Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование
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. стр. 451-460 (Environmental Footprints and Eco-Design of Products and Processes).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование
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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