Determinants of corporate R&D expenditures: the role of taxes

IF 0.5 Q4 ECONOMICS
Dorota Wasiluk, Anna Białek-Jaworska
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引用次数: 0

Abstract

Abstract The paper aims to find the relationship between corporate expenditures on R&D and tax burdens comparing German with French R&D incentives. We use the OLS method for the financial and patent cross-sectional data retrieved from the Amadeus database. The results confirm that firms with higher tax spread (the difference between the nominal and effective tax rates) spend less on R&D. These are in line with findings of a positive relationship between corporate R&D investment and tax burdens. Thus, firms that invest in R&D more pay higher taxes. However, they are less profitable as the return on R&D investment is visible only in the long run. German corporate expenditures on R&D are significantly sensitive to internal funds (proxied by cash flow) and depend on debt, contrary to French. The results indicate that the French firm's age (a phase of life cycle) has a significant impact on spending on R&D compared to German. Whereas in both countries, corporate expenditures on R&D are sensitive to the number of obtained patents. The capability of reducing the level of tax burdens below the nominal tax rate in the case of older German firms stimulates them to increase their R&D expenditures. However, German firms can decrease tax due to the use of R&D grants (revenues without taxation) in the absence of other tax incentives related to R&D.
企业研发支出的决定因素:税收的作用
摘要本文旨在通过对德国和法国研发激励机制的比较,找出企业研发支出与税负之间的关系。我们使用OLS方法对从Amadeus数据库中检索的财务和专利横截面数据进行分析。研究结果证实,税差(名义税率与实际税率之差)较高的企业在研发上的支出较少。这与企业研发投入与税负呈正相关关系的研究结果一致。因此,在研发上投入更多的公司要缴纳更高的税。然而,它们的利润较低,因为研发投资的回报只有在长期才能看到。与法国相反,德国企业的研发支出对内部资金(以现金流为代表)非常敏感,并且依赖于债务。结果表明,与德国相比,法国公司的年龄(生命周期的一个阶段)对研发支出有显著影响。而在这两个国家,企业的研发支出对获得的专利数量很敏感。对于老牌德国企业来说,将税负水平降低到名义税率以下的能力刺激了它们增加研发支出。然而,在没有其他与研发相关的税收优惠的情况下,德国企业可以通过使用研发补助金(免税收入)来减少税收。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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