The DOI matches its Crossref record.
The exaggerated death of geography: learning, proximity and territorial innovation systems
Abstract
Globalization and digitalization have been presented as ineluctable forces which signal the ‘death of geography’. The paper takes issue with this fashionable narrative. The argument that ‘geography matters’ is pursued in three ways: first, by questioning the ‘distance-destroying’ capacity of information and communication technologies where social depth is conflated with spatial reach; second, by arguing that physical proximity may be essential for some forms of knowledge exchange; and third, by charting the growth of territorial innovation systems.
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Citations
Cited by
Tödtling, F., & Trippl, M. (2005) · Research Policy · doi:10.1016/j.respol.2005.01.018 · Cited by 2,571
Intelligent cities: Variable geometries of spatial intelligence
Komninos, N. (2011) · Intelligent Buildings International · doi:10.1080/17508975.2011.579339 · Cited by 299
On territorology: towards a general science of territory
Brighenti, A. M. (2010) · Theory, Culture & Society · doi:10.1177/0263276409350357 · Cited by 239
Innovation Policy for Grand Challenges. An Economic Geography Perspective
Coenen, L., Hansen, T., & Rekers, J. V. (2015) · Geography Compass · doi:10.1111/gec3.12231 · Cited by 174
Metadata
- Authors
- Morgan, K.
- Venue
- Journal of Economic Geography
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-01-01
- Volume
- 4
- Issue
- 1
- Pages
- 3-21
- ISSN
- 1468-2702 (ISSN-L)
- 1468-2710
- OpenAlex
- W2144789418
- Cited by
- 807
- References
- 0
- FWCI
- 38.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The exaggerated death of geography: learning, proximity and territorial innovation systems. https://app.cochat.ai/papers/10.1093/jeg/4.1.3
- The paper
- Morgan, K. (2004). The exaggerated death of geography: learning, proximity and territorial innovation systems. Journal of Economic Geography. https://doi.org/10.1093/jeg/4.1.3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
