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The private return of R&D tax credit

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Abstract

This article examines the private return on R&D tax credit, defined as the ratio of total tax reliefs obtained by a firm through R&D tax credit to real R&D spending. Based on a dataset merging different sources for French companies, we first show that the distribution of this private return is dispersed. We then use clustering analyses to identify six mutually exclusive types of firms' R&D strategies. We finally show in a regression setting that these strategies explain part of the variance in the private return on R&D tax credit. This study contributes to a better understanding of the heterogeneity of firms' R&D strategies. It also seeks to open new directions in debates surrounding the proper design and reforms of R&D tax credit schemes

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  • Pierre Courtioux & François Métivier & Antoine Rebérioux, 2021. "The private return of R&D tax credit," Documents de travail du Centre d'Economie de la Sorbonne 21006, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    • Handle: RePEc:mse:cesdoc:21006
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    1. Mulkay, Benoît, 2019. "How does competition affect innovation behaviour in french firms?," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 237-251.
    2. Montmartin, Benjamin & Herrera, Marcos & Massard, Nadine, 2018. "The impact of the French policy mix on business R&D: How geography matters," Research Policy, Elsevier, vol. 47(10), pages 2010-2027.
    3. Irem Guceri & Li Liu, 2019. "Effectiveness of Fiscal Incentives for R&D: Quasi-experimental Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 266-291, February.
    4. García-Vega, María & Huergo, Elena, 2019. "The role of international and domestic R&D outsourcing for firm innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 775-792.
    5. 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.
    6. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    7. Haltiwanger, John C. & Lane, Julia I. & Spletzer, James R., 2007. "Wages, productivity, and the dynamic interaction of businesses and workers," Labour Economics, Elsevier, vol. 14(3), pages 575-602, June.
    8. Ramani, Shyama V., 2002. "Who is interested in biotech? R&D strategies, knowledge base and market sales of Indian biopharmaceutical firms," Research Policy, Elsevier, vol. 31(3), pages 381-398, March.
    9. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    10. Emmanuel Duguet, 2004. "Are RαD subsidies a substitute or a complement to privately funded RαD ?. An econometric analysis at the firm level," Revue d'économie politique, Dalloz, vol. 114(2), pages 245-274.
    11. Michele Boldrin & David K. Levine, 2013. "The Case against Patents," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 3-22, Winter.
    12. 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.
    13. Coad, Alex, 2019. "Persistent heterogeneity of R&D intensities within sectors: Evidence and policy implications," Research Policy, Elsevier, vol. 48(1), pages 37-50.
    14. Nicholas Bloom & Erik Brynjolfsson & Lucia Foster & Ron Jarmin & Megha Patnaik & Itay Saporta-Eksten & John Van Reenen, 2019. "What Drives Differences in Management Practices?," American Economic Review, American Economic Association, vol. 109(5), pages 1648-1683, May.
    15. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    16. de Jong, Jeroen P.J. & Marsili, Orietta, 2006. "The fruit flies of innovations: A taxonomy of innovative small firms," Research Policy, Elsevier, vol. 35(2), pages 213-229, March.
    17. repec:hal:spmain:info:hdl:2441/7rrsl07p559bjr85tr7hsft1o9 is not listed on IDEAS
    18. Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2018. "The impact of the French policy mix on business and R&D : how geography matters," Documents de Travail de l'OFCE 2018-12, Observatoire Francais des Conjonctures Economiques (OFCE).
    19. Matthieu Mandard, 2018. "The uses of patents: Toward a definition of patents as a mechanism of governance of organizations’ innovative activities [Les usages du brevet : vers une définition du brevet comme mécanisme de gou," Post-Print halshs-02344777, HAL.
    20. Benoit Mulkay, 2019. "How does competition affect innovation behaviour in french firms?," Post-Print hal-03511763, HAL.
    21. Belderbos, Rene & Carree, Martin & Diederen, Bert & Lokshin, Boris & Veugelers, Reinhilde, 2004. "Heterogeneity in R&D cooperation strategies," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1237-1263, November.
    22. Marino, Marianna & Lhuillery, Stephane & Parrotta, Pierpaolo & Sala, Davide, 2016. "Additionality or crowding-out? An overall evaluation of public R&D subsidy on private R&D expenditure," Research Policy, Elsevier, vol. 45(9), pages 1715-1730.
    23. Matthieu Mandard, 2018. "Les usages du brevet : vers une définition du brevet comme mécanisme de gouvernance des activités d’innovation des organisations," Innovations, De Boeck Université, vol. 0(3), pages 165-187.
    24. Michael J. Lenox & Scott F. Rockart & Arie Y. Lewin, 2006. "Interdependency, Competition, and the Distribution of Firm and Industry Profits," Management Science, INFORMS, vol. 52(5), pages 757-772, May.
    25. Ajay Agrawal & Carlos Rosell & Timothy Simcoe, 2020. "Tax Credits and Small Firm R&D Spending," American Economic Journal: Economic Policy, American Economic Association, vol. 12(2), pages 1-21, May.
    26. Stephan, Paula E., 2010. "The Economics of Science," 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 217-273, Elsevier.
    27. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    28. Liliana Herrera, 2020. "Effect Of Corporate Scientists On Firms’ Innovation Activity: A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(1), pages 109-153, February.
    29. Bettina Becker, 2015. "Public R&D Policies And Private R&D Investment: A Survey Of The Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 29(5), pages 917-942, December.
    30. Crespi, Gustavo & Giuliodori, David & Giuliodori, Roberto & Rodriguez, Alejandro, 2016. "The effectiveness of tax incentives for R&D+i in developing countries: The case of Argentina," Research Policy, Elsevier, vol. 45(10), pages 2023-2035.
    31. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    32. repec:hal:spmain:info:hdl:2441/4ji8v7q9nt9q0rsm9mqn5dqrrp is not listed on IDEAS
    33. Cohen, Wesley M & Klepper, Steven, 1992. "The Anatomy of Industry R&D Intensity Distributions," American Economic Review, American Economic Association, vol. 82(4), pages 773-799, September.
    34. Montmartin, Benjamin & Herrera, Marcos, 2015. "Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models," Research Policy, Elsevier, vol. 44(5), pages 1065-1079.
    35. Brown, James R. & Martinsson, Gustav & Petersen, Bruce C., 2017. "What promotes R&D? Comparative evidence from around the world," Research Policy, Elsevier, vol. 46(2), pages 447-462.
    36. Yohei Kobayashi, 2014. "Effect of R&D tax credits for SMEs in Japan: a microeconometric analysis focused on liquidity constraints," Small Business Economics, Springer, vol. 42(2), pages 311-327, February.
    37. Ivus, Olena & Jose, Manu & Sharma, Ruchi, 2021. "R&D tax credit and innovation: Evidence from private firms in india," Research Policy, Elsevier, vol. 50(1).
    38. 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.
    39. Montmartin, Benjamin & Herrera, Marcos & Massard, Nadine, 2018. "The impact of the French policy mix on business R&D: How geography matters," Research Policy, Elsevier, vol. 47(10), pages 2010-2027.
    40. 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.
    41. Schmid, Thomas & Achleitner, Ann-Kristin & Ampenberger, Markus & Kaserer, Christoph, 2014. "Family firms and R&D behavior – New evidence from a large-scale survey," Research Policy, Elsevier, vol. 43(1), pages 233-244.
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    More about this item

    Keywords

    R&D; tax credit; firm strategies; firm heterogeneity;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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