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Die Wirkungsanalyse staatlicher Förderprogramme durch den Einsatz von Matching- und Selektionsmodellen am Beispiel der Fertigungstechnik

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  • Fier, Andreas
  • Heger, Diana
  • Hussinger, Katrin

Abstract

Mit dem Ziel die technologische Wettbewerbsfähigkeit zu steigern, investieren die Staaten der OECD jährlich beträchtliche Summen in die Förderung von Forschungs- und Entwicklungsaktivitäten (FuE). Angesichts knapper öffentlicher Budgets ist der Effektivität und Effizienz dieser Förderung eine hohe Bedeutung beizumessen. Neuere Methoden der Wirkungsanalyse tragen dazu bei, begründete Zweifel, die mit dieser Förderung einhergehen, auszuräumen oder zu bekräftigen. Diese Studie widmet sich zwei neueren quantitativen Methoden zur Wirkungsanalyse am Beispiel des deutschen Förderprogramms ?Fertigungstechnik?. Den Ergebnissen der Selektions- und Matchingansätze zufolge investieren Unternehmen der Fertigungstechnik im Durchschnitt zwischen 67 und 75 Prozent mehr in FuE, wenn sie gefördert werden.

Suggested Citation

  • Fier, Andreas & Heger, Diana & Hussinger, Katrin, 2005. "Die Wirkungsanalyse staatlicher Förderprogramme durch den Einsatz von Matching- und Selektionsmodellen am Beispiel der Fertigungstechnik," ZEW Discussion Papers 05-09, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  • Handle: RePEc:zbw:zewdip:2899
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    Cited by:

    1. Carolin Fritzsche & Christian Ochsner, 2014. "Die Innovationszulage: Ein neuer Ansatz der Innovationsförderung," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 04-14, June.
    2. Aschhoff, Birgit & Astor, Michael & Crass, Dirk & Eckert, Thomas & Heinrich, Stephan & Licht, Georg & Rammer, Christian & Riesenberg, Daniel & Rüffer, Niclas & Strohmeyer, Robert & Tonoyan, Vartuhi & , 2012. "Systemevaluierung "KMU-innovativ"," ZEW Dokumentationen 12-04, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    3. Christian Leßmann & Joachim Ragnitz & Beate Schirwitz & Marcel Thum & Susan Kühn & Christian Thater, 2008. "Revolvierende Fonds als Instrument zur Neuausrichtung der Förderpolitik : Gutachten im Auftrag der Sächsischen Landesbank (SAB)," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 44, October.
    4. Rammer, Christian & Aschhoff, Birgit & Crass, Dirk & Eckert, Thomas & Licht, Georg & Astor, Michael & Heinrich, Stephan & Riesenberg, Daniel & Woywode, Michael & Strohmeyer, Robert & Tonoyan, Vartuhi , 2011. "Systemevaluierung KMU-innovativ: Begleit- und Wirkungsforschung zur Hightech-Strategie. Abschlussbericht," ZEW Expertises, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research, number 110524.
    5. Thomas Brenner & Carsten Emmrich & Charlotte Schlump, 2013. "Regional Effects of a Cluster-oriented policy measure. The Case of the InnoRegio program in Germany," Working Papers on Innovation and Space 2013-05, Philipps University Marburg, Department of Geography.

    More about this item

    Keywords

    Innovation; Public R&D Subsidies; Policy Evaluation; Parametric and Semiparametric Models;

    JEL classification:

    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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