Human capital and industrialization: Evidence from the age of enlightenment
Open accessAbstract
While human capital is a strong predictor of economic development today, its importance for the Industrial Revolution has typically been assessed as minor. To resolve this puzzling contrast, we differentiate average human capital (literacy) from upper-tail knowledge. As a proxy for the historical presence of knowledge elites, we use city-level subscriptions to the famous Encyclopédie in mid-18th century France. We show that subscriber density is a strong predictor of city growth after the onset of French industrialization. Alternative measures of development such as soldier height, disposable income, and industrial activity confirm this pattern. Initial literacy levels, on the other hand, are associated with development in the cross-section, but they do not predict growth. Finally, by joining data on British patents with a large French firm survey from the 1840s, we shed light on the mechanism: upper-tail knowledge raised productivity in innovative industrial technology.
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Cited by
Sorted by citations
Digitalization and the Anthropocene
Creutzig, F., Acemoglu, D., Bai, X., Edwards, P. N., Hintz, M. J., Kaack, L. H., Kilkis, S., Kunkel, S., Luers, A., Milojevic-Dupont, N., et al. (2022) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-120920-100056 · Cited by 112 · see citing works
The Mechanics of the Industrial Revolution
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Nkemgha, G. Z., Nchofoung, T. N., & Sundjo, F. (2023) · Cities · doi:10.1016/j.cities.2022.104108 · Cited by 58 · see citing works
The diffusion of new technologies
Kalyani, A., Bloom, N., Carvalho, M., Hassan, T., Lerner, J., & Tahoun, A. (2025) · The Quarterly Journal of Economics · doi:10.1093/qje/qjaf002 · Cited by 60 · see citing works
- Authors
- Squicciarini, M. P., & Voigtländer, N.
- Affiliations
- Center for Economic and Policy Research (US)
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-07-06
- Volume
- 130
- Issue
- 4
- Pages
- 1825-1883
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2105508094
- Cited by
- 384
- References
- 182
- Citations by year
- 2026: 22 · 2025: 39 · 2024: 37 · 2023: 55 · 2022: 29 · 2021: 48 · 2020: 26 · 2019: 42 · 2018: 20 · 2017: 27 · 2016: 16 · 2015: 8 · 2014: 4 · 2013: 1 · 2012: 1
- FWCI
- 57.15
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- other-oa
- Locations
- The Quarterly Journal of Economics (publishedVersion)
- Lirias (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Archivio istituzionale della Ricerca - Bocconi (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Historical Economic and Social Studies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Social Sciences › Demography › Culture, Economy, and Development Studies
- Keywords
- human capital, Industrial Revolution, knowledge elites, literacy, urban expansion, French industrialization, economic development, innovation, industrial technology, productivity, patents
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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