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Employment versus Efficiency: Which Firms Should R&D Tax Credits Target?

Author

Listed:
  • Anna Bernard
  • Rahim Lila
  • Joana Silva

    (Católica School of Business and Economics, Universidade Católica Portuguesa
    Charles Rivers Associate
    Católica School of Business and Economics, Universidade Católica Portuguesa)

Abstract

R&D tax credits, by stimulating private sector innovation, can play a key role in promoting employment and firm performance. This paper examines the program impact on the trajectory of firms in terms of technology adoption, firm performance and workforce composition, and the extent to which it depends on the size of the targeted firms. It uses rich longitudinal micro-data on innovation, firms and their workers. Combining matching with a staggered adoption differences-in-differences, we show that tax credits increase investment in R&D-related activities while funds are being received, but not thereafter. Productivity and efficiency (but not employment) increase in large firms. These effects are driven by structural changes, both in terms of the increased share of skilled individuals within the firm (keeping the overall employment level constant) and enhanced technological adoption. In contrast, small firms mostly respond by increasing employment and production scale. Our results suggest that an important trade-off: R&D tax credit programs that target large firms are likely to lead to efficiency and productivity gains, but limited effects on employment of supported firms. In contrast, R&D tax credit programs that mostly benefit small firms may lead to employment gains in supported firms, but limited effects on structural changes in productivity and efficiency.

Suggested Citation

  • Anna Bernard & Rahim Lila & Joana Silva, 2023. "Employment versus Efficiency: Which Firms Should R&D Tax Credits Target?," GEE Papers 0176, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2023.
  • Handle: RePEc:mde:wpaper:0176
    as

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    File URL: https://www.gee.gov.pt//RePEc/WorkingPapers/GEE_PAPERS_176.pdf
    File Function: First version, 2023
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    References listed on IDEAS

    as
    1. Jessica Mitchell & Giuseppina Testa & Miguel Sanchez Martinez & Paul N Cunningham & Katarzyna Szkuta, 2020. "Tax incentives for R&D: supporting innovative scale-ups?," Research Evaluation, Oxford University Press, vol. 29(2), pages 121-134.
    2. Esther Ann Bøler & Andreas Moxnes & Karen Helene Ulltveit-Moe, 2015. "R&D, International Sourcing, and the Joint Impact on Firm Performance," American Economic Review, American Economic Association, vol. 105(12), pages 3704-3739, December.
    3. Phillip Toner, 2011. "Workforce Skills and Innovation: An Overview of Major Themes in the Literature," OECD Science, Technology and Industry Working Papers 2011/1, OECD Publishing.
    4. Bastos, Paulo & Monteiro, Natália P. & Straume, Odd Rune, 2018. "Foreign acquisition and internal organization," Journal of International Economics, Elsevier, vol. 114(C), pages 143-163.
    5. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    6. Phillip Toner, 2011. "Workforce Skills and Innovation: An Overview of Major Themes in the Literature," OECD Education Working Papers 55, OECD Publishing.
    7. Daron Acemoglu, 2003. "Patterns of Skill Premia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 199-230.
    8. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    9. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    10. Peters, Bettina, 2004. "Employment Effects of Different Innovation Activities: Microeconometric Evidence," ZEW Discussion Papers 04-73, ZEW - Leibniz Centre for European Economic Research.
    11. Pinelopi Koujianou Goldberg & Amit Kumar Khandelwal & Nina Pavcnik & Petia Topalova, 2010. "Imported Intermediate Inputs and Domestic Product Growth: Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1727-1767.
    12. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    13. Rita Bessone Basto & Ana Martins & Guida Nogueira, 2021. "The Impact of R&D tax incentives in Portugal," GEE Papers 0158, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jan 2021.
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    More about this item

    Keywords

    R&D tax credits; Innovation; SIFIDE; Matching; Differences-in-Differences;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies

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