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Auditor Industry Specialization and Market Segmentation: Evidence from Hong Kong

Authors: DeFond, ML; Francis, JR; Wong, TJ;

Auditor Industry Specialization and Market Segmentation: Evidence from Hong Kong

Abstract

Audit fees of Big 6 and non-Big 6 accounting firms are examined for 348 publicly listed Hong Kong companies. Using more recent data than prior studies, we find evidence of Big 6 premiums for both general brand name and for industry specialization. In addition, we find that the large local firm Kwan Wong Tan & Fong, which is the market leader in the property sector, has significantly lower fees than both Big 6 and other non-Big 6 auditors in that industry. Specialization thus leads to different results for Big 6 and non-Big 6 firms and suggests a market segment not previously identified: non-Big 6 specialization, which leads to production economies and the capture of market share through lower fees for a clientele seeking low-priced audits. These results also suggest that prior studies do not recognize sufficiently that Big 6 brand-name reputation is a necessary foundation on which to achieve higher priced quality-differentiated audits based on industry specialization.

Country
China (People's Republic of)
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
330
Top 1%
Top 1%
Top 10%
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