Show simple item record

dc.contributor.authorZenka, Jan
dc.contributor.authorSlach, Ondřej
dc.contributor.authorIvan, Igor
dc.date.accessioned2020-05-19T11:28:28Z
dc.date.available2020-05-19T11:28:28Z
dc.date.issued2020
dc.identifier.citationSustainability. 2020, vol. 12, issue 5, art. no. 1845.cs
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10084/139490
dc.description.abstractWe 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.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSustainabilitycs
dc.relation.urihttp://doi.org/10.3390/su12051845cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectlocalizationcs
dc.subjecthubscs
dc.subjectcitiescs
dc.subjecturban morphologycs
dc.subjectKIBScs
dc.titleSpatial patterns of knowledge-intensive business services in cities of various sizes, morphologies and economiescs
dc.typearticlecs
dc.identifier.doi10.3390/su12051845
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume12cs
dc.description.issue5cs
dc.description.firstpageart. no. 1845cs
dc.identifier.wos000522470900146


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.