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Sectors and the additionality effects of R&D tax credits: A cross-country microeconometric analysis

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  • Bodas Freitas, Isabel
  • Castellacci, Fulvio
  • Fontana, Roberto
  • Malerba, Franco
  • Vezzulli, Andrea

Abstract

Do the additionality effects of R&D tax credits vary across sectors? The paper presents a micro- econometric analysis of this question for three countries: Norway, Italy and France. We use a panel of firm-level data from three waves of the Innovation Surveys carried out in these countries for 2004, 2006 and 2008. The study estimates input and output additionality effects of R&D tax credits in each of these economies, and it investigates how these effects differ across sectors characterized by different R&D orientation and competition conditions. The results point out that firms in industries with high R&D orientation have on average higher propensity to apply to R&D fiscal incentives schemes and stronger input and output additionality effects. Output additionality is found to differ among the three examined countries.

Suggested Citation

  • Bodas Freitas, Isabel & Castellacci, Fulvio & Fontana, Roberto & Malerba, Franco & Vezzulli, Andrea, 2017. "Sectors and the additionality effects of R&D tax credits: A cross-country microeconometric analysis," Research Policy, Elsevier, vol. 46(1), pages 57-72.
  • Handle: RePEc:eee:respol:v:46:y:2017:i:1:p:57-72
    DOI: 10.1016/j.respol.2016.10.002
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    as
    1. Daniel J. Wilson, 2009. "Beggar Thy Neighbor? The In-State, Out-of-State, and Aggregate Effects of R&D Tax Credits," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 431-436, May.
    2. William S. Comanor, 1967. "Market Structure, Product Differentiation, and Industrial Research," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 81(4), pages 639-657.
    3. Czarnitzki, Dirk & Hanel, Petr & Rosa, Julio Miguel, 2011. "Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms," Research Policy, Elsevier, vol. 40(2), pages 217-229, March.
    4. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    5. Castellacci, Fulvio & Lie, Christine Mee, 2015. "Do the effects of R&D tax credits vary across industries? A meta-regression analysis," Research Policy, Elsevier, vol. 44(4), pages 819-832.
    6. Spyros Arvanitis, 2013. "Micro-econometric approaches to the evaluation of technology-oriented public programmes: a non-technical review of the state of the art," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 3, pages 56-88, Edward Elgar Publishing.
    7. 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.
    8. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    9. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    10. Philippe Aghion & Philippe Askenazy & Nicolas Berman & Gilbert Cette & Laurent Eymard, 2012. "Credit Constraints And The Cyclicality Of R&D Investment: Evidence From France," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1001-1024, October.
    11. 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.
    12. Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2013. "Estimating the Benefits of Targeted R&D Subsidies," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 255-272, March.
    13. Czarnitzki, Dirk & Hussinger, Katrin, 2004. "The Link Between R&D Subsidies, R&D Spending and Technological Performance," ZEW Discussion Papers 04-56, ZEW - Leibniz Centre for European Economic Research.
    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. D’Este, Pablo & Iammarino, Simona & Savona, Maria & von Tunzelmann, Nick, 2012. "What hampers innovation? Revealed barriers versus deterring barriers," Research Policy, Elsevier, vol. 41(2), pages 482-488.
    16. 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.
    17. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    18. Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
    19. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    20. Albert N. Link & Nicholas S. Vonortas (ed.), 2013. "Handbook on the Theory and Practice of Program Evaluation," Books, Edward Elgar Publishing, number 14384.
    21. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    22. Cohen, Wesley M., 2010. "Fifty Years of Empirical Studies of Innovative Activity and Performance," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 129-213, Elsevier.
    23. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-1171, September.
    24. Aghion, P. & Askenazy, P. & Berman, N. & Cette, G. & Eymard, L., 2008. "Credit Constraints and the Cyclicality of R&D Investment: Evidence from France," Working papers 198, Banque de France.
    25. Cappelen, Ådne & Raknerud, Arvid & Rybalka, Marina, 2012. "The effects of R&D tax credits on patenting and innovations," Research Policy, Elsevier, vol. 41(2), pages 334-345.
    26. Levin, Richard C, 1978. "Technical Change, Barriers to Entry, and Market Structure," Economica, London School of Economics and Political Science, vol. 45(180), pages 347-361, November.
    27. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
    28. Malerba, Franco & Orsenigo, Luigi, 1996. "Schumpeterian patterns of innovation are technology-specific," Research Policy, Elsevier, vol. 25(3), pages 451-478, May.
    29. Austin Nichols, 2008. "Erratum and discussion of propensity-score reweighting," Stata Journal, StataCorp LP, vol. 8(4), pages 532-539, December.
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    14. Chang, Kai & Long, Yu & Yang, Jiahui & Zhang, Huijia & Xue, Chenqi & Liu, Jianing, 2022. "Effects of subsidy and tax rebate policies on green firm research and development efficiency in China," Energy, Elsevier, vol. 258(C).
    15. Wasiluk Dorota & Białek-Jaworska Anna, 2020. "Determinants of corporate R&D expenditures: the role of taxes," Central European Economic Journal, Sciendo, vol. 7(54), pages 110-126, January.
    16. Labeaga, José M. & Martínez-Ros, Ester & Sanchis, Amparo & Sanchis, Juan A., 2021. "Does persistence in using R&D tax credits help to achieve product innovations?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    17. Nilsen, Øivind A. & Raknerud, Arvid & Iancu, Diana-Cristina, 2020. "Public R&D support and firm performance: A multivariate dose-response analysis," Research Policy, Elsevier, vol. 49(7).
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    19. Chen, Feng & Wu, Bin & Lou, Wenqian, 2021. "An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network," Energy Policy, Elsevier, vol. 152(C).
    20. Guo, Di & Guo, Yan & Jiang, Kun, 2022. "Government R&D support and firms’ access to external financing: funding effects, certification effects, or both?," Technovation, Elsevier, vol. 115(C).
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    22. Dai, Xiaoyong & Chapman, Gary, 2022. "R&D tax incentives and innovation: Examining the role of programme design in China," Technovation, Elsevier, vol. 113(C).
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    25. Chunhuan Xiao & Ziyin Zhuang, 2022. "Do R&D Tax Credits Incentivize Radical or Incremental Innovation? Evidence from China," Sustainability, MDPI, vol. 14(14), pages 1-17, July.

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    More about this item

    Keywords

    R&D policy; R&D tax credits; Input additionality; Output additionality; Pavitt taxonomy; Market concentration;
    All these keywords.

    JEL classification:

    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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