Asian Journal of Innovation and Policy

  • 제9권2호
  • /
  • Pages.187-206
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  • 2020
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  • 2287-1608(pISSN)
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  • 2287-1616(eISSN)
아시아기술혁신학회 (Asian Society for Innovation and Policy)
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COVID-19 and the Korean Economy: When, How, and What Changes?

  • 투고 : 2020.08.14
  • 심사 : 2020.08.26
  • 발행 : 2020.08.31
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초록

Under the on-going evolution of the COVID-19 pandemic, estimating the economic impact of the pandemic is highly uncertain and challenging. This situation makes it difficult for policymakers, governors, and economic entities to formulate appropriate responses and decision makings. To provide useful information about the effect of the COVID-19 pandemic on the Korean economy, this study examined macroeconomic impact analysis stemming from the pandemic shocks with different scenarios for the Korean economy. Based on three scenarios using the growth rate of 2020 GDP and consumer expenditure patterns, the 2021 GDP by industry sector was forecast with two new approaches. First, the recovering process of the Korean economy from the shock was analyzed by applying a Flex-IO method. Second, a new forecasting approach combined with an IO coefficient matrix was applied to forecast the future GDP changes. The findings of this study are summarized as follows: First, the total GDP growth rate under the Pessimistic Scenario demonstrates less rebound from the shock than that of the Base Scenario. Second, agriculture, culture, and tourism-related sectors that are suffering from the severe losses of COVID-19 showed lower resilience than other different industries. Third, information and communications technology (ICT) industry maintains a stable growth trend and is expected to take the leading role for the Korean economy in the post-COVID-19 and the Industry 4.0 eras. The findings deliver that it needs to analyze how government expenditure responding the shock into the forecasting model, which can be more useful and reliable to simulate the resilience from the pandemic.

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참고문헌

  1. Armeanu, D., Andrei, J. V., Lache, L., and Panait, M. (2017). A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run, PLoS ONE 12(7), e0181379, https://doi.org/10.1371/journal.pone.0181379.
  2. Arndt, C. and Lewis, J. D. (2001). The HIV/AIDS Pandemic in South Africa: Sectoral Impacts and Unemployment, Journal of International Development 13(4), 427-49. https://doi.org/10.1002/jid.796
  3. Bank of Korea (BOK) (2020). The change of economic structure after the COVID-19 and the effect on the Korean economy, Research Department, Bank of Korea, Seoul, Korea.
  4. Barro, R, J., Ursua, J. F., and Weng, J. (2020). The Coronavirus and the Great Influenza Pandemic: Lessons from the "Spanish Flu" for the Coronavirus' Potential Effects on Mortality and Economic Activity, Working Paper 26866, National Bureau of Economic Research, Cambridge, MA, US.
  5. Bell, C., Devarajan, S., and Hersbach, H. (2004). Thinking about the long-run economic costs of AIDS. In Haacker, M. (eds.), The Macroeconomics of HIV/AIDS (pp. 96-144). Washington DC, IMF.
  6. Boissay, F. and Rungcharoenkitkul, P. (2020). Macroeconomic effects of Covid-19: an early review, BIS Bulletin 7, Bank for International Settlements, Basel, Switzerland.
  7. Broda, C. and Weinstein, D. E. (2004). Globalization and the Gains from Variety, Federal Reserve Bank of New York, Staff Report #180.
  8. Centers for Disease Control and Prevention (CDC) (2009). CDC Telebriefing on Investigation of Human Cases of H1N1 Flu, CDC Online Newsroom, Press Briefing Transcripts. Available online at http://www.cdc.gov/media/transcripts/2009/t090515htm
  9. Cuddington, J. T. (1993a). Further results on the macroeconomic effects of AIDS: the dualistic, labour-surplus economy, World Bank Economic Review 7(3), 403-17. https://doi.org/10.1093/wber/7.3.403
  10. Cuddington, J. T. (1993b). Modeling the macroeconomic effects of AIDS, with an application to Tanzania, World Bank Economic Review 7(2), 173-89. https://doi.org/10.1093/wber/7.2.173
  11. Cuddington, J. T. and Hancock, J. D. (1994). Assessing the Impact of AIDS on the Growth Path of the Malawian Economy, Journal of Development Economics 43(2), 363-68. https://doi.org/10.1016/0304-3878(94)90013-2
  12. Cuddington, J. T., Hancock, J. D., and Rogers, C. A. (1994). A Dynamic Aggregate Model of the AIDS Epidemic with Possible Policy Interventions, Journal of Policy Modeling 16(5), 473-96. https://doi.org/10.1016/0161-8938(94)90024-8
  13. Dees, S. and Brinca, P. S. (2013). Consumer confidence as a predictor of consumption spending: Evidence for the United States and the Euro area, International Economics 134, 1-14. http://lps3.doi.org.libproxy.snu.ac.kr/10.1016/j.inteco.2013.05.001.
  14. Dixon, L. and Stern, R. K. (2004). Compensation for Losses from the 9/11 Attacks, Santa Monica, CA: Rand Institute for Civil Justice.
  15. Dixon, P. B., Giesecke, J. A., Rimmer, M. T., and Rose, A. (2011). The economic costs to the U.S. of closing its borders: A computable general equilibrium analysis, Defense and Peace Economics 22 (1), 85-97, DOI: 10.1080/10242694.2010.491658
  16. Fan, V. Y., Jamison, D. T., and Summers, L. H. (2016). The Inclusive Cost of Pandemic Influenza Risk, NBER Working Paper, no 22137, National Bureau of Economic Research, Cambridge, MA, US.
  17. Fraser, C., Donnelly, C., Cauchemez, S., Hanage, W. P., Van Kerkhove, M. D., Hollingsworth, T. D., Griffin, J., Baggaley, R. F., Jenkins, H. E., Lyons, E. J., Jombart, T., Hinsley, W. R., Grassly, N. C., Balloux, F., Ghani, A. C., Ferguson, N. M., Rambaut, A., Pybus, O. G., Lopez-Gatell, H., Apluche-Aranda, C. M., Chapela, I. B., Zavala, E. P., Guevara, D. M. E., Checchi, F., Garcia, E., Hugonnet, S., and Roth, C. (2009). Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings, Sciencexpress, Available online at http://www.sciencemag.org/cgi/rapidpdf/ 1176062v2.pdf.
  18. Gordon, P., Park, J., Moore II, J. E., and Richardson, H. W. (2009a). The Economic Impacts of International Border Closure: A State-by-State Analysis. In Richardson, H.W., Gordon, P., and Moore II, J. E., (eds.), Global Business and the Terrorist Threat (pp. 201-227). Cheltenham: Edward Elgar.
  19. Gordon, P., Park, J., and Richardson, H. W. (2009b). Modeling input-output impacts with substitutions in the household sector: A numerical example, Economic Modelling 23(3), 696-701.
  20. Global Preparedness Monitoring Board (2019). A world at risk: Annual report on global preparedness for health emergencies, Geneva, Switzerland: World Health Organization (WHO), available online at: https://apps.who.int/gpmb/assets/annual_ report/GPMB_annualreport_2019.pdf, accessed July 30, 2020.
  21. Hai, W., Zhao, Z., Wang, J., and Hou, Z. (2004). The short-term impact of SARS on the Chinese economy, Asian Economic Papers 3(1), 57-61. https://doi.org/10.1162/1535351041747905
  22. Haacker, M. (2002a). The economic consequences of HIV/AIDS in Southern Africa, IMF Working Paper W/02/38, International Monetary Fund, Washington DC, US.
  23. Haacker, M. (2002b). Modeling the macroeconomic impact of HIV/AIDS, IMF Working Paper W/02/195, International Monetary Fund, Washington DC, US.
  24. Haacker, M. (eds). (2004). The Macroeconomics of HIV/AIDS, International Monetary Fund, Washington DC, US.
  25. Kazimi, A. A. and MacKenzie, C. A. (2016). The economic costs of natural disasters, terrorist attacks, and other calamities: An analysis of economic models that quantify the losses caused by disruptions, IEEE Systems and Information Engineering Design Symposium (SIEDS), DOI: 10.1109/SIEDS.2016.7489322
  26. Korea Development Institute (KDI) (2020). KDI Economic Outlook 2020-1st Half, Korea Development Institute, Sejong, Korea.
  27. Keogh-Brown, M. C., Smith, R. D., Edmunds, J. W., and Beutels, P. (2010). The macroeconomic impact of pandemic influenza: estimates from models of the United Kingdom, France, Belgium and The Netherlands, The European Journal of Health Economics 11(6), 543-554. https://doi.org/10.1007/s10198-009-0210-1
  28. Lee, J. W. and McKibbin, W. (2004). Estimating the global economic costs of SARS. In Knobler, S., Mahmoud, A., Lemon, S., Mack, A., Sivitz, L., and Oberholtzer, K. (eds.), Learning from SARS: Preparing for the Next Disease Outbreak: Workshop Summary, Washington, DC: The National Academies Press. https://doi.org/10.17226/10915.
  29. Levi, J., Segal, M., and Segal, L. M. (2007). Pandemic Flu and the Potential for U.S. Economic Recession - A state-by-state Analysis, ISSUE Report, Trust for America's Health, Washington, DC, US. available online at: https://www.pewtrusts.org/-/media/legacy/uploadedfiles/phg/content_level_pages/reports/pprptpandemicflureceSsionpdf.pdf, accessed July 20, 2020.
  30. Murray, C.L., Lopez, A.D., Chin, B., Feehan, D., and Hill, K.H. (2006). Estimation of potential global pandemic influenza mortality on the basis of vital registry data from the 1918-20 pandemic: a quantitative analysis, The Lancet 368, 2211-2218. https://doi.org/10.1016/S0140-6736(06)69895-4
  31. National Safety Council (2017). Estimating the Cost of Unintentional Injuries, 2015, Itasca, IL: National Safety Council, available online at: https://www.nsc.org/Portals /0/Documents/NSCDocuments_Corporate/estimating-costs.pdf, accessed July 29, 2020.
  32. Park, J., Gordon, P., Moore II, J. E., and Richardson, H. W. (2007). Simulating The State-by-State Effects of Terrorist Attacks on Three Major U.S. Ports: Applying NIEMO (National Interstate Economic Model). In Richardson, H.W., Gordon, P., and Moore II, J. E. (eds.), The Economic Costs and Consequences of Terrorism (pp. 208-234). Cheltenham: Edward Elgar.
  33. Park, J. (2008). The Economic Impacts of Dirty- Bomb Attacks on the Los Angeles and Long Beach Ports: Applying the Supply-driven NIEMO (National Interstate Economic Model), Journal of Homeland Security and Emergency Management 5 (1), Article 21.
  34. Park, J. and Richardson, H. W. (2015). Refining the Isard Multiregional Input-Output Model: Theory, Operationality and Extensions. In Nijkamp, P., Rose, A., and Kourtit, K., (eds.), Regional Science Matters (pp. 35-54). Springer, Switzerland.
  35. Park, J., Gordon, P., Moore II, J. E., and Richardson, H. W. (2017). A New Approach to Quantifying the Impact of Hurricane-Disrupted Oil Refinery Operations Utilizing Secondary Data, Group Decision and Negotiation 26(6), 1125-1144. https://doi.org/10.1007/s10726-017-9537-7
  36. Park, J. (2020). The 2020 Coronavirus and the economic losses, MUREPA Critical Opinions, 7, MUREPA Press, Seoul, Korea.
  37. Park, C., Cho, D., Choi, G. Y., Song, J. R., Lee, J., and Park, J. (2019). How to effectively manage water resource responding to climate change - an approach to economic loss estimation stemming from water pollution and the cleaning cost -, The Studies in Regional Development 51(2), 81-108. https://doi.org/10.35526/srd.2019.51.2.005
  38. US Environmental Protection Agency (EPA) (1999). The Benefits and Costs of the Clean Air Act 1990 to 2010, EPA Reports to Congress.
  39. Viscusi, K. and Aldy, J. E. (2003). The Value of a Statistical Life: A Critical Review of Market Estimates Throughout the World, Journal of Risk and Uncertainty 27, 5-76. https://doi.org/10.1023/A:1025598106257
  40. World Bank (2008). Evaluating the Economic Consequences of Avian Influenza, Washington, DC, World Bank Group, available at www.worldbank.org/flu. (Originally published in a slightly different form in the World Bank's June 2006 edition of Global Development Finance, available at www.worldbank.org/gdf2006.)
  41. World Bank Group (2014). The Economic Impact of the 2014 Ebola Epidemic: Short and Medium Term Estimates for West Africa, Working Paper # 91219, Washington, DC, World Bank Group, available online at: http://documents1.worldbank.org/curated /en/524521468141287875/pdf/912190WP0see0a00070385314B00PUBLIC0.pdf, accessed July 30, 2020.
  42. Zimmerman, R., Restrepo, C. E., Simonoff, J. S., and Lave, L. B. (2007). Risk and Economic Costs of a Terrorist Attack on the Electric System. In Richardson, H. W., Gordon, P., and Moore II, J. E. (eds.), The Economic Costs and Consequence of Terrorism (pp. 273-290). Cheltenham, UK and Northampton, MA, USA: Edward Elgar.