IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v10y2022i6p136-d835014.html

Impact of COVID-19 on the Russian Labor Market: Comparative Analysis of the Physical and Informational Spread of the Coronavirus

Author

Listed:
  • Dmitriy Rodionov

    (Graduate School of Industrial Economics, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia)

  • Anastasia Ivanova

    (Graduate School of Industrial Economics, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia)

  • Olga Konnikova

    (Department of Marketing, Saint-Petersburg State University of Economics, 191023 Saint Petersburg, Russia)

  • Evgenii Konnikov

    (Graduate School of Industrial Economics, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia)

Abstract

The aim of the article is to investigate the impact of the new coronavirus infection on the Russian labor market and to suppose the actions to be taken to minimize negative economic consequences. The distinctiveness of this study is the differentiation of the impact of the physical and informational spread of COVID-19. The informational spread of coronavirus is measured through the dynamics of news messages related to the topic of “coronavirus” in the largest Russian media. The analysis of the average level of wages by type of economic activity, as well as the demand of employers and the number of vacancies, allow testing the hypothesis that the physical and informational spread of coronavirus caused an increase in the number of unemployed, a decrease in average wages in the studied range of economic activities, an increase in supply on the labor market, and a decrease in demand for employees. Another task of the study is to assess the dynamics of related search queries in Yandex (Russian biggest search engine), which can help to reveal the logic in the behavior of the Russian people during the pandemic as well as to understand if the Russian economy, the labor market, and society were prepared for the changes caused by the pandemic. Using a regression modeling methodology, it was found that the influence of the information environment, namely the informational spread of coronavirus, had an even greater impact on studied parameters than the physical spread. A “delay effect of physical consequences” was discovered. The conclusions obtained showed that in the conditions of wide informatization of society, it is necessary to systematically influence the physical and informational spread of coronavirus to minimize the negative consequences of the pandemic on the labor market.

Suggested Citation

  • Dmitriy Rodionov & Anastasia Ivanova & Olga Konnikova & Evgenii Konnikov, 2022. "Impact of COVID-19 on the Russian Labor Market: Comparative Analysis of the Physical and Informational Spread of the Coronavirus," Economies, MDPI, vol. 10(6), pages 1-22, June.
  • Handle: RePEc:gam:jecomi:v:10:y:2022:i:6:p:136-:d:835014
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/10/6/136/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/10/6/136/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Forman, Rebecca & Atun, Rifat & McKee, Martin & Mossialos, Elias, 2020. "12 Lessons learned from the management of the coronavirus pandemic," Health Policy, Elsevier, vol. 124(6), pages 577-580.
    2. Karlsson, Martin & Nilsson, Therese & Pichler, Stefan, 2014. "The impact of the 1918 Spanish flu epidemic on economic performance in Sweden," Journal of Health Economics, Elsevier, vol. 36(C), pages 1-19.
    Full references (including those not matched with items on IDEAS)

    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. Matthias Klumpp & Dominic Loske & Silvio Bicciato, 2022. "COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1263-1285, November.
    2. Bibhuti Sarker, 2025. "Factors affecting firm‐level job cuts during the COVID‐19 pandemic: A cross‐country evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1873-1892, April.
    3. Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    4. Kumar, Anand & Priya, Bhawna & Srivastava, Samir K., 2021. "Response to the COVID-19: Understanding implications of government lockdown policies," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 76-94.
    5. Ilan Noy & Toshihiro Okubo & Eric Strobl, 2023. "The Japanese textile sector and the influenza pandemic of 1918–1920," Journal of Regional Science, Wiley Blackwell, vol. 63(5), pages 1192-1227, November.
    6. Sebastian Vollmer & Juditha Wójcik, 2017. "The long-term consequences of the global 1918 influenza pandemic: A systematic analysis of 117 IPUMS international census data sets," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 242, Courant Research Centre PEG.
    7. Fraser Summerfield & Livio Di Matteo, 2021. "Influenza Pandemics and Macroeconomic Fluctuations in Recent Economic History," Working Papers 210002, Canadian Centre for Health Economics.
    8. Theologos Dergiades & Costas Milas & Elias Mossialos & Theodore Panagiotidis, 2021. "Effectiveness of Government Policies in Response to the COVID-19 Outbreak," Discussion Paper Series 2021_05, Department of Economics, University of Macedonia, revised Feb 2021.
    9. Refolo, Pietro & Bloemen, Bart & Corsano, Barbara & Grin, John & Gutierrez-Ibarluzea, Iñaki & Hofmann, Bjørn & Oortwijn, Wija & Sampietro-Colom, Laura & Sandman, Lars & van der Wilt, Gert Jan & Sacchi, 2022. "Prioritization of COVID-19 vaccination. The added value of the “VALIDATE” approach," Health Policy, Elsevier, vol. 126(8), pages 770-776.
    10. Basco, Sergi & Domènech, Jordi & Rosés, Joan R., 2021. "The redistributive effects of pandemics: Evidence on the Spanish flu," World Development, Elsevier, vol. 141(C).
    11. Catalina Amuedo-Dorantes & Neeraj Kaushal & Ashley N. Muchow, 2021. "Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1445-1472, October.
    12. Mario COCCIA, 2021. "How to measure the environmental and health risk of exposure to future epidemics in cities?," Journal of Economic and Social Thought, EconSciences Journals, vol. 8(1), pages 25-41, March.
    13. Bruno Carvalho & Susana Peralta & Joao Pereira dos Santos, 2020. "What and how did people buy during the Great Lockdown? Evidence from electronic payments," Working Papers ECARES 2020-20, ULB -- Universite Libre de Bruxelles.
    14. Pichler, Stefan & Ziebarth, Nicolas R., 2015. "The Pros and Cons of Sick Pay Schemes: A Method to Test for Contagious Presenteeism and Shirking Behavior," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112940, Verein für Socialpolitik / German Economic Association.
    15. Graziella Bertocchi & Arcangelo Dimico, 2020. "COVID-19, Race, and Redlining," EIEF Working Papers Series 2018, Einaudi Institute for Economics and Finance (EIEF), revised Jul 2020.
    16. Xianhang Qian, 2021. "The impact of COVID-19 pandemic on insurance demand: the case of China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1017-1024, September.
    17. Helgertz, Jonas & Nilsson, Anton, 2017. "The Effects of Birth Weight on Hospitalizations and Sickness Absences," Lund Papers in Economic History 157, Lund University, Department of Economic History.
    18. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    19. Aubin VIGNOBOUL, 2022. "The winds of inequalities: How hurricanes impact inequalities at the macro level?," LEO Working Papers / DR LEO 2986, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    20. Debele, Efa Tadesse, 2021. "Social Resilience and Challenges of Covid-19," Technium Business and Management, Technium Science, vol. 1(1), pages 19-29.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:gam:jecomi:v:10:y:2022:i:6:p:136-:d:835014. 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: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    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.