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The Impact of the COVID-19 Pandemic on the Economic Security of Russian Regions: Assessment of Resistance to the Spillover Effects of Epidemic Risks. / Kapustina, N.V.; Kuznetsov, Y.V.; Pilipchuk, N.V.; Materova, E.S.; Lisova, E.V.

Smart Green Innovations in Industry 4.0 for Climate Change Risk Management. Springer Nature, 2023. p. 451-460 (Environmental Footprints and Eco-Design of Products and Processes).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

Harvard

Kapustina, NV, Kuznetsov, YV, Pilipchuk, NV, Materova, ES & Lisova, EV 2023, The Impact of the COVID-19 Pandemic on the Economic Security of Russian Regions: Assessment of Resistance to the Spillover Effects of Epidemic Risks. in Smart Green Innovations in Industry 4.0 for Climate Change Risk Management. Environmental Footprints and Eco-Design of Products and Processes, Springer Nature, pp. 451-460. https://doi.org/10.1007/978-3-031-28457-1_46

APA

Kapustina, N. V., Kuznetsov, Y. V., Pilipchuk, N. V., Materova, E. S., & Lisova, E. V. (2023). The Impact of the COVID-19 Pandemic on the Economic Security of Russian Regions: Assessment of Resistance to the Spillover Effects of Epidemic Risks. In Smart Green Innovations in Industry 4.0 for Climate Change Risk Management (pp. 451-460). (Environmental Footprints and Eco-Design of Products and Processes). Springer Nature. https://doi.org/10.1007/978-3-031-28457-1_46

Vancouver

Kapustina NV, Kuznetsov YV, Pilipchuk NV, Materova ES, Lisova EV. The Impact of the COVID-19 Pandemic on the Economic Security of Russian Regions: Assessment of Resistance to the Spillover Effects of Epidemic Risks. In Smart Green Innovations in Industry 4.0 for Climate Change Risk Management. Springer Nature. 2023. p. 451-460. (Environmental Footprints and Eco-Design of Products and Processes). https://doi.org/10.1007/978-3-031-28457-1_46

Author

Kapustina, N.V. ; Kuznetsov, Y.V. ; Pilipchuk, N.V. ; Materova, E.S. ; Lisova, E.V. / The Impact of the COVID-19 Pandemic on the Economic Security of Russian Regions: Assessment of Resistance to the Spillover Effects of Epidemic Risks. Smart Green Innovations in Industry 4.0 for Climate Change Risk Management. Springer Nature, 2023. pp. 451-460 (Environmental Footprints and Eco-Design of Products and Processes).

BibTeX

@inbook{3ee95a94c22c447297ca28e0544508c4,
title = "The Impact of the COVID-19 Pandemic on the Economic Security of Russian Regions: Assessment of Resistance to the Spillover Effects of Epidemic Risks",
abstract = "The research aims to identify the spillover effects of epidemic risks for the economic security of Russian regions and propose a system of measures for their leveling at the stage of post-pandemic recovery. The research substantiates the hypothesis that epidemic risks of economic security have spillover effects on the economy of Russian regions, increasing the impact of a combination of traditional risks and provoking the emergence of new risks. The authors proposed a system of indicators and a methodology for assessing the stability of regional economic systems to the spillover effects of epidemic risks based on the use of a statistical method for calculating integral indicators. The results of the calculations made it possible to rank the regions of Russia by the level of resistance to the spillover effects of epidemic risks to economic security. It is proved that the Southern Federal District has the greatest resistance to spillover effects. Ranking of regions by the indicator of resistance to spillover effects allowed the authors to propose a model of economic security management for two types of regional economic systems. For regions resistant to spillover effects, it is recommended to implement a set of measures aimed at strengthening internal potential. For regions unstable to the spillover effect, a sequence of actions is proposed based on leveling the negative impact of the spillover effects and the subsequent implementation of measures to strengthen internal potential.",
keywords = "Economic security, Epidemic risks, Pandemic, Post-crisis recovery, Region, Regional economic system, Risk leveling, Spillover effects",
author = "N.V. Kapustina and Y.V. Kuznetsov and N.V. Pilipchuk and E.S. Materova and E.V. Lisova",
year = "2023",
month = may,
day = "17",
doi = "10.1007/978-3-031-28457-1_46",
language = "English",
isbn = "978-3-031-28456-4",
series = "Environmental Footprints and Eco-Design of Products and Processes",
publisher = "Springer Nature",
pages = "451--460",
booktitle = "Smart Green Innovations in Industry 4.0 for Climate Change Risk Management",
address = "Germany",

}

RIS

TY - CHAP

T1 - The Impact of the COVID-19 Pandemic on the Economic Security of Russian Regions: Assessment of Resistance to the Spillover Effects of Epidemic Risks

AU - Kapustina, N.V.

AU - Kuznetsov, Y.V.

AU - Pilipchuk, N.V.

AU - Materova, E.S.

AU - Lisova, E.V.

PY - 2023/5/17

Y1 - 2023/5/17

N2 - The research aims to identify the spillover effects of epidemic risks for the economic security of Russian regions and propose a system of measures for their leveling at the stage of post-pandemic recovery. The research substantiates the hypothesis that epidemic risks of economic security have spillover effects on the economy of Russian regions, increasing the impact of a combination of traditional risks and provoking the emergence of new risks. The authors proposed a system of indicators and a methodology for assessing the stability of regional economic systems to the spillover effects of epidemic risks based on the use of a statistical method for calculating integral indicators. The results of the calculations made it possible to rank the regions of Russia by the level of resistance to the spillover effects of epidemic risks to economic security. It is proved that the Southern Federal District has the greatest resistance to spillover effects. Ranking of regions by the indicator of resistance to spillover effects allowed the authors to propose a model of economic security management for two types of regional economic systems. For regions resistant to spillover effects, it is recommended to implement a set of measures aimed at strengthening internal potential. For regions unstable to the spillover effect, a sequence of actions is proposed based on leveling the negative impact of the spillover effects and the subsequent implementation of measures to strengthen internal potential.

AB - The research aims to identify the spillover effects of epidemic risks for the economic security of Russian regions and propose a system of measures for their leveling at the stage of post-pandemic recovery. The research substantiates the hypothesis that epidemic risks of economic security have spillover effects on the economy of Russian regions, increasing the impact of a combination of traditional risks and provoking the emergence of new risks. The authors proposed a system of indicators and a methodology for assessing the stability of regional economic systems to the spillover effects of epidemic risks based on the use of a statistical method for calculating integral indicators. The results of the calculations made it possible to rank the regions of Russia by the level of resistance to the spillover effects of epidemic risks to economic security. It is proved that the Southern Federal District has the greatest resistance to spillover effects. Ranking of regions by the indicator of resistance to spillover effects allowed the authors to propose a model of economic security management for two types of regional economic systems. For regions resistant to spillover effects, it is recommended to implement a set of measures aimed at strengthening internal potential. For regions unstable to the spillover effect, a sequence of actions is proposed based on leveling the negative impact of the spillover effects and the subsequent implementation of measures to strengthen internal potential.

KW - Economic security

KW - Epidemic risks

KW - Pandemic

KW - Post-crisis recovery

KW - Region

KW - Regional economic system

KW - Risk leveling

KW - Spillover effects

UR - https://www.mendeley.com/catalogue/ad5d7fc5-3c8d-3827-a3fe-163211756804/

U2 - 10.1007/978-3-031-28457-1_46

DO - 10.1007/978-3-031-28457-1_46

M3 - Chapter

SN - 978-3-031-28456-4

SN - 978-3-031-28457-1

T3 - Environmental Footprints and Eco-Design of Products and Processes

SP - 451

EP - 460

BT - Smart Green Innovations in Industry 4.0 for Climate Change Risk Management

PB - Springer Nature

ER -

ID: 106353385