{"title":"面对COVID-19,俄罗斯各地区的复原力","authors":"O. Chernova, Danil Sergeyevich Gridnev","doi":"10.15196/RS130104","DOIUrl":null,"url":null,"abstract":"The spread of the COVID-19 pandemic has radically changed our views on regional resilience. This article examines the responses of Russian regional economies to the pandemic, identifying the common features and differences between them. This study emphasises that regions adapted to the factors of the pandemic in a non-linear manner. Thus, the socio-economic situation in the regions at the beginning of each wave is described by a new data structure. The latter, in its turn, is determined by the adaptation capabilities of the region. An affinity propagation algorithm was employed to cluster these regions. They were then grouped according to their responses to the pandemic. The results of the analysis showed that regional responses to the pandemic depended on sectoral specialisation, the level of socioeconomic development, and the degree of urbanisation. Low-urbanised regions with agro-industrial specialisation demonstrated a higher level of resilience. Innovation-active regions with many external linkages were the most vulnerable to shocks. One of the main conclusions is that economic diversification in the form of \"unconnected diversity' acted as a shock absorber, diminishing the impact of the pandemic.","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilience of Russian regions in the face of COVID-19\",\"authors\":\"O. Chernova, Danil Sergeyevich Gridnev\",\"doi\":\"10.15196/RS130104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The spread of the COVID-19 pandemic has radically changed our views on regional resilience. This article examines the responses of Russian regional economies to the pandemic, identifying the common features and differences between them. This study emphasises that regions adapted to the factors of the pandemic in a non-linear manner. Thus, the socio-economic situation in the regions at the beginning of each wave is described by a new data structure. The latter, in its turn, is determined by the adaptation capabilities of the region. An affinity propagation algorithm was employed to cluster these regions. They were then grouped according to their responses to the pandemic. The results of the analysis showed that regional responses to the pandemic depended on sectoral specialisation, the level of socioeconomic development, and the degree of urbanisation. Low-urbanised regions with agro-industrial specialisation demonstrated a higher level of resilience. Innovation-active regions with many external linkages were the most vulnerable to shocks. One of the main conclusions is that economic diversification in the form of \\\"unconnected diversity' acted as a shock absorber, diminishing the impact of the pandemic.\",\"PeriodicalId\":44388,\"journal\":{\"name\":\"Regional Statistics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regional Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15196/RS130104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15196/RS130104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Resilience of Russian regions in the face of COVID-19
The spread of the COVID-19 pandemic has radically changed our views on regional resilience. This article examines the responses of Russian regional economies to the pandemic, identifying the common features and differences between them. This study emphasises that regions adapted to the factors of the pandemic in a non-linear manner. Thus, the socio-economic situation in the regions at the beginning of each wave is described by a new data structure. The latter, in its turn, is determined by the adaptation capabilities of the region. An affinity propagation algorithm was employed to cluster these regions. They were then grouped according to their responses to the pandemic. The results of the analysis showed that regional responses to the pandemic depended on sectoral specialisation, the level of socioeconomic development, and the degree of urbanisation. Low-urbanised regions with agro-industrial specialisation demonstrated a higher level of resilience. Innovation-active regions with many external linkages were the most vulnerable to shocks. One of the main conclusions is that economic diversification in the form of "unconnected diversity' acted as a shock absorber, diminishing the impact of the pandemic.
期刊介绍:
The periodical welcomes studies, research and conference reports, book reviews, discussion articles reflecting on our former articles. The periodical welcomes articles from the following areas: regional statistics, regional science, social geography, regional planning, sociology, geographical information science Goals of the journal: high-level studies in the field of regional analyses, to encourage the exchange of views and discussion among researchers in the area of regional researches.