The relative effectiveness of R&D tax credits and R&D subsidies: A comparative meta-regression analysis

Dimos, C (通讯作者),Univ Bath, Ctr Governance Regulat & Ind Strategy, Sch Management, Bath BA2 7AY, Avon, England.
2022-7
There are large primary literatures that evaluate the effectiveness of either R&D tax credits or R&D subsidies in promoting private R&D. However, this Meta-Regression Analysis, by investigating these literatures jointly, is the first study that systematically measures and compares the effectiveness of these two policy instruments. After controlling for publication selection and sources of heterogeneity, we find that both tax credits and subsidies induce additional private R&D and that neither instrument systematically outperforms the other. However, whereas subsidy effects are increasing over time tax credit effects are not. Although their respective effects are small, they are not negligible: in round terms, an additional $1 of public R&D support of either type induces 7.5 cents of additional private R&D expenditure. Sources of heterogeneity in the reported effects include: tax credits are most effectively delivered as incremental schemes, are more effective in economies with a balanced policy-mix regime, and are generally less effective for micro firms and SMEs than for large firms; while sub-sidies are more effective for manufacturing firms, although not for high-tech firms, and are more effective than tax credits in economies predominantly using subsidies. Finally, we argue for the importance of statistical power in the design of evaluation studies.
TECHNOVATION
卷号:115
ISSN:0166-4972|收录类别:SCIE
语种
英语
来源机构
University of Bath; Staffordshire University; Coventry University; University of Wolverhampton
被引频次(WOS)
4
被引频次(其他)
4
180天使用计数
21
2013以来使用计数
35
EISSN
1879-2383
出版年
2022-7
DOI
10.1016/j.technovation.2021.102450
学科领域
循证管理学
关键词
R& D tax credits R & D subsidies Meta -regression analysis Publication bias Policy evaluation Additionality
WOS学科分类
Engineering, Industrial Management Operations Research & Management Science