Cunha-e-Sá, Maria AntonietaVaz, João Manuel LameirasGassen, Nicolas2025-02-122025-02-122024-06-182023-12-20http://hdl.handle.net/10362/178880We use spatial analysis to identify exposure and resilience of German administrative districts to carbon transition. Regional shares of employment in five energy-intensive industries and the automotive sector are calculated as a measure of exposure. A set of demographic and socio-economic indicators measure the resilience of these administrative districts. Our results show that exposure is concentrated in a few regions. Resilience differs significantly regionally; interestingly, regions with particular industries show remarkably different resilience prospects. We provide granular data to policymakers aiming to sustainably drive carbon transition, highlighting the need for targeted region- and industry-specific policy measures, supporting communities nationwide.engExposureSpatial analysisGermanyManufacturing sectorCarbon transitionResilienceNuts3The carbon transition in the manufacturing sector and regional employment dependencies: analysing exposures and resiliencies of German administrative districts using spatial analysismaster thesis203864000