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Die Nutzung der Innovationsdaten des Mannheimer Innovationspanels für die Politikberatung

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  • Tobias Schmidt
  • Birgit Aschhoff

Abstract

The Mannheim Innovation Panel (MIP), a large scale survey on innovation activities of German firms, is a high-quality database that can be used for policy analysis and policy advice. The article describes how the data from the annual surveys are used for policy advice. A first aspect is the standard reporting on the status quo and developments: The survey's results are included in reports to German ministries, in European Commission publications, specialised journals and newspaper articles. In addition, the data is used for scientific analysis. Topics related to policy issues are for example, the effects of innovation on productivity and employment or the evaluation of public programs for R&D and innovation. The article concludes with an example of an evaluation of R&D funding in Germany and Flanders, which shows how scientific analysis and policy advice can be linked. Die Daten des Mannheimer Innovationspanels (MIP), einer großen Befragung zum Innovationsverhalten deutscher Unternehmen, stellen eine qualitativ hochwertige Basis für die Politikberatung dar. Der Beitrag zeigt auf, wie die Daten und Ergebnisse der jährlichen Erhebung konkret für die Politikberatung genutzt werden. Ein erster Schritt ist die Berichterstattung zum Status quo und zu aktuellen Entwicklungen. Die Ergebnisse der seit 1993 durchgeführten Erhebung fließen unter anderem in Berichte an Ministerien, Publikationen der Europäischen Union, Beiträge für Fachzeitschriften und die Tagespresse ein. Darüber hinaus werden die Daten des Mannheimer Innovationspanels in großem Umfang wissenschaftlich ausgewertet. Themen für wissenschaftliche Analysen mit innovationspolitischer Relevanz sind zum Beispiel der Einfluss von Innovation auf Beschäftigung und Produktivität und die Evaluation von Forschungs- und Technologiepolitik. Der Beitrag endet mit einem Beispiel für die Evaluation öffentlicher Forschungs- und Entwicklungsförderung in Deutschland und Flandern. Das Beispiel zeigt, wie wissenschaftliche Analysen mit Politikberatung verknüpft werden können.

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Bibliographic Info

Article provided by DIW Berlin, German Institute for Economic Research in its journal Vierteljahrshefte zur Wirtschaftsforschung.

Volume (Year): 76 (2007)
Issue (Month): 3 ()
Pages: 17-28

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Handle: RePEc:diw:diwvjh:76-3-3

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  1. Birgit Aschhoff & Tobias Schmidt, 2008. "Empirical Evidence on the Success of R&D Cooperation—Happy Together?," Review of Industrial Organization, Springer, vol. 33(1), pages 41-62, August.
  2. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press, vol. 22(4), pages 483-498, Winter.
  3. Czarnitzki, Dirk & Hussinger, Katrin, 2004. "The Link Between R&D Subsidies, R&D Spending and Technological Performance," ZEW Discussion Papers 04-56, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  4. Spielkamp, Alfred & Rammer, Christian, 2006. "Balanceakt Innovation: Erfolgsfaktoren im Innovationsmanagement kleiner und mittlerer Unternehmen," ZEW Dokumentationen 06-04, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  5. Bettina Peters, 2005. "Employment Effects of Different Innovation Activities: Microeconometric Evidence," Development and Comp Systems 0504002, EconWPA.
  6. Heger, Diana, 2004. "The Link Between Firms? Innovation Decision and the Business Cycle: An Empirical Analysis," ZEW Discussion Papers 04-85, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  7. Fier, Andreas & Aschhoff, Birgit & Löhlein, Heide, 2007. "Detecting Behavioural Additionality: An Empirical Study on the Impact of Public R&D Funding on Firms' Cooperative Behaviour in Germany," ZEW Discussion Papers 06-037 [rev.], ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  8. Lechner, Michael, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute for the Study of Labor (IZA).
  9. Teichert, Thorsten & Sofka, Wolfgang, 2006. "Global Sensing and Sensibility: A Multi-Stage Matching Assessment of Competitive Advantage from Foreign Sources of Innovation," ZEW Discussion Papers 06-09, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  10. Aerts, Kris & Schmidt, Tobias, 2006. "Two for the price of one? On additionality effects of R&D subsidies: A comparison between Flanders and Germany," ZEW Discussion Papers 06-63, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
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