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Cited by 912

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

International Technology Diffusion: Theory and Measurement

Eaton, Jonathan, Kortum, Samuel·1999·International Economic Review

Abstract

We model the invention of new technologies and their diffusion across countries. In our model all countries grow at the same steady‐state rate, with each country's productivity ranking determined by how rapidly it adopts ideas. Research effort is determined by how much ideas earn at home and abroad. Patents affect the return to ideas. We relate the decision to patent an invention internationally to the cost of patenting in a country and to the expected value of patent protection in that country. We can thus infer the direction and magnitude of the international diffusion of technology from data on international patenting, productivity, and research. We fit the model to data from the five leading research economies. A rough summary of our findings is that the world lies about two‐thirds of the way from an extreme of technological autarky to an extreme of free trade in ideas. Research performed abroad is about two‐thirds as potent as domestic research. Together the United States and Japan drive at least two‐thirds of the growth in each of the countries in our sample.

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Metadata

Authors
Eaton, J., & Kortum, S.
Venue
International Economic Review
Publisher
Wiley
Published
1999-08
Volume
40
Issue
3
Pages
537-570
ISSN
  • 0020-6598 (ISSN-L)
  • 1468-2354
OpenAlex
W2103271134
Cited by
912
References
1
FWCI
47.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: International Technology Diffusion: Theory and Measurement. https://app.cochat.ai/papers/10.1111/1468-2354.00028
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Eaton, J., & Kortum, S. (1999). International Technology Diffusion: Theory and Measurement. International Economic Review. https://doi.org/10.1111/1468-2354.00028

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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.