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The economic benefits of publicly funded basic research: a critical review
Open accessAbstract
This article critically reviews the literature on the economic benefits of publicly funded basic research. In that literature, three main methodological approaches have been adopted — econometric studies, surveys and case studies. Econometric studies are subject to certain methodological limitations but they suggest that the economic benefits are very substantial. These studies have also highlighted the importance of spillovers and the existence of localisation effects in research. From the literature based on surveys and on case studies, it is clear that the benefits from public investment in basic research can take a variety of forms. We classify these into six main categories, reviewing the evidence on the nature and extent of each type. The relative importance of these different forms of benefit apparently varies with scientific field, technology and industrial sector. Consequently, no simple model of the economic benefits from basic research is possible. We reconsider the rationale for government funding of basic research, arguing that the traditional ‘market failure’ justification needs to be extended to take account of these different forms of benefit from basic research. The article concludes by identifying some of the policy implications that follow from this review.
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Cites
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de Wit-de Vries, E., Dolfsma, W. A., van der Windt, H. J., & Gerkema, M. P. (2019) · The Journal of Technology Transfer · doi:10.1007/s10961-018-9660-x · Cited by 426
From R&D to Innovation and Economic Growth in the EU
Bilbao‐Osorio, B., & Rodríguez‐Pose, A. (2004) · Growth and Change · doi:10.1111/j.1468-2257.2004.00256.x · Cited by 420
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Metadata
- Authors
- Salter, A. J., & Martin, B. R.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2001-03
- Volume
- 30
- Issue
- 3
- Pages
- 509-532
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W1965720378
- Cited by
- 1,358
- References
- 8
- FWCI
- 89.38
- Type
- journal article
- Language
- en
- Open access
- green
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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.