Rural areas as winners of Covid-19, digitalization and remote working? Empirical evidence from recent internal migration in Germany
Bibliographic Data
| ID | 6417232 |
|---|---|
| Authors | Louis Knuepling (0000-0001-8072-2908, Leibniz University Hannover), Robert Sternberg (0000-0002-7649-0419, Leibniz University Hannover, corresponding author), Anne Otto (0000-0003-3563-3206, Leibniz University Hannover) |
| Year | 2024 |
| Volume | 18 |
| Issue | 1 |
| Pages | 227-248 |
| Publication date | 2024-10-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cambridge Journal of Regions Economy and Society (JOURNAL) |
| Journal identifiers | ISSN: 1752-1386 • E-ISSN: 1752-1378 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/cjres/rsae033 |
| OpenAlex | W4403853538 |
| Language | EN |
| Citations received | 7 |
| References cited | 65 |
The COVID-19 pandemic has caused economic crises and increased inter-regional economic disparities. However, the catalyst effect that the pandemic has had on digitalization may change the traditional pattern of internal migration, in favour of rural areas. Using time-sensitive register data we explain changes in net migration rates of German districts from an economic geography perspective. We show that, since the beginning of the pandemic, rural regions benefited more from migration. In particular, younger and highly skilled individuals increasingly move to rural areas. This confirms that rural regions can benefit from increasing remote work, but these effects differ across region types and individual skill levels
2019-20 coronavirus outbreak · Biology · Coronavirus disease 2019 (COVID-19 · Developing country · Development economics · Economic geography · Economic growth · Economics · Empirical evidence · Internal migration · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 Pandemic Impacts · Cultural Industries and Urban Development · Digital Economy and Work Transformation · Medicine · Virology
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| Unique citing works | 7 |
|---|---|
| Citations per year | 7 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |