Abstract
Green innovations aim to improve and reduce the environmental impact of economic activities. Thus far, research focus on the positive trajectories of green transition. Continuing in this direction we focus on brown regions (i.e. specialized in fossil-fuel technologies) and the challenges that they face to become sustainable. Taking as example German Labour Market Regions we identify brown regions and measure their transition using an innovative approach based on Social Network Analysis and Knowledge Spaces. We find that the technological relatedness to green technologies, having a high life satisfaction in the region and the presence of the green party in the local government facilitate the transition. However, strong economic structures based on brown activities do not generally increase the transition speed. Our findings imply that technological and socio-economic characteristics influence the speed of transition, a dimension not yet accounted for in the sustainability transition literature.
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