Resilience, robustness and adaptivity: Large urban Russian Federation regions during the COVID-19 crisis
An analysis of the response of highly urbanized Russian regions to the onset of the Covid-19 pandemic shows that regions with a high urban population share and many small and medium-sized businesses were most vulnerable; that regional differences were largely determined by the severity of health-rel...
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| Vydané v: | Area development and policy Ročník 7; číslo 2; s. 222 - 244 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Routledge
03.04.2022
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| ISSN: | 2379-2949, 2379-2957 |
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| Abstract | An analysis of the response of highly urbanized Russian regions to the onset of the Covid-19 pandemic shows that regions with a high urban population share and many small and medium-sized businesses were most vulnerable; that regional differences were largely determined by the severity of health-related restrictions on business and social activity; and the extent to which regionally differentiated economic support measures and the adoption of digital technologies, new delivery methods, and a focus on new sectors stabilized aggregate supply and demand. Examination of the evolution of a resilience index permits identification of four paths: adaptively stable, vulnerable labile-adaptive, remission-adaptive and low-adaptive economies, and it reinforces the interpretation of the main drivers of regional resilience. |
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| AbstractList | An analysis of the response of highly urbanized Russian regions to the onset of the Covid-19 pandemic shows that regions with a high urban population share and many small and medium-sized businesses were most vulnerable; that regional differences were largely determined by the severity of health-related restrictions on business and social activity; and the extent to which regionally differentiated economic support measures and the adoption of digital technologies, new delivery methods, and a focus on new sectors stabilized aggregate supply and demand. Examination of the evolution of a resilience index permits identification of four paths: adaptively stable, vulnerable labile-adaptive, remission-adaptive and low-adaptive economies, and it reinforces the interpretation of the main drivers of regional resilience. |
| Author | Usoltceva, Anastasiia A. Chernova, Olga A. Turgel, Irina D. |
| Author_xml | – sequence: 1 givenname: Irina D. orcidid: 0000-0001-8647-7739 surname: Turgel fullname: Turgel, Irina D. email: i.d.turgel@urfu.ru organization: Ural Federal University – sequence: 2 givenname: Olga A. orcidid: 0000-0001-5072-7070 surname: Chernova fullname: Chernova, Olga A. organization: Southern Federal University – sequence: 3 givenname: Anastasiia A. orcidid: 0000-0003-1425-3239 surname: Usoltceva fullname: Usoltceva, Anastasiia A. organization: Ural Federal University |
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| SubjectTerms | adaptabilidad adaptivity adaptivity index Covid-19 crisis crisis de la Covid-19 Federación Rusa regiones urbanizadas resilience resiliencia robustness Russian Federation solidez urbanized regions índice de adaptabilidad адаптивность жизнестойкость индекс адаптивности кризис пандемия Covid-19 прочность Российская Федерация урбанизированные регионы 俄罗斯联邦 城市化地区 恢复力 新冠肺炎危机 稳健性 适应性 适应指标 |
| Title | Resilience, robustness and adaptivity: Large urban Russian Federation regions during the COVID-19 crisis |
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