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Cited by 736

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The Organization of Firms Across Countries*

Open access
Bloom, Nicholas, Sadun, Raffaella, Van Reenen, John·2012·The Quarterly Journal of Economics

Abstract

We argue that social capital as proxied by trust increases aggregate productivity by affecting the organization of firms. To do this we collect new data on the decentralization of investment, hiring, production, and sales decisions from corporate headquarters to local plant managers in almost 4,000 firms in the United States, Europe, and Asia. We find that firms headquartered in high-trust regions are significantly more likely to decentralize. To help identify causal effects, we look within multinational firms and show that higher levels of bilateral trust between the multinational’s country of origin and subsidiary’s country of location increases decentralization, even after instrumenting trust using religious similarities between the countries. Finally, we show evidence suggesting that trust raises aggregate productivity by facilitating reallocation between firms and allowing more efficient firms to grow, as CEOs can decentralize more decisions.

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Metadata

Authors
Bloom, N., Sadun, R., & Van Reenen, J.
Venue
The Quarterly Journal of Economics
Published
2012-11-01
Volume
127
Issue
4
Pages
1663-1705
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W2170834958
Cited by
736
References
4
FWCI
122.44
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Organization of Firms Across Countries*. https://app.cochat.ai/papers/10.1093/qje/qje029
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Bloom, N., Sadun, R., & Van Reenen, J. (2012). The Organization of Firms Across Countries*. The Quarterly Journal of Economics. https://doi.org/10.1093/qje/qje029

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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.