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How do economic activities spur the COVID-19 pandemic in Russia? A dynamic panel data analysis

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  • Ichiro Iwasaki

Abstract

Russia is one of the few countries in the world that has opted for almost no policy measures involving the strong suppression of economic activity in the face of the epidemic disaster brought about by the new coronavirus (COVID-19). This makes Russia a valuable subject of social experiments through which the association between economic activity and the spread of the virus can be explored. This paper presents a dynamic panel data analysis to examine the extent to which different types of economic activity contribute to the spread of COVID-19 infection using monthly and quarterly panel data of Russian regions between March 2020 and April 2021. The results strongly supported our expectation that economic activities have a greater impact on the levels of COVID-19 transmission when they involve a larger number of inhabitants or stimulate greater consumption or social activities among citizens. It was also revealed that Russian regions vary greatly in terms of the routes that link economic activity to the spread of COVID-19. These results have important policy implications for current and future epidemic control.

Suggested Citation

  • Ichiro Iwasaki, 2023. "How do economic activities spur the COVID-19 pandemic in Russia? A dynamic panel data analysis," Post-Communist Economies, Taylor & Francis Journals, vol. 35(1), pages 59-81, January.
    • Handle: RePEc:taf:pocoec:v:35:y:2023:i:1:p:59-81
    DOI: 10.1080/14631377.2022.2104508
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    1. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    2. Christopher Mark Davis, 2021. "Readiness and resilience of the health systems of the UK and Russia during Covid-19 epidemics in 2020-2021: impacts of priorities, shortages and rationing," Post-Communist Economies, Taylor & Francis Journals, vol. 33(1), pages 1-63, January.
    3. Ruslan Dokhov & Mikhail Topnikov, 2021. "Everyday mobility as a vulnerability marker: The uneven reaction to coronavirus lockdown in Russia," Environment and Planning A, , vol. 53(4), pages 612-615, June.
    4. Ma, Richie Ruchuan & Xiong, Tao & Bao, Yukun, 2021. "The Russia-Saudi Arabia oil price war during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 102(C).
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    Cited by:

    1. Alexander D. Volkov & Natalia A. Roslyakova & Anastasia V. Vasilieva & Alexander O. Averyanov & Sergey V. Tishkov & Ekaterina V. Nalivaychenko, 2024. "Preferential Regime of the Russian Arctic: Tendencies and First Results from Realization of the World’s Largest Special Economic Zone," JRFM, MDPI, vol. 17(1), pages 1-39, January.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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