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Cited by 586

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

The economic impact of universities: Evidence from across the globe

Open access
Valero, Anna, Van Reenen, John·2019·Economics of Education Review

Abstract

We develop a new dataset using UNESCO source materials on the location of nearly 15,000 universities in about 1,500 regions across 78 countries, some dating back to the 11th Century. We estimate fixed effects models at the sub-national level between 1950 and 2010 and find that increases in the number of universities are positively associated with future growth of GDP per capita (and this relationship is robust to controlling for a host of observables, as well as unobserved regional trends). Our estimates imply that a 10% increase in a region's number of universities per capita is associated with 0.4% higher future GDP per capita in that region. Furthermore, there appear to be positive spillover effects from universities to geographically close neighbouring regions. We show that the relationship between GDP per capita and universities is not simply driven by the direct expenditures of the university, its staff and students. Part of the effect of universities on growth is mediated through an increased supply of human capital and greater innovation. Furthermore, we find that within countries, higher historical university presence is associated with stronger pro-democratic attitudes.

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Metadata

Authors
Valero, A., & Van Reenen, J.
Venue
Economics of Education Review
Publisher
Elsevier BV
Published
2019-02
Volume
68
Pages
53-67
ISSN
0272-7757 (ISSN-L)
OpenAlex
W2512545025
Cited by
586
References
53
FWCI
43.85
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The economic impact of universities: Evidence from across the globe. https://app.cochat.ai/papers/10.1016/j.econedurev.2018.09.001
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Valero, A., & Van Reenen, J. (2019). The economic impact of universities: Evidence from across the globe. Economics of Education Review. https://doi.org/10.1016/j.econedurev.2018.09.001

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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.