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Cited by 808

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The Potato's Contribution to Population and Urbanization: Evidence From A Historical Experiment

Nunn, N., Qian, N.·2011·The Quarterly Journal of Economics
DOI 10.1093/qje/qjr009
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Abstract

We exploit regional variation in suitability for cultivating potatoes, together with time variation arising from their introduction to the Old World from the Americas, to estimate the impact of potatoes on Old World population and urbanization. Our results show that the introduction of the potato was responsible for a significant portion of the increase in population and urbanization observed during the eighteenth and nineteenth centuries. According to our most conservative estimates, the introduction of the potato accounts for approximately one-quarter of the growth in Old World population and urbanization between 1700 and 1900. Additional evidence from within-country comparisons of city populations and adult heights also confirms the cross-country findings.

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Crossref · 10.1093/qje/qjr009

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Citations

Cites

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Research works printed but not linked: 41

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Metadata

Authors
Nunn, N., & Qian, N.
Venue
The Quarterly Journal of Economics
Publisher
Oxford University Press (OUP)
Published
2011-05-01
Volume
126
Issue
2
Pages
593-650
ISSN
  • 0033-5533
  • 1531-4650
DOI
10.1093/qje/qjr009
Cited by
808
References
3
Language
en

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CoChat. (2026). Citation check: The Potato's Contribution to Population and Urbanization: Evidence From A Historical Experiment. https://app.cochat.ai/papers/10.1093/qje/qjr009
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Nunn, N., & Qian, N. (2011). The Potato's Contribution to Population and Urbanization: Evidence From A Historical Experiment. The Quarterly Journal of Economics. https://doi.org/10.1093/qje/qjr009

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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.