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A koronavírus-járvány okozta válság vállalati kockázati térképe az első hullám hazai tapasztalatai alapján
[The risk map of the Covid-19 crisis based on first-wave experience in Hungary]

Author

Listed:
  • Juhász, Péter
  • Szabó, Ágnes

Abstract

A Covid-19-járvány okozta gazdasági válság a vállalatok többségét készületlenül érte 2020 elején, pedig sokak szerint a helyzet korántsem volt váratlan, sőt hasonló járványokra a jövőben is számítanunk kell. Éppen ezért különösen fontos a pandémia okozta kockázatok áttekintése, rendszerezése, hiszen ez lehet egy későbbi sikeres kockázatkezelés kiindulópontja. Kutatásunkban forráselemzéssel, kérdőívezéssel és mélyinterjúk segítségével azonosítottuk a vírushelyzet okozta vállalati kockázatokat, valamint elkészítettük a járvány kockázati térképét is. Eredményeink azt mutatják, hogy a pandémia hatásai az arra adott társadalmi reakciók függvényében világszerte eltérők voltak ugyan, de összességében csak a korábban már ismert és jórészt kezelt kockázatok előfordulási gyakorisága nőtt, illetve e kockázatok együttmozgása erősödött általuk. Ennek mértéke az egyes ágazatokban eltérő volt, ám korábban nem látott, új típusú kockázatokat nem lehetett azonosítani. Fontos rámutatni arra is, hogy e kockázatok - részben a társadalmi reakciók módosulásával, részben pedig a vállalati tapasztalatok gyarapodásával - idővel módosultak, és voltak köztük a vállalkozások számára pozitív hatások is. Journal of Economic Literature (JEL) kód: D81, G32, I15

Suggested Citation

  • Juhász, Péter & Szabó, Ágnes, 2021. "A koronavírus-járvány okozta válság vállalati kockázati térképe az első hullám hazai tapasztalatai alapján [The risk map of the Covid-19 crisis based on first-wave experience in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(S11), pages 126-153.
    • Handle: RePEc:ksa:szemle:2012
    DOI: 10.18414/KSZ.2021.k.126
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    References listed on IDEAS

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    7. 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).
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    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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