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Limits of tax regulation: Evidence from strategic R&D classification and the R&D tax credit
被引:36
|作者:
Laplante, Stacie K.
[1
]
Skaife, Hollis A.
[2
]
Swenson, Laura A.
[3
]
Wangerin, Daniel D.
[1
]
机构:
[1] Univ Wisconsin, Wisconsin Sch Business, Madison, WI 53706 USA
[2] Univ Calif Davis, Grad Sch Management, Davis, CA 95616 USA
[3] Univ Wisconsin, Lubar Sch Business, Milwaukee, WI 53211 USA
关键词:
R&D tax credit;
R&D;
Tax planning;
Tax avoidance;
Tax strategy;
CASH FLOW;
US;
AVOIDANCE;
INCENTIVES;
MULTINATIONALS;
CONSEQUENCES;
EXECUTIVES;
D O I:
10.1016/j.jaccpubpol.2019.02.003
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
We investigate a tax avoidance strategy where firms use the ambiguity inherent in tax reporting to classify indirect costs as research and development (R&D) expenditures to take advantage of the R&D tax credit. We label this tax practice "strategic R&D classification". We find a one standard deviation increase in strategic R&D classification leads, on average, to a 1.7% (1.5%) reduction in GAAP (cash) effective tax rates, suggesting this practice provides significant tax savings. However, we also find strategic R&D classification is related to both the level and changes in uncertain tax benefit liabilities required to be recognized under FIN 48, suggesting this practice comes with financial reporting costs. Our study contributes to the literature by documenting some of the costs and benefits associated with a previously unexplored tax strategy, and highlights the limitations faced by tax authorities in monitoring firms' R&D tax credit. (C) 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页码:89 / 105
页数:17
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