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R&D, public innovation policy, and productivity: The case of danish manufacturing

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  • Anders Sørensen
  • Hans Christian Kongsted
  • Mats Marcusson

Abstract

The purpose of this paper is to investigate the relationship between private R&D, public innovation support transferred to the private sector, and productivity in Danish manufacturing. Two main conclusions are established. First, public innovation support has a positive and significant effect on private R&D expenditures with an estimated elasticity of 0.062. Second, the indirect effect on productivity from public innovation support is reflected in a positive point estimate which is found to be robust to different specifications of R&D capital.

Suggested Citation

  • Anders Sørensen & Hans Christian Kongsted & Mats Marcusson, 2003. "R&D, public innovation policy, and productivity: The case of danish manufacturing," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(2), pages 163-178.
  • Handle: RePEc:taf:ecinnt:v:12:y:2003:i:2:p:163-178 DOI: 10.1080/10438590303126
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    References listed on IDEAS

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    Cited by:

    1. Spyros Arvanitis & Nora Sydow & Martin Woerter, 2005. "Is There Any Impact of University-Industry Knowledge Transfer on the Performance of Private Enterprises? - An Empirical Analysis Based on Swiss Firm Data," KOF Working papers 05-117, KOF Swiss Economic Institute, ETH Zurich.
    2. Kim, Kyunam & Kim, Yeonbae, 2015. "Role of policy in innovation and international trade of renewable energy technology: Empirical study of solar PV and wind power technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 717-727.
    3. Wolff, Guntram B. & Reinthaler, Volker, 2008. "The effectiveness of subsidies revisited: Accounting for wage and employment effects in business R&D," Research Policy, Elsevier, pages 1403-1412.
    4. Spyros Arvanitis & Nora Sydow & Martin Woerter, 2008. "Is there any Impact of University–Industry Knowledge Transfer on Innovation and Productivity? An Empirical Analysis Based on Swiss Firm Data," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 32(2), pages 77-94, March.
    5. Sahoo, Bimal Kishore & Nauriyal, D.K., 2014. "Trends in and determinants of technical efficiency of software companies in India," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 539-561.

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