The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Workers, Machines, and Economic Growth
Abstract
This paper analyzes a model of economic growth, with technological innovations that reduce labor requirements but raise capital requirements. The paper has two main results. The first is that such technological innovations are not everywhere adopted, but only in countries with high productivity. The second result is that technology adoption significantly amplifies differences in productivity between countries. This paper can, therefore, add to our understanding of large and persistent international differences in output per capita. The model also helps to explain other growth phenomena, like divergence or periods of rapid growth.
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Cites
On the mechanics of economic development
Lucas, R. E. (1988) · Journal of Monetary Economics · doi:10.1016/0304-3932(88)90168-7 · Cited by 24,085
The Penn World Table (Mark 5): An Expanded Set of International Comparisons, 1950-1988
Summers, R., & Heston, A. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937941 · Cited by 3,429
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Acemoglu, D., & Restrepo, P. (2020) · Cambridge Journal of Regions, Economy and Society · doi:10.1093/cjres/rsz022 · Cited by 634
Blanchard, O. J., Nordhaus, W. D., & Phelps, E. S. (1997) · Brookings Papers on Economic Activity · doi:10.2307/2534687 · Cited by 588
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The Effects of Automation on Labor Demand
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AI, robots and innovation in European SMEs
Segarra-Blasco, A., Tomàs-Porres, J., & Teruel, M. (2025) · Small Business Economics · doi:10.1007/s11187-025-01017-2 · Cited by 49
Metadata
- Authors
- Zeira, J.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-11-01
- Volume
- 113
- Issue
- 4
- Pages
- 1091-1117
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2006558343
- Cited by
- 557
- References
- 2
- FWCI
- 3.81
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
