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Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies

doi: 10.3390/su12051845
We compare intra-urban localization patterns of advertising and IT companies in three large Czech cities. The main aim of our analysis is an empirically-based contribution to the question to what extent do knowledge bases affect the spatial distribution of various knowledge-intensive business industries. The central research question is: To what extent is the localization of these two industries influenced by different modes of innovation/knowledge bases (symbolic vs. synthetic) and to what extent by contextual factors, such as urban size, morphology, position in the urban hierarchy and economic profile of the given city. We found that the urban contexts shape the localization patterns of advertising and IT companies more than differences in knowledge bases—both industries cluster primarily in the inner cities and urban cores. Formation of more suburban IT “scientific neighborhoods” is limited.
- Vysoká škola báňská-Technická univerzita Ostrava (VŠB Technical University of Ostrava) Czech Republic
- Vysoká škola báňská-Technická univerzita Ostrava (VŠB Technical University of Ostrava) Czech Republic
- Technical University of Ostrava Czech Republic
- University of Ostrava Czech Republic
- University of Ostrava Czech Republic
Environmental effects of industries and plants, hubs, TJ807-830, TD194-195, KIBS, localization, Renewable energy sources, Environmental sciences, urban morphology, cities, GE1-350, kibs
Environmental effects of industries and plants, hubs, TJ807-830, TD194-195, KIBS, localization, Renewable energy sources, Environmental sciences, urban morphology, cities, GE1-350, kibs
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).17 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
