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Innovationsanreize in einem strukturellen Oligopolmodell

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  • Harhoff, Dietmar

Abstract

In diesem Beitrag wird ein Oligopolmodell der Innovationsaktivität entwickelt und mit Daten aus dem Mannheimer Innovationspanel geschätzt. Das Modell erlaubt es, bei der empirischen Umsetzung auf die Verwendung von Marktanteilsdaten und Nachfrageelastizitäten zu verzichten, die typischerweise nur annähernd ermittelt werden können und eine wichtige Quelle von Fehlspezifikationen darstellen. Die Regressionsergebnisse zeigen auf, daß der Zugang zu Informationsquellen eine wichtige Determinante der FuE-Aktivitäten darstellt. Endogene Schutzmechanismen wie Zeitvorsprünge, Komplexität des Produktdesigns, etc. bestimmen insbesondere den Umfang der gesamten Innovationsaufwendungen, aber weniger den der FuEAufwendungen. Sofern rechtliche Schutzmechanismen (z.B. Patente) effektiv eingesetzt werden können, wirken sie sich positiv auf die FuE-Tätigkeit aus. Firmenspezifische Finanzierungsbedingungen beeinflussen ebenfalls die Innovationsaktivität des Unternehmens. Spezifikationstests, die sich aus dem theoretischen Modell ableiten lassen, führen nicht zu einer Zurückweisung der Validität des Modells.

Suggested Citation

  • Harhoff, Dietmar, 1997. "Innovationsanreize in einem strukturellen Oligopolmodell," ZEW Discussion Papers 97-16, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:5121
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    Citations

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    Cited by:

    1. Najib Harabi, 2002. "The Impact of Vertical R&D Cooperation on Firm Innovation: An Empirical Investigation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(2), pages 93-108.
    2. Gamarra, Yanis & Friedl, Gunther, 2022. "Firms' Involvement in Standardization and Average Total Costs per Patent Family," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265630, International Telecommunications Society (ITS).
    3. Dietmar Harhoff, 1998. "Vertical Organization, Technology Flows and R&D Incentives: An Exploratory Analysis," CIG Working Papers FS IV 98-02, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    4. Kaiser, Ulrich, 2001. "A simple game-theoretical framework for studying R&D expenditures and R&D cooperation," ZEW Discussion Papers 01-22, ZEW - Leibniz Centre for European Economic Research.
    5. Wölfl, Anita, 1998. "Spillover Effects – an Incentive to Cooperate in R&D?," IWH Discussion Papers 79/1998, Halle Institute for Economic Research (IWH).
    6. Wölfl, Anita, 2000. "Spillover Effects and R&D-Cooperations - The Influence of Market Structure," IWH Discussion Papers 122/2000, Halle Institute for Economic Research (IWH).
    7. Gottschalk, Sandra & Janz, Norbert, 2001. "Innovation dynamics and endogenous market structure: econometric results from aggregated survey data," ZEW Discussion Papers 01-39, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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