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The Cost of Diversity: The Diversification Discount and Inefficient Investment
Open accessAbstract
We model the distortions that internal power struggles can generate in the allocation of resources between divisions of a diversified firm. The model predicts that if divisions are similar in the level of their resources and opportunities, funds will be transferred from divisions with poor opportunities to divisions with good opportunities. When diversity in resources and opportunities increases, however, resources can flow toward the most inefficient division, leading to more inefficient investment and less valuable firms. We test these predictions on a panel of diversified U.S. firms during the period from 1980 to 1993 and find evidence consistent with them.
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Cites
Coase, R. H. (1937) · Economica · doi:10.1111/j.1468-0335.1937.tb00002.x · Cited by 23,972
Adams, J. S. (1965) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60108-2 · Cited by 10,818
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Controlling for endogeneity with instrumental variables in strategic management research
Bascle, G. (2008) · Strategic Organization · doi:10.1177/1476127008094339 · Cited by 1,133
Global Diversification, Industrial Diversification, and Firm Value
Denis, D. J., Denis, D. K., & Yost, K. (2002) · The Journal of Finance · doi:10.1111/0022-1082.00485 · Cited by 1,049
Banking Globalization and Monetary Transmission
CETORELLI, N., & GOLDBERG, L. S. (2012) · The Journal of Finance · doi:10.1111/j.1540-6261.2012.01773.x · Cited by 774
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Metadata
- Authors
- Rajan, R., Servaes, H., & Zingales, L.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 2000-02
- Volume
- 55
- Issue
- 1
- Pages
- 35-80
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W3122151187
- Cited by
- 1,683
- References
- 2
- FWCI
- 248.18
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.