Do Big Inequalities in Executive Pay Hurt Firm Performance?

ABSTRACT Research Question/Issue Do large, within‐firm executive pay differences hurt firm performance? Prior literature shows mixed results concerning the sign of the relationship between executive pay disparity and firm performance. This study evaluates that literature, clarifies what tournament theory predicts about the relationship, identifies methodological pitfalls and how to address them, and guides future scholarship in this area of considerable importance to firms and policy makers. Research Findings/Insights We estimate the relationship using improved methodology and find evidence of an inverted‐ U ‐shaped relationship between the executive pay spread and firm performance. However, the peak of this inverted U occurs at such a high level of the executive pay spread that it is practically irrelevant in most firms. The inverted U is found using a market‐based measure of firm performance, but not a returns‐based measure (i.e., ROA). Theoretical/Academic Implications This study addresses the theoretical and empirical limitations of the prior literature, thereby providing more credible estimates of the relationship between pay disparity and firm performance. Tournament theory offers a unified framework that can explain an inverted‐ U ‐shaped relationship between the executive pay spread and firm performance. Practitioner/Policy Implications Our results should reduce public concerns that CEOs increase their own compensation to exorbitant levels, to the detriment of firm performance.

Authors

Institutions

Publication Details

Journal
Corporate Governance An International Review
Published
2025-02-27
DOI
https://doi.org/10.1111/corg.12647
Primary Topic
Corporate Finance and Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do Big Inequalities in Executive Pay Hurt Firm Performance?

Richard Chung, Scott Fung, Jed DeVaro
Corporate Governance An International Review
Corporate Finance and Governance
article

Do Big Inequalities in Executive Pay Hurt Firm Performance?

Richard Chung, Scott Fung, Jed DeVaro
article en

Abstract

ABSTRACT Research Question/Issue Do large, within‐firm executive pay differences hurt firm performance? Prior literature shows mixed results concerning the sign of the relationship between executive pay disparity and firm performance. This study evaluates that literature, clarifies what tournament theory predicts about the relationship, identifies methodological pitfalls and how to address them, and guides future scholarship in this area of considerable importance to firms and policy makers. Research Findings/Insights We estimate the relationship using improved methodology and find evidence of an inverted‐ U ‐shaped relationship between the executive pay spread and firm performance. However, the peak of this inverted U occurs at such a high level of the executive pay spread that it is practically irrelevant in most firms. The inverted U is found using a market‐based measure of firm performance, but not a returns‐based measure (i.e., ROA). Theoretical/Academic Implications This study addresses the theoretical and empirical limitations of the prior literature, thereby providing more credible estimates of the relationship between pay disparity and firm performance. Tournament theory offers a unified framework that can explain an inverted‐ U ‐shaped relationship between the executive pay spread and firm performance. Practitioner/Policy Implications Our results should reduce public concerns that CEOs increase their own compensation to exorbitant levels, to the detriment of firm performance.

Corporate Governance An International ReviewVol. 33(5)
California State University, East Bay (US)
Openalex Percentile: Top 94%
Corporate Finance and Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.