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.