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The impact of public R&D policy on business-funded R&D (case of OECD countries)

Author

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  • Balashova, Svetlana

    (Peoples’ Friendship University of Russia, Moscow)

Abstract

The main policy tools used by government to stimulate private R&D are public (government and university) research, government funding of business-performed R&D and fiscal incentives. The aim of the paper is to assess the effect of government spending through these channels on business-funded and business-performed R&D for OECD countries over the period 1981–2012.

Suggested Citation

  • Balashova, Svetlana, 2015. "The impact of public R&D policy on business-funded R&D (case of OECD countries)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 64-82.
  • Handle: RePEc:ris:apltrx:0266
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    References listed on IDEAS

    as
    1. Goolsbee, Austan, 1998. "Does Government R&D Policy Mainly Benefit Scientists and Engineers?," American Economic Review, American Economic Association, vol. 88(2), pages 298-302, May.
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    6. Florence Jaumotte & Nigel Pain, 2005. "An Overview of Public Policies to Support Innovation," OECD Economics Department Working Papers 456, OECD Publishing.
    7. Dominique Guellec & Bruno Van Pottelsberghe De La Potterie, 2003. "The impact of public R&D expenditure on business R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 225-243.
    8. Martin Falk, 2004. "What Drives Business R&D Intensity Across OECD Countries?," WIFO Working Papers 236, WIFO.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Teplykh, Grigorii & Galimardanov, Amal, 2017. "Modeling of innovative investment in Russian regions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 104-125.

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    More about this item

    Keywords

    R&D expenditures; government-funded R&D; tax incentives; fixed effect model; partial adjustment model.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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