File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Regional geographies of intercity corporate networks: The use of exponential random graph models to assess regional network-formation

TitleRegional geographies of intercity corporate networks: The use of exponential random graph models to assess regional network-formation
Authors
KeywordsExponential random graph model (ERGM)
Intercity corporate networks
O18
Pattern and dynamics
R11
R12
Regional sub-networks
Issue Date2013
Citation
Papers in Regional Science, 2015, v. 94 n. 1, p. 109-126 How to Cite?
AbstractDrawing on the 'local buzz and global pipeline' perspective on the geographies of production in knowledge-intensive industries, our analysis associates observed network patterns with exogenous city characteristics (e.g., GDP and population) and endogenous local network structures (e.g., 'star' network structures) through exponential random graph models (ERGMs). Our analysis contributes to the quantitative analysis of urban systems and locational strategies of producer service firms, as we: (i) perform a direct two-mode network analysis of intercity corporate networks; (ii) explore the association between macro network patterns and local formation processes; and (iii) identify regional dynamics in network formation. © 2013 RSAI.
Persistent Identifierhttp://hdl.handle.net/10722/207499
ISSN
2015 Impact Factor: 1.144
2015 SCImago Journal Rankings: 0.838

 

DC FieldValueLanguage
dc.contributor.authorLiu, Xingjian-
dc.contributor.authorDerudder, Ben E N-
dc.contributor.authorLiu, Yaolin-
dc.date.accessioned2014-12-31T01:01:47Z-
dc.date.available2014-12-31T01:01:47Z-
dc.date.issued2013-
dc.identifier.citationPapers in Regional Science, 2015, v. 94 n. 1, p. 109-126-
dc.identifier.issn1056-8190-
dc.identifier.urihttp://hdl.handle.net/10722/207499-
dc.description.abstractDrawing on the 'local buzz and global pipeline' perspective on the geographies of production in knowledge-intensive industries, our analysis associates observed network patterns with exogenous city characteristics (e.g., GDP and population) and endogenous local network structures (e.g., 'star' network structures) through exponential random graph models (ERGMs). Our analysis contributes to the quantitative analysis of urban systems and locational strategies of producer service firms, as we: (i) perform a direct two-mode network analysis of intercity corporate networks; (ii) explore the association between macro network patterns and local formation processes; and (iii) identify regional dynamics in network formation. © 2013 RSAI.-
dc.languageeng-
dc.relation.ispartofPapers in Regional Science-
dc.subjectExponential random graph model (ERGM)-
dc.subjectIntercity corporate networks-
dc.subjectO18-
dc.subjectPattern and dynamics-
dc.subjectR11-
dc.subjectR12-
dc.subjectRegional sub-networks-
dc.titleRegional geographies of intercity corporate networks: The use of exponential random graph models to assess regional network-formation-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/pirs.12060-
dc.identifier.scopuseid_2-s2.0-84924810972-
dc.identifier.eissn1435-5957-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats