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Coronavirus disease 2019 and the global economy

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  • Yilmazkuday, Hakan

Abstract

Using daily data on the coronavirus disease 2019 (COVID-19) cases from China and the rest of the world, this paper investigates the corresponding effects on the global economic activity. The empirical results based on a structural vector autoregression model using crude oil prices (COP) and the Baltic Exchange Dry Index (BDI) are consistent with increases in COVID-19 cases acting as negative demand shocks in the global economic activity (reflected as reductions in COP) and negative supply shocks in the global transportation of commodities (reflected as increases in BDI). The historical decomposition results further suggest that the effects of COVID-19 cases on COP and BDI have been mostly observed in the early COVID-19 period.

Suggested Citation

  • Yilmazkuday, Hakan, 2022. "Coronavirus disease 2019 and the global economy," Transport Policy, Elsevier, vol. 120(C), pages 40-46.
  • Handle: RePEc:eee:trapol:v:120:y:2022:i:c:p:40-46
    DOI: 10.1016/j.tranpol.2022.03.003
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    1. Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
    2. Li, Yuhong & Zobel, Christopher W., 2020. "Exploring supply chain network resilience in the presence of the ripple effect," International Journal of Production Economics, Elsevier, vol. 228(C).
    3. Ji Chou & Nai-Fong Kuo & Su-Ling Peng, 2004. "Potential Impacts of the SARS Outbreak on Taiwan's Economy," Asian Economic Papers, MIT Press, vol. 3(1), pages 84-99.
    4. Graham, Michael & Peltomäki, Jarkko & Piljak, Vanja, 2016. "Global economic activity as an explicator of emerging market equity returns," Research in International Business and Finance, Elsevier, vol. 36(C), pages 424-435.
    5. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
    6. Dmitry Ivanov & Alexander Tsipoulanidis & Jörn Schönberger, 2017. "Global Supply Chain and Operations Management," Springer Texts in Business and Economics, Springer, number 978-3-319-24217-0, August.
    7. Qiu, Cheng & Colson, Gregory & Escalante, Cesar & Wetzstein, Michael, 2012. "Considering macroeconomic indicators in the food before fuel nexus," Energy Economics, Elsevier, vol. 34(6), pages 2021-2028.
    8. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    9. Alexandre Dolgui & Dmitry Ivanov & Maxim Rozhkov, 2020. "Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1285-1301, March.
    10. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    11. Dmitry Ivanov & Alexander Tsipoulanidis & Jörn Schönberger, 2017. "Erratum to: Global Supply Chain and Operations Management," Springer Texts in Business and Economics, in: Global Supply Chain and Operations Management, pages E1-E1, Springer.
    12. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    13. Spyros Makridakis & Andreas Merikas & Anna Merika & Mike G. Tsionas & Marwan Izzeldin, 2020. "A novel forecasting model for the Baltic dry index utilizing optimal squeezing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 56-68, January.
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    Cited by:

    1. Li Chen & Guang Zhang, 2022. "COVID-19 Effects on Arbitrage Trading in the Energy Market," Energies, MDPI, vol. 15(13), pages 1-13, June.
    2. Famiglietti, Matthew & Leibovici, Fernando, 2022. "The impact of health and economic policies on the spread of COVID-19 and economic activity," European Economic Review, Elsevier, vol. 144(C).
    3. Ghareeb Ahmad, 2023. "Time Time Series Forecasting of Stock Price for Maritime Shipping Company in COVID-19 Period Using Multi-Step Long Short-Term Memory (LSTM) Networks," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1728-1747, July.

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    More about this item

    Keywords

    COVID-19; Coronavirus; Baltic dry index; Crude oil prices;
    All these keywords.

    JEL classification:

    • F60 - International Economics - - Economic Impacts of Globalization - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

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