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Public R&D Support and Firms' Performance: A Panel Data Study

Author

Listed:
  • Nilsen, Øivind Anti

    (Norwegian School of Economics)

  • Raknerud, Arvid

    (Statistics Norway)

  • Iancu, Diana-Cristina

    (Statistics Norway)

Abstract
We analyse all the major sources of direct and indirect R&D subsidies in Norway in the period 2002-2013 and compare their effects on individual firms' performance. Firms that received support are matched with a control group of firms that did not receive support using a combination of stratification and propensity score matching. Changes in performance indicators before and after support in the treatment group are compared with contemporaneous changes in the control group. We find that the average effects of R&D support among those who obtained grants and/or subsidies are positive and significant in terms of performance indicators related to economic growth: value added, sales revenue and number of employees. The estimated effects are larger for start-up firms than incumbent firms when the effects are measured as relative effects (in percentage points), but smaller when these effects are translated into level effects. Finally, we do not find positive effects on return to total assets or productivity for firms who received support compared with the control group.

Suggested Citation

  • Nilsen, Øivind Anti & Raknerud, Arvid & Iancu, Diana-Cristina, 2018. "Public R&D Support and Firms' Performance: A Panel Data Study," IZA Discussion Papers 11651, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp11651
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Zofia Gródek-Szostak & Marcin Suder & Anna Szeląg-Sikora & Luis Ochoa Siguencia, 2020. "The “Dobry Czas Na Biznes” (“Good Time for Business”) Program as a Form of Support for Self-Employment in Poland. A Case Study of the Sub-Regions of the Małopolskie Province," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    2. Jean Acheson & Rory Malone, 2020. "Respect Your Elders: Evidence from Ireland’s R&D Tax Credit Reform," The Economic and Social Review, Economic and Social Studies, vol. 51(1), pages 105-131.
    3. Hottenrott, Hanna & Richstein, Robert, 2020. "Start-up subsidies: Does the policy instrument matter?," Research Policy, Elsevier, vol. 49(1).
    4. Mehmet Ugur & Eshref Trushin, 2023. "Information asymmetry, risk aversion and R&D subsidies: effect-size heterogeneity and policy conundrums," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(8), pages 1190-1215, November.
    5. Brita Bye & Marit Klemetsen & Arvid Raknerud, 2019. "The impact of public R&D support on firms' patenting," Discussion Papers 911, Statistics Norway, Research Department.

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    More about this item

    Keywords

    firm performance; treatment effects; stratification; public policy; propensity score matching; productivity;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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