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Evaluation of Public R&D Policy: A Meta-Regression Analysis

Author

Listed:
  • Syoum Negassi

    (UP1 - Université Paris 1 Panthéon-Sorbonne, PRISM Sorbonne - Pôle de recherche interdisciplinaire en sciences du management - UP1 - Université Paris 1 Panthéon-Sorbonne)

  • Jean-François Sattin

    (UP1 - Université Paris 1 Panthéon-Sorbonne, PRISM Sorbonne - Pôle de recherche interdisciplinaire en sciences du management - UP1 - Université Paris 1 Panthéon-Sorbonne)

Abstract

Economic theory and empirical evidence indicate that technological innovation is an important determinant of long-term economic development. Various country policies have been launched in favour of private research and development (R&D) with economic development as the main objective. As often in economics, public intervention is grounded on the presumed existence of market failures. The purpose of this paper is two-fold. First, it provides an overview of the history of R&D-related tax policies in more than ten industrial countries. Second, after reviewing the existent empirical evidence on the effectiveness of R&D tax credits policies, it presents a meta-regression analysis based on an econometric model. Our results show that an R&D tax credit is strongly significant in the studies taken cumulatively.

Suggested Citation

  • Syoum Negassi & Jean-François Sattin, 2019. "Evaluation of Public R&D Policy: A Meta-Regression Analysis," Post-Print hal-04012341, HAL.
    • Handle: RePEc:hal:journl:hal-04012341
    DOI: 10.4236/ti.2019.101001
    as

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    Keywords

    R&D; Meta-Analysis;

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