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Cited by 514

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Corporate Governance and Agency Conflicts

DEY, AIYESHA·2008·Journal of Accounting Research

Abstract

I investigate whether corporate governance is associated with the level of agency conflicts in firms. I employ exploratory principal components analysis on 22 individual governance variables to obtain seven factors that represent the different dimensions of governance for a firm. I measure the level of agency conflicts in firms based on seven proxies for agency conflicts used in the literature. I find that firms with greater agency conflicts have better governance mechanisms in place, particularly those related to the board, audit committee, and auditor. I also find that the composition and functioning of the board, the independence of the auditor, and the equity‐based compensation of directors are significantly associated with firm performance, but primarily for firms with high agency conflicts. Overall, the results support the theory that the existence and role of various governance mechanisms in a firm are a function of the level of agency conflicts in the firm.

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Crossref · 10.1111/j.1475-679x.2008.00301.x

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Metadata

Authors
DEY, A.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2008-10-21
Volume
46
Issue
5
Pages
1143-1181
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W2117710868
Cited by
514
References
5
FWCI
39.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Corporate Governance and Agency Conflicts. https://app.cochat.ai/papers/10.1111/j.1475-679x.2008.00301.x
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DEY, A. (2008). Corporate Governance and Agency Conflicts. Journal of Accounting Research. https://doi.org/10.1111/j.1475-679x.2008.00301.x

Data sources

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.