IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v49y2020i3s0048733320300044.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048733320300044
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.respol.2020.103924?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Krieger, Bastian, 2024. "Heterogeneous university funding programs and regional firm innovation," Research Policy, Elsevier, vol. 53(5).
    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. 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.
    4. Abbas Abdul, 2023. "Policy seduction and governance resistance? Examining public funding agencies and academic institutions on decarbonisation research," Science and Public Policy, Oxford University Press, vol. 50(1), pages 87-101.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    2. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    3. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    4. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
    5. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    6. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    7. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    8. Dorner, Matthias & Görlitz, Katja, 2020. "Training, wages and a missing school graduation cohort," IAB-Discussion Paper 202028, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Jan Stede & Nils May, 2020. "Way Off: The Effect of Minimum Distance Regulation on the Deployment of Wind Power," Discussion Papers of DIW Berlin 1867, DIW Berlin, German Institute for Economic Research.
    10. Bezu, Sosina & Binyaruka, Peter & Mæstad, Ottar & Somville, Vincent, 2021. "Pay-for-performance reduces bypassing of health facilities: Evidence from Tanzania," Social Science & Medicine, Elsevier, vol. 268(C).
    11. Ban, Radu & Gilligan, Michael J. & Rieger, Matthias, 2020. "Self-help groups, savings and social capital: Evidence from a field experiment in Cambodia," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 174-200.
    12. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LP, vol. 23(4), pages 942-982, December.
    13. Goussé, Marion & Leturcq, Marion, 2022. "More or less unmarried. The impact of legal settings of cohabitation on labour market outcomes," European Economic Review, Elsevier, vol. 149(C).
    14. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for binary response models," Papers 2406.00650, arXiv.org.
    15. Gerling, Lena & Kellermann, Kim Leonie, 2022. "Contagious populists: The impact of election information shocks on populist party preferences in Germany," European Journal of Political Economy, Elsevier, vol. 72(C).
    16. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    17. Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
    18. MacKinnon, James G. & Webb, Matthew D., 2020. "Randomization inference for difference-in-differences with few treated clusters," Journal of Econometrics, Elsevier, vol. 218(2), pages 435-450.
    19. Gerling, Lena & Kellermann, Kim Leonie, 2019. "The impact of election information shocks on populist party preferences: Evidence from Germany," CIW Discussion Papers 3/2019, University of Münster, Center for Interdisciplinary Economics (CIW).
    20. Jalil, Andrew J. & Tasoff, Joshua & Bustamante, Arturo Vargas, 2020. "Eating to save the planet: Evidence from a randomized controlled trial using individual-level food purchase data," Food Policy, Elsevier, vol. 95(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:respol:v:49:y:2020:i:3:s0048733320300044. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/respol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.