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How do firm characteristics affect behavioural additionalities of public R&D subsidies? Evidence for the Austrian transport sector

Author

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  • Wanzenböck, Iris
  • Scherngell, Thomas
  • Fischer, Manfred M.

Abstract

Interest of STI policies to influence the innovation behaviour of firms has been increased considerably. This gives rise to the notion of behavioural additionality, broadening traditional evaluation concepts of input and output additionality. Though there is empirical work measuring behavioural additionalities, we know little about what role distinct firm characteristics play for their occurrence. The objective is to estimate how distinct firm characteristics influence the realisation of behavioural additionalities. We use survey data on 155 firms, considering the behavioural additionalities stimulated by the Austrian R&D funding scheme in the field of intelligent transport systems in 2006. We focus on three different forms of behavioural additionality – project additionality, scale additionality and cooperation additionality – and employ binary regression models to address this question. Results indicate that R&D related firm characteristics significantly affect the realisation of behavioural additionality. Firms with a high level of R&D resources are less likely to substantiate behavioural additionalities, while small, young and technologically specialised firms more likely realise behavioural additionalities. From a policy perspective, this indicates that direct R&D promotion of firms with high R&D resources may be misallocated, while attention of public support should be shifted to smaller, technologically specialised firms with lower R&D experience.

Suggested Citation

  • Wanzenböck, Iris & Scherngell, Thomas & Fischer, Manfred M., 2013. "How do firm characteristics affect behavioural additionalities of public R&D subsidies? Evidence for the Austrian transport sector," MPRA Paper 77552, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:77552
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    File URL: https://mpra.ub.uni-muenchen.de/77552/1/MPRA_paper_77552.pdf
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    References listed on IDEAS

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    1. Manfred M. Fischer, 2001. "Innovation, knowledge creation and systems of innovation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(2), pages 199-216.
    2. Garcia-Vega, Maria, 2006. "Does technological diversification promote innovation?: An empirical analysis for European firms," Research Policy, Elsevier, vol. 35(2), pages 230-246, March.
    3. David, Paul A. & Hall, Bronwyn H. & Toole, Andrew A., 2000. "Is public R&D a complement or substitute for private R&D? A review of the econometric evidence," Research Policy, Elsevier, vol. 29(4-5), pages 497-529, April.
    4. Luukkonen, Terttu, 2000. "Additionality of EU framework programmes1," Research Policy, Elsevier, vol. 29(6), pages 711-724, June.
    5. Autio, Erkko & Kanninen, Sami & Gustafsson, Robin, 2008. "First- and second-order additionality and learning outcomes in collaborative R&D programs," Research Policy, Elsevier, vol. 37(1), pages 59-76, February.
    6. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297-297.
    7. Falk, Rahel, 2007. "Measuring the effects of public support schemes on firms' innovation activities: Survey evidence from Austria," Research Policy, Elsevier, vol. 36(5), pages 665-679, June.
    8. Clarysse, Bart & Wright, Mike & Mustar, Philippe, 2009. "Behavioural additionality of R&D subsidies: A learning perspective," Research Policy, Elsevier, vol. 38(10), pages 1517-1533, December.
    9. Manfred Paier & Thomas Scherngell, 2011. "Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice Model," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 89-104.
    10. Galende, Jesus & de la Fuente, Juan Manuel, 2003. "Internal factors determining a firm's innovative behaviour," Research Policy, Elsevier, vol. 32(5), pages 715-736, May.
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    Cited by:

    1. Ugur, Mehmet & Trushin, Eshref, 2018. "Asymmetric information and heterogeneous effects of R&D subsidies: evidence on R&D investment and employment of R&D personel," Greenwich Papers in Political Economy 21943, University of Greenwich, Greenwich Political Economy Research Centre.
    2. Annalisa Caloffi & Federica Rossi & Margherita Russo, 2017. "A tale of persistent network additionality, with evidence from a regional policy," Working Papers 38, Birkbeck Centre for Innovation Management Research, revised May 2017.

    More about this item

    Keywords

    Behavioural additionality; public R&D subsidies; STI policy evaluation;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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