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L'impact du CIR sur les personnels de la recherche

Author

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  • Evens Salies

    (Observatoire français des conjonctures économiques)

Abstract

Cet article propose une revue de la littérature relative aux évaluations d'impact du crédit d’impôt recherche (CIR) sur l'effectif des personnels de la recherche. Après un rappel de l'effet théorique du CIR sur le prix d'usage des connaissances accumulées par les entreprises, nous comparons les résultats des études concernant l'efficacité et l'efficience du dispositif. Ils révèlent, entre autres, que le CIR corrige la discrimination à l'embauche des docteurs dans les entreprises, mais avec un effet d'aubaine pour les docteurs-ingénieurs. Dans les TPE, les aides à l'emploi de RD agissent au détriment de l'emploi non-aidé, malgré le CIR. Enfin, avec seulement 2,5 % des activités de RD éligibles au CIR confiées aux organismes publics, le dispositif favorise le décloisonnement de ces organismes, mais sans effet visible sur leurs effectifs. La majorité des dépenses de RD étant des dépenses de personnel, ces résultats contribuent à expliquer le faible impact du CIR sur la R&D. Ils interrogent aussi le dévoiement du dispositif de sa mission historique : pallier le sous-investissement en RD, et non être un instrument de compétitivité des salariés hautement qualifiés, pendant que le CICE assure celle des salariés rémunérés près du SMIC. Nous concluons l'article par une discussion de la pertinence des réformes récentes du CIR.

Suggested Citation

  • Evens Salies, 2020. "L'impact du CIR sur les personnels de la recherche," Sciences Po publications 07/2020, Sciences Po.
  • Handle: RePEc:spo:wpmain:info:hdl:2441/7mboadgfvr8h3avm8s867a2rtf
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    References listed on IDEAS

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    More about this item

    Keywords

    Politiques publiques de la recherche; Productivité; Recherche et développement; Inférence causale;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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