Detecting space–time agglomeration processes over the Great Recession using firm-level micro-geographic data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1435-5949
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Detecting space–time agglomeration processes over the Great Recession using firm-level micro-geographic data ; volume:22 ; number:4 ; day:18 ; month:7 ; year:2020 ; pages:419-445 ; date:10.2020
Journal of geographical systems ; 22, Heft 4 (18.7.2020), 419-445, 10.2020
- Classification
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Wirtschaft
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s10109-020-00332-4
- URN
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urn:nbn:de:101:1-2020110119560841573601
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Cainelli, Giulio
- Ganau, Roberto
- Jiang, Yuting
- SpringerLink (Online service)
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