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Cited by 1,534

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

Corporate Governance, Accounting Outcomes, and Organizational Performance

Open access
Larcker, David F., Richardson, Scott A., Tuna, I˙rem·2007·The Accounting Review

Abstract

The empirical research examining the association between typical measures of corporate governance and various accounting and economic outcomes has not produced a consistent set of results. We believe that these mixed results are partially attributable to the difficulty in generating reliable and valid measures for the complex construct that is termed “corporate governance.” Using a sample of 2,106 firms and 39 structural measures of corporate governance (e.g., board characteristics, stock ownership, institutional ownership, activist stock ownership, existence of debtholders, mix of executive compensation, and anti-takeover variables), our exploratory principal component analysis suggests that there are 14 dimensions to corporate governance. We find that these indices have a mixed association with abnormal accruals, little relation to accounting restatements, but some ability to explain future operating performance and future excess stock returns.

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Metadata

Authors
Larcker, D. F., Richardson, S. A., & Tuna, I.
Venue
The Accounting Review
Published
2007-07-01
Volume
82
Issue
4
Pages
963-1008
ISSN
  • 0001-4826 (ISSN-L)
  • 1558-7967
OpenAlex
W2097764282
Cited by
1,534
References
62
FWCI
168.97
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Corporate Governance, Accounting Outcomes, and Organizational Performance. https://app.cochat.ai/papers/10.2308/accr.2007.82.4.963
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Larcker, D. F., Richardson, S. A., & Tuna, I. (2007). Corporate Governance, Accounting Outcomes, and Organizational Performance. The Accounting Review. https://doi.org/10.2308/accr.2007.82.4.963

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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.