IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Do the effects of R&D tax credits vary across industries? A meta-regression analysis

  • Castellacci, Fulvio
  • Lie, Christine

This paper presents a survey of the micro-econometric literature on the effects of R&D tax credits on firms’ innovation activities. We focus on one specific aspect that has not received sufficient attention in previous research: the sectoral dimension. Our meta-regression analysis (MRA) sets up a new database collecting a large number of firm-level studies on the effects of R&D tax credits and investigates the factors that may explain differences in the estimated effects that are reported in the literature. The main result of the MRA analysis is indeed that sectors matter. Micro-econometric studies that have focused on a sub-sample of high-tech industries have on average obtained a smaller estimated effect of R&D tax credits. The paper proposes a simple framework to investigate why the effects of R&D tax credits vary across sectors and points out new directions and hypotheses for future research.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://mpra.ub.uni-muenchen.de/47937/1/MPRA_paper_47937.pdf
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 47937.

as
in new window

Length:
Date of creation: Jul 2013
Date of revision:
Handle: RePEc:pra:mprapa:47937
Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Hall, Bronwyn & Van Reenen, John, 2000. "How effective are fiscal incentives for R&D? A review of the evidence," Research Policy, Elsevier, vol. 29(4-5), pages 449-469, April.
  2. Bodas Freitas, Isabel Maria & von Tunzelmann, Nick, 2008. "Mapping public support for innovation: A comparison of policy alignment in the UK and France," Research Policy, Elsevier, vol. 37(9), pages 1446-1464, October.
  3. Czarnitzki, Dirk & Lopes-Bento, Cindy, 2013. "Value for money? New microeconometric evidence on public R&D grants in Flanders," Research Policy, Elsevier, vol. 42(1), pages 76-89.
  4. Nicholas Bloom & Rachel Griffith & John Van Reenen, 2007. "Do R&D Tax Credits Work? Evidence from a Panel of Countries 1979-1997," Discussion Papers 07-020, Stanford Institute for Economic Policy Research.
  5. Yang, Chih-Hai & Huang, Chia-Hui & Hou, Tony Chieh-Tse, 2012. "Tax incentives and R&D activity: Firm-level evidence from Taiwan," Research Policy, Elsevier, vol. 41(9), pages 1578-1588.
  6. T.D. Stanley, 2006. "Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Economics Series 2006_20, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  7. Howitt, Peter & Griffith, Rachel & Aghion, Philippe & Blundell, Richard & Bloom, Nick, 2005. "Competition and Innovation: An Inverted-U Relationship," Scholarly Articles 4481507, Harvard University Department of Economics.
  8. Rufin Baghana & Pierre Mohnen, 2009. "Effectiveness of R&D Tax Incentives in Small and Large Enterprises in Québec," CIRANO Working Papers 2009s-01, CIRANO.
  9. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
  10. Robert Wieser, 2005. "Research And Development Productivity And Spillovers: Empirical Evidence At The Firm Level," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 587-621, 09.
  11. Maria Parisi & Alessandro Sembenelli, 2003. "Is Private R & D Spending Sensitive to Its Price? Empirical Evidence on Panel Data for Italy," Empirica, Springer, vol. 30(4), pages 357-377, December.
  12. Dosi, Giovanni, 1982. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 11(3), pages 147-162, June.
  13. Paff Lolita A, 2005. "State-Level R&D Tax Credits: A Firm-Level Analysis," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-27, September.
  14. Geroski, P A, 1990. "Innovation, Technological Opportunity, and Market Structure," Oxford Economic Papers, Oxford University Press, vol. 42(3), pages 586-602, July.
  15. Emmanuel Duguet, 2012. "The effect of the incremental R&D tax credit on the private funding of R&D an econometric evaluation on french firm level data," Revue d'économie politique, Dalloz, vol. 122(3), pages 405-435.
  16. Tang, Jianmin, 2006. "Competition and innovation behaviour," Research Policy, Elsevier, vol. 35(1), pages 68-82, February.
  17. Fulvio Castellacci & Jinghai Zheng, 2010. "Technological regimes, Schumpeterian patterns of innovation and firm-level productivity growth," Industrial and Corporate Change, Oxford University Press, vol. 19(6), pages 1829-1865, December.
  18. Swenson, C. W., 1992. "Some tests of the incentive effects of the research and experimentation tax credit," Journal of Public Economics, Elsevier, vol. 49(2), pages 203-218, November.
  19. Hiroyuki Kasahara & Katsumi Shimotsu & Michio Suzuki, 2012. "Does an R&D Tax Credit Affect R&D Expenditure? The Japanese Tax Credit Reform in 2003," Global COE Hi-Stat Discussion Paper Series gd11-220, Institute of Economic Research, Hitotsubashi University.
  20. Castellacci, Fulvio, 2008. "Technological paradigms, regimes and trajectories: Manufacturing and service industries in a new taxonomy of sectoral patterns of innovation," Research Policy, Elsevier, vol. 37(6-7), pages 978-994, July.
  21. Hristos Doucouliagos & T.D. Stanley, 2008. "Publication Selection Bias in Minimum-Wage Research? A Meta-Regression Analysis," Economics Series 2008_14, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  22. Valerie Mercer-Blackman, 2008. "The Impact of Research and Development Tax Incentiveson Colombia's Manufacturing Sector: What Difference Do they Make?," IMF Working Papers 08/178, International Monetary Fund.
  23. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:47937. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.