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Cited by 585

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Innovation and Foreign Ownership

Open access
Guadalupe, Maria, Kuzmina, Olga, Thomas, Catherine·2012·American Economic Review

Abstract

This paper uses a rich panel dataset of Spanish manufacturing firms (1990–2006) and a propensity score reweighting estimator to show that multinational firms acquire the most productive domestic firms, which, on acquisition, conduct more product and process innovation (simultaneously adopting new machines and organizational practices) and adopt foreign technologies, leading to higher productivity. We propose a model of endogenous selection and innovation in heterogeneous firms that explains both the observed selection patterns and the innovation decisions. Further, we show in the data that innovation upon acquisition is associated with the increased market scale provided by the parent firm.

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Research works printed but not linked: 4

  1. 10.2307/2669919 · doi:10.2307/2669919 · Paper page
  2. Dixit Avinash K, 1977, American Economic Review, 67, 297
  3. Guadalupe Maria, 2012, American Economic Review. http://dx.doi.org/10.1257/aer., 102, 3594, 10.1257/aer.102.7.3594 · DOI · Paper page
  4. 10.1016/j.jinteco.2009.05.004 · DOI · Paper page

Cited by

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Metadata

Authors
Guadalupe, M., Kuzmina, O., & Thomas, C.
Venue
American Economic Review
Published
2012-12-01
Volume
102
Issue
7
Pages
3594-3627
ISSN
0002-8282 (ISSN-L)
OpenAlex
W3122247001
Cited by
585
References
64
FWCI
72.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Innovation and Foreign Ownership. https://app.cochat.ai/papers/10.1257/aer.102.7.3594
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Guadalupe, M., Kuzmina, O., & Thomas, C. (2012). Innovation and Foreign Ownership. American Economic Review. https://doi.org/10.1257/aer.102.7.3594

Data sources

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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.