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Article: A stochastic actor-based modelling of the evolution of an intercity corporate network

TitleA stochastic actor-based modelling of the evolution of an intercity corporate network
Authors
KeywordsAdvanced producer service
Stochastic-actor based models
Two-mode networks
Network evolution
Intercity corporate network
Issue Date2013
Citation
Environment and Planning A, 2013, v. 45, n. 4, p. 947-966 How to Cite?
AbstractWe adopt a stochastic actor-based modelling framework to present a longitudinal analysis of an intercity corporate network formed by 53 globalised advanced producer service firms across 107 cities for three different time points in the period 2000-10. Our longitudinal framework allows us to investigate the different processes underlying firm networks' dynamics. The observed network changes are explained by a combination of exogenous city characteristics (eg, GDP and population) and endogenous local network structures (eg, 'star' and '4-cycle' structures). Our analysis contributes to an understanding of how interactions amongst cities and firms at the local scale give rise to the empirically observed network patterns at the global scale. © 2013 Pion and its Licensors.
Persistent Identifierhttp://hdl.handle.net/10722/207529
ISSN
2015 Impact Factor: 1.46
2015 SCImago Journal Rankings: 1.460

 

DC FieldValueLanguage
dc.contributor.authorLiu, Xingjian-
dc.contributor.authorDerudder, Ben E N-
dc.contributor.authorLiu, Yaolin-
dc.contributor.authorWitlox, Frank J.-
dc.contributor.authorShen, Wei-
dc.date.accessioned2014-12-31T01:01:50Z-
dc.date.available2014-12-31T01:01:50Z-
dc.date.issued2013-
dc.identifier.citationEnvironment and Planning A, 2013, v. 45, n. 4, p. 947-966-
dc.identifier.issn0308-518X-
dc.identifier.urihttp://hdl.handle.net/10722/207529-
dc.description.abstractWe adopt a stochastic actor-based modelling framework to present a longitudinal analysis of an intercity corporate network formed by 53 globalised advanced producer service firms across 107 cities for three different time points in the period 2000-10. Our longitudinal framework allows us to investigate the different processes underlying firm networks' dynamics. The observed network changes are explained by a combination of exogenous city characteristics (eg, GDP and population) and endogenous local network structures (eg, 'star' and '4-cycle' structures). Our analysis contributes to an understanding of how interactions amongst cities and firms at the local scale give rise to the empirically observed network patterns at the global scale. © 2013 Pion and its Licensors.-
dc.languageeng-
dc.relation.ispartofEnvironment and Planning A-
dc.subjectAdvanced producer service-
dc.subjectStochastic-actor based models-
dc.subjectTwo-mode networks-
dc.subjectNetwork evolution-
dc.subjectIntercity corporate network-
dc.titleA stochastic actor-based modelling of the evolution of an intercity corporate network-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1068/a45350-
dc.identifier.scopuseid_2-s2.0-84876428179-
dc.identifier.volume45-
dc.identifier.issue4-
dc.identifier.spage947-
dc.identifier.epage966-
dc.identifier.eissn1472-3409-

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