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Interrelated funding streams in a multi-funder university system: Evidence from the German Exzellenzinitiative

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  • Buenstorf, Guido
  • Koenig, Johannes

Abstract

Using the Zukunftskonzepte funding line of the German Exzellenzinitiative as our empirical setting and employing a difference-in-differences approach, we study interrelations in the competitive funding of research projects. Our results indicate that enhanced inequality introduced through the Exzellenzinitiative was partially offset by changes in the allocation of resources from other funders.

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  • Buenstorf, Guido & Koenig, Johannes, 2020. "Interrelated funding streams in a multi-funder university system: Evidence from the German Exzellenzinitiative," Research Policy, Elsevier, vol. 49(3).
    • Handle: RePEc:eee:respol:v:49:y:2020:i:3:s0048733320300044
    DOI: 10.1016/j.respol.2020.103924
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    1. Pierre Azoulay & Toby Stuart & Yanbo Wang, 2014. "Matthew: Effect or Fable?," Management Science, INFORMS, vol. 60(1), pages 92-109, January.
    2. Aldo Geuna, 2001. "The Changing Rationale for European University Research Funding: Are There Negative Unintended Consequences?," Journal of Economic Issues, Taylor & Francis Journals, vol. 35(3), pages 607-632, September.
    3. Dirk Czarnitzki & Christoph Grimpe & Andrew A. Toole, 2015. "Delay and secrecy: does industry sponsorship jeopardize disclosure of academic research?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 251-279.
    4. Matthias Menter & Erik E. Lehmann & Torben Klarl, 2018. "In search of excellence: a case study of the first excellence initiative of Germany," Journal of Business Economics, Springer, vol. 88(9), pages 1105-1132, December.
    5. Hottenrott, Hanna & Lawson, Cornelia, 2013. "Fishing for Complementarities: Competitive Research Funding and Research Productivity," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201318, University of Turin.
    6. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    7. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    8. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    9. Partha, Dasgupta & David, Paul A., 1994. "Toward a new economics of science," Research Policy, Elsevier, vol. 23(5), pages 487-521, September.
    10. Janet Bercovitz & Maryann Feldman, 2008. "Academic Entrepreneurs: Organizational Change at the Individual Level," Organization Science, INFORMS, vol. 19(1), pages 69-89, February.
    11. Blume, Lorenz & Postlep, Rolf-Dieter, 2009. "Veränderungen der Hochschulfinanzierung aus regionalpolitischer Sicht," Forschungs- und Sitzungsberichte der ARL: Aufsätze, in: Mäding, Heinrich (ed.), Öffentliche Finanzströme und räumliche Entwicklung, volume 127, pages 135-146, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    12. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    13. Frietsch, Rainer & Schubert, Torben & Rothengatter, Oliver, 2017. "An analysis of the Excellence Initiative and its effects on the funded universities," Studien zum deutschen Innovationssystem 11-2017, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    14. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
    15. Grimpe, Christoph, 2012. "Extramural research grants and scientists’ funding strategies: Beggars cannot be choosers?," Research Policy, Elsevier, vol. 41(8), pages 1448-1460.
    16. Braun, Dietmar, 1998. "The role of funding agencies in the cognitive development of science," Research Policy, Elsevier, vol. 27(8), pages 807-821, December.
    17. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    18. Hottenrott, Hanna & Lawson, Cornelia, 2017. "Fishing for complementarities: Research grants and research productivity," International Journal of Industrial Organization, Elsevier, vol. 51(C), pages 1-38.
    19. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.
    20. Johannes Koenig & Thomas Brenner & Guido Buenstorf, 2017. "Regional effects of university funding: Excellence at the cost of regional disparity?," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 37(2), pages 111-133, October.
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    Cited by:

    1. Uwe Cantner & Nils Grashof & Thomas Grebel & Anna Kosmützky & Georg Krücken & Xijie Zhang, 2023. "Competitive positioning of German Universities: Deliberate Decision, Fate, or Fiction?," Jena Economics Research Papers 2023-012, Friedrich-Schiller-University Jena.
    2. Cantner, Uwe & Grashof, Nils & Grebel, Thomas & Zhang, Xijie, 2023. "When Excellence is not Excellent: The Impact of the Excellence Initiative on the Relative Productivity of German Universities," MPRA Paper 118139, University Library of Munich, Germany.
    3. Krieger, Bastian, 2023. "Heterogeneous regional university funding and firm innovation: An empirical analysis of the German excellence initiative," ZEW Discussion Papers 23-006, ZEW - Leibniz Centre for European Economic Research.

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