TY - JOUR

T1 - Spread of the COVID-19 In Russia: Regional Peculiarities

AU - Kravchenko, N. A.

AU - Ivanova, A. I.

N1 - Funding Information: The study was supported by the Russian Foundation for Basic Research (project no. 19-010-00731 “Comprehensive Analysis of the Heterogeneity of Russian Regions and Assessment of Its Impact on Socioeconomic Development”). Publisher Copyright: © 2021, Pleiades Publishing, Ltd.

PY - 2021/10

Y1 - 2021/10

N2 - The spread of COVID-19 is highly differentiated both between countries and between territories within countries. The main aim of this article is to identify the characteristics of regions that affect the scale of spread of coronavirus infection in the Russian Federation during the second wave of the pandemic. Using econometric modeling methods, the dependences between a number of regional characteristics reflecting the vulnerability of regions and their ability to resist infection were assessed, in addition to the scale of the spread of coronavirus infection. The wealth of a region and social capital of its population became the factors of resistance. The populations of wealthier Russian regions are less exposed to infection, while the most vulnerable are poorer regions, regions with a high population density, poorer environmental quality, and older populations. The article demonstrates the role of social capital in resisting a pandemic: higher quality social capital is associated with lower infection and mortality rates. The findings can be used to inform regional policy measures to potentially reduce COVID-19 and other infections.

AB - The spread of COVID-19 is highly differentiated both between countries and between territories within countries. The main aim of this article is to identify the characteristics of regions that affect the scale of spread of coronavirus infection in the Russian Federation during the second wave of the pandemic. Using econometric modeling methods, the dependences between a number of regional characteristics reflecting the vulnerability of regions and their ability to resist infection were assessed, in addition to the scale of the spread of coronavirus infection. The wealth of a region and social capital of its population became the factors of resistance. The populations of wealthier Russian regions are less exposed to infection, while the most vulnerable are poorer regions, regions with a high population density, poorer environmental quality, and older populations. The article demonstrates the role of social capital in resisting a pandemic: higher quality social capital is associated with lower infection and mortality rates. The findings can be used to inform regional policy measures to potentially reduce COVID-19 and other infections.

KW - COVID-19 pandemic

KW - Russian regions

KW - social capital

KW - vulnerability and resistance factors

UR - http://www.scopus.com/inward/record.url?scp=85121759752&partnerID=8YFLogxK

UR - https://www.elibrary.ru/item.asp?id=47547532

UR - https://www.mendeley.com/catalogue/c29910a7-9d34-3ca8-a435-f377f9c2f4e5/

U2 - 10.1134/S2079970521040080

DO - 10.1134/S2079970521040080

M3 - Article

AN - SCOPUS:85121759752

VL - 11

SP - 428

EP - 434

JO - Regional Research of Russia

JF - Regional Research of Russia

SN - 2079-9705

IS - 4

M1 - 3

ER -