{"title":"Determinants of corporate R&D expenditures: the role of taxes","authors":"Dorota Wasiluk, Anna Białek-Jaworska","doi":"10.2478/ceej-2020-0007","DOIUrl":null,"url":null,"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.","PeriodicalId":9951,"journal":{"name":"Central European Journal of Economic Modelling and Econometrics","volume":"7 1","pages":"110 - 126"},"PeriodicalIF":0.5000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Economic Modelling and Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ceej-2020-0007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
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.
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.