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Impact de la politique de mise à niveau sur l’innovation : le cas des entreprises industrielles algériennes

Author

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  • Mounir Amdaoud
  • Messaoud Zouikri

Abstract

This article aims to evaluate the effect of public upgrading policies on firms? innovation activities. The empirical study carried out on a sample of Algerian manufacturing firms reveals that firms that have participated in the upgrading program are more likely to engage in product innovation compared to those that have not applied the policy. Furthermore, the improvement of human resources skills, the use of ICT, and compliance with performance criteria largely explain the differences in firms? engagement in product innovation. The traditional factors of R&D expenditure and firm size do not seem to be significant predictors of innovation activity. JEL classification: O32, D22, C34.

Suggested Citation

  • Mounir Amdaoud & Messaoud Zouikri, 2019. "Impact de la politique de mise à niveau sur l’innovation : le cas des entreprises industrielles algériennes," Revue d'économie industrielle, De Boeck Université, vol. 0(4), pages 9-44.
    • Handle: RePEc:cai:reidbu:rei_168_0009
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    Citations

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    Cited by:

    1. Ghomari Souhila, 2020. "Impact of Upgrade Programmes on the Competitiveness: Case of the Algerian Companies," Economics and Business, Sciendo, vol. 34(1), pages 201-223, February.

    More about this item

    Keywords

    upgrading policy; product innovation; Algerian manufacturing industry; recursive equation system;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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