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Cited by 836

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Measuring and Explaining Management Practices Across Firms and Countries

Open access
Bloom, Nicholas, Van Reenen, John Michael·2006·SSRN Electronic Journal
DOI 10.2139/ssrn.922368
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Abstract

We use an innovative survey tool to collect management practice data from 732 medium sized manufacturing firms in the US, France, Germany and the UK. These measures of managerial practice are strongly associated with firm-level productivity, profitability, Tobin's Q, sales growth and survival rates. Management practices also display significant cross-country differences with US firms on average better managed than European firms, and significant within-country differences with a long tail of extremely badly managed firms. We find that poor management practices are more prevalent when (a) product market competition is weak and/or when (b) family-owned firms pass management control down to the eldest sons (primo geniture). European firms report lower levels of competition, while French and British firms also report substantially higher levels of primo geniture due to the influence of Norman legal origin and generous estate duty for family firms. We calculate that product market competition and family firms account for about half of the long tail of badly managed firms and up to two thirds of the American advantage over Europe in management practices.

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Metadata

Authors
Bloom, N., & Van Reenen, J. M.
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2006
ISSN
1556-5068 (ISSN-L)
DOI
10.2139/ssrn.922368
OpenAlex
W2100094340
Cited by
836
References
62
Type
posted content
Language
en
Open access
green

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CoChat. (2026). Citation check: Measuring and Explaining Management Practices Across Firms and Countries. https://app.cochat.ai/papers/10.2139/ssrn.922368
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Bloom, N., & Van Reenen, J. M. (2006). Measuring and Explaining Management Practices Across Firms and Countries. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.922368

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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