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Knowledge Spillovers and Local Innovation Systems: A Critical Survey
Open accessAbstract
This paper re‐examines critically the growing literature on localized knowledge spillovers (LKSs), and finds the econometric evidence on the subject still lacking a firm theoretical background, especially in relation to the more recent developments in the economics of knowledge. LKSs as externalities are too narrow a concept to embrace the wide variety of knowledge transmission mechanisms that may, or may not, spread ideas and expertise while keeping the diffusion process bounded in space.
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Citations
Cited by
On the role played by temporary geographical proximity in knowledge transmission
Torre, A. (2008) · Regional Studies · doi:10.1080/00343400801922814 · Cited by 682
Bettencourt, L. M. A., Lobo, J., Strumsky, D., & West, G. B. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013541 · Cited by 651
The geographical and institutional proximity of research collaboration
Ponds, R., Van Oort, F., & Frenken, K. (2007) · Papers in Regional Science · doi:10.1111/j.1435-5957.2007.00126.x · Cited by 645
Morrison, A., Pietrobelli, C., & Rabellotti, R. (2008) · Oxford Development Studies · doi:10.1080/13600810701848144 · Cited by 555
Balland, P.-A. (2012) · Regional Studies · doi:10.1080/00343404.2010.529121 · Cited by 466
Metadata
- Authors
- Breschi, S.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-12-01
- Volume
- 10
- Issue
- 4
- Pages
- 975-1005
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W1494159611
- Cited by
- 1,536
- References
- 0
- FWCI
- 53.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Breschi, S. (2001). Knowledge Spillovers and Local Innovation Systems: A Critical Survey. Industrial and Corporate Change. https://doi.org/10.1093/icc/10.4.975
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.
