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- Publisher Website: 10.1111/pirs.12060
- Scopus: eid_2-s2.0-84924810972
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Article: Regional geographies of intercity corporate networks: The use of exponential random graph models to assess regional network-formation
Title | Regional geographies of intercity corporate networks: The use of exponential random graph models to assess regional network-formation |
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Authors | |
Keywords | Exponential random graph model (ERGM) Intercity corporate networks O18 Pattern and dynamics R11 R12 Regional sub-networks |
Issue Date | 2013 |
Citation | Papers in Regional Science, 2015, v. 94 n. 1, p. 109-126 How to Cite? |
Abstract | Drawing 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 Identifier | http://hdl.handle.net/10722/207499 |
ISSN | 2023 Impact Factor: 2.4 2023 SCImago Journal Rankings: 0.842 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liu, Xingjian | - |
dc.contributor.author | Derudder, Ben E N | - |
dc.contributor.author | Liu, Yaolin | - |
dc.date.accessioned | 2014-12-31T01:01:47Z | - |
dc.date.available | 2014-12-31T01:01:47Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Papers in Regional Science, 2015, v. 94 n. 1, p. 109-126 | - |
dc.identifier.issn | 1056-8190 | - |
dc.identifier.uri | http://hdl.handle.net/10722/207499 | - |
dc.description.abstract | Drawing 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.language | eng | - |
dc.relation.ispartof | Papers in Regional Science | - |
dc.subject | Exponential random graph model (ERGM) | - |
dc.subject | Intercity corporate networks | - |
dc.subject | O18 | - |
dc.subject | Pattern and dynamics | - |
dc.subject | R11 | - |
dc.subject | R12 | - |
dc.subject | Regional sub-networks | - |
dc.title | Regional geographies of intercity corporate networks: The use of exponential random graph models to assess regional network-formation | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1111/pirs.12060 | - |
dc.identifier.scopus | eid_2-s2.0-84924810972 | - |
dc.identifier.eissn | 1435-5957 | - |
dc.identifier.isi | WOS:000351467500007 | - |
dc.identifier.issnl | 1056-8190 | - |