Dijkman, Maarten (2023) Automation and the Risk of Job Loss: The Case of German Regions. Bachelor thesis.
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Abstract
Besides routine tasks, more creative and skillful jobs are increasingly more at risk of automation due to the continuous technological advancements. Policymakers are currently operating in a knowledge vacuum. Therefore, more clarity is needed on the impacts of automation, and especially little is known regarding the spatially contingent implications. This research aimed to discover the relationship between the risk of people losing their jobs, and population density. This relationship is discovered in the context of regions in Germany with the use of an explorative data analysis and a statistical analysis. This study finds a strong negative correlation between population density and the proportion of jobs at high risk of automation. Furthermore, this study concludes that the creativity and diversity of jobs available in more densely populated areas make them more resilient to automation, and that a higher proportion of higher educated people in a region makes them less susceptible to automation.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Degree programme: | Human Geography and Planning |
| Supervisor: | Edzes, A.J.E. and Kruijf, B.J. de |
| Date Deposited: | 13 Jul 2023 09:02 |
| Last Modified: | 13 Jul 2023 09:02 |
| URI: | https://frw.studenttheses.ub.rug.nl/id/eprint/4203 |
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