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Determining effects of individual research grants on publication output and impact: The case of the Emmy Noether Programme (German Research Foundation)

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  • Jörg Neufeld

Abstract

Based on publication data (Web of Science, Thomson Reuters) of 280 applicants (medicine and biology, application years 2000–6) to the Emmy Noether Programme for young scientists provided by the German Research Foundation (DFG), this study investigates the relationship between publication performance in the periods preceding/subsequent to the funding decision and the funding decision itself. This is achieved by calculating a path model in which ‘subsequent publication performance’ serves as outcome variable, ‘past performance’ as an exogenous variable, and ‘funding decision’ as a mediator or treatment variable. The model is calculated for several bibliometric, productivity, and impact indicators.

Suggested Citation

  • Jörg Neufeld, 2016. "Determining effects of individual research grants on publication output and impact: The case of the Emmy Noether Programme (German Research Foundation)," Research Evaluation, Oxford University Press, vol. 25(1), pages 50-61.
    • Handle: RePEc:oup:rseval:v:25:y:2016:i:1:p:50-61.
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    References listed on IDEAS

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    1. Ashish Arora & Alfonso Gambardella, 2010. "The Impact of NSF Support for Basic Research in Economics," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 91-115, National Bureau of Economic Research, Inc.
    2. Averch, Harvey A., 1989. "Exploring the cost-efficiency of basic research funding in chemistry," Research Policy, Elsevier, vol. 18(3), pages 165-172, June.
    3. Godin, Benoit, 2007. "Science, accounting and statistics: The input-output framework," Research Policy, Elsevier, vol. 36(9), pages 1388-1403, November.
    4. Broscheid, Andreas & Gschwend, Thomas, 2003. "Augäpfel, Murmeltiere und Bayes: Zur Auswertung stochastischer Daten aus Vollerhebungen," MPIfG Working Paper 03/7, Max Planck Institute for the Study of Societies.
    5. repec:adr:anecst:y:2005:i:79-80:p:04 is not listed on IDEAS
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    1. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    2. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    3. Janne Pölönen & Otto Auranen, 2022. "Research performance and scholarly communication profile of competitive research funding: the case of Academy of Finland," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7415-7433, December.
    4. Gauffriau, Marianne, 2017. "A categorization of arguments for counting methods for publication and citation indicators," Journal of Informetrics, Elsevier, vol. 11(3), pages 672-684.
    5. Krist Vaesen & Joel Katzav, 2017. "How much would each researcher receive if competitive government research funding were distributed equally among researchers?," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-11, September.

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