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

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 indust...

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Main Authors: Jan Ženka, Ondřej Slach, Igor Ivan
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/5/1845
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spelling doaj-4561cae8f46643f1aaab10f6526db8d02020-11-25T01:48:39ZengMDPI AGSustainability2071-10502020-03-01125184510.3390/su12051845su12051845Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and EconomiesJan Ženka0Ondřej Slach1Igor Ivan2Department of Human Geography and Regional Development, University of Ostrava, Ostrava 702 00, Czech RepublicDepartment of Human Geography and Regional Development, University of Ostrava, Ostrava 702 00, Czech RepublicDepartment of Geoinformatics, VSB-Technical University of Ostrava, Ostrava 708 00, Czech RepublicWe 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.https://www.mdpi.com/2071-1050/12/5/1845localizationhubscitiesurban morphologykibs
collection DOAJ
language English
format Article
sources DOAJ
author Jan Ženka
Ondřej Slach
Igor Ivan
spellingShingle Jan Ženka
Ondřej Slach
Igor Ivan
Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies
Sustainability
localization
hubs
cities
urban morphology
kibs
author_facet Jan Ženka
Ondřej Slach
Igor Ivan
author_sort Jan Ženka
title Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies
title_short Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies
title_full Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies
title_fullStr Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies
title_full_unstemmed Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies
title_sort spatial patterns of knowledge-intensive business services in cities of various sizes, morphologies and economies
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-03-01
description 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.
topic localization
hubs
cities
urban morphology
kibs
url https://www.mdpi.com/2071-1050/12/5/1845
work_keys_str_mv AT janzenka spatialpatternsofknowledgeintensivebusinessservicesincitiesofvarioussizesmorphologiesandeconomies
AT ondrejslach spatialpatternsofknowledgeintensivebusinessservicesincitiesofvarioussizesmorphologiesandeconomies
AT igorivan spatialpatternsofknowledgeintensivebusinessservicesincitiesofvarioussizesmorphologiesandeconomies
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