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A Classification of Dutch Manufacturing based on a Model of Innovation

Author

Listed:
  • Wladimir Raymond
  • Pierre Mohnen
  • Franz Palm

    ()

  • Sybrand Loeff

Abstract

No abstract is available for this item.

Suggested Citation

  • Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Loeff, 2006. "A Classification of Dutch Manufacturing based on a Model of Innovation," De Economist, Springer, vol. 154(1), pages 85-105, March.
  • Handle: RePEc:kap:decono:v:154:y:2006:i:1:p:85-105
    DOI: 10.1007/s10645-006-0005-z
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    File URL: http://hdl.handle.net/10.1007/s10645-006-0005-z
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    References listed on IDEAS

    as
    1. Raymond, Wladimir & Mohnen, Pierre & Palm, Franz & Schneider, Berit, 2004. "An Empirically-Based Taxonomy of Dutch Manufacturing: Innovation Policy Implications," Research Memorandum 011, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    2. Peters, Bettina & Lööf, Hans & Janz, Norbert, 2003. "Firm Level Innovation and Productivity: Is there a Common Story Across Countries?," ZEW Discussion Papers 03-26, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    3. Thomas Hatzichronoglou, 1997. "Revision of the High-Technology Sector and Product Classification," OECD Science, Technology and Industry Working Papers 1997/2, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    2. repec:zbw:ifweej:201725 is not listed on IDEAS
    3. Ángela Vásquez-Urriago & Andrés Barge-Gil & Aurelia Rico & Evita Paraskevopoulou, 2014. "The impact of science and technology parks on firms’ product innovation: empirical evidence from Spain," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 835-873, September.
    4. Andræs Barge-Gil, 2013. "Open Strategies and Innovation Performance," Industry and Innovation, Taylor & Francis Journals, vol. 20(7), pages 585-610, October.
    5. Albahari, Alberto & Barge-Gil, Andrés & Pérez-Canto, Salvador & Modrego-Rico, Aurelia, 2013. "The Influence of Science and Technology Park Characteristics on Firms’ Innovation Results," MPRA Paper 48829, University Library of Munich, Germany.
    6. Movahedi, Mohammad & Shahbazi, Kiumars & Gaussens, Olivier, 2017. "Innovation and willingness to export: Is there an effect of conscious self-selection?," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 11, pages 1-22.

    More about this item

    Keywords

    CIS; industry classification; innovation policy; two-limit tobit model; C34; C51; O33; O38;

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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