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Tax Department Design, Tax Planning, and Tax Risk

Authors: Harald Johannes Amberger; Henning Giese; Reinald Koch; Lukas Ortner;

Tax Department Design, Tax Planning, and Tax Risk

Abstract

Despite the central role of corporate tax departments in managing multinational enterprises' (MNEs) global tax positions, little is known about how their internal design shapes corporate tax behavior. Drawing on hand-collected data on more than 8,000 tax employees across 309 publicly listed European MNEs, we examine the association between tax department centralization and firm-level tax outcomes. We find no evidence for tax department centralization being associated with the overall level of tax planning. However, firms with more centralized tax departments engage in greater cross-border profit shifting, respond less to local tax incentives, and face higher tax risk. These findings suggest that tax department design shapes the <i>means</i> rather than the <i>intensity</i> of corporate tax planning. Our study extends the emerging literature on tax department design and provides insights for managers responsible for corporate tax strategies as well as for policymakers anticipating organizational responses to international tax reforms.

Keywords

M12, ddc:330, H25, H26, tax planning, management structure, tax risk

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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!
0
Average
Average
Average
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