Mapping the position of cities in corporate research and development through a gravity model-based bidimensional regression analysis
dc.contributor.author | Tóth, Géza | |
dc.contributor.author | Csomós, György | |
dc.date.accessioned | 2016-10-12T09:16:26Z | |
dc.date.available | 2016-10-12T09:16:26Z | |
dc.date.issued | 2016 | |
dc.date.oa | 2018-04-25 | |
dc.date.pasync | 2017-12-01T09:43:00Z | |
dc.date.updated | 2017-12-01T09:43:00Z | |
dc.description.corrector | LB | |
dc.identifier.citation | Regional Statistics. - 6 : 1 (2016), p. 217-220. -Reg. Stat. - 2063-9538. - 2064-8243 | |
dc.identifier.doi | http://dx.doi.org/10.15196/RS06111 | |
dc.identifier.issn | 2063-9538 | |
dc.identifier.issn | 2064-8243 | |
dc.identifier.opac | http://webpac.lib.unideb.hu:8082/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM065859 | |
dc.identifier.uri | http://hdl.handle.net/2437/230908 | |
dc.language | eng | |
dc.rights.access | open access journal | |
dc.rights.owner | Hungarian Central Statistical Office | |
dc.subject.mab | Természettudományok | |
dc.subject.mab | Földtudományok | |
dc.title | Mapping the position of cities in corporate research and development through a gravity model-based bidimensional regression analysis | |
dc.type | folyóiratcikk |
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