IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v79y2009i2d10.1007_s11192-009-0422-2.html
   My bibliography  Save this article

Research quality and diversity of funding: A model for relating research money to output of research

Author

Listed:
  • Ulf Sandström

    (Linköping University)

Abstract

We analyze the relation between funding and output using bibliometric methods with field normalized data. Our approach is to connect individual researcher data on funding from Swedish university databases to data on incoming grants using the specific personal ID-number. Data on funding include the person responsible for the grant. All types of research income are considered in the analysis yielding a project database with a high level of precision. Results show that productivity can be explained by background variables, but that quality of research is more or less un-related to background variables.

Suggested Citation

  • Ulf Sandström, 2009. "Research quality and diversity of funding: A model for relating research money to output of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 341-349, May.
    • Handle: RePEc:spr:scient:v:79:y:2009:i:2:d:10.1007_s11192-009-0422-2
    DOI: 10.1007/s11192-009-0422-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0422-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-009-0422-2?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. Anthony F.J. van Raan, 2006. "Statistical properties of bibliometric indicators: Research group indicator distributions and correlations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 408-430, February.
    2. James S. Dietz & Ivan Chompalov & Barry Bozeman & Eliesh O'Neil Lane & Jongwon Park, 2000. "Using the Curriculum Vita to Study the Career Paths of Scientists and Engineers: An Exploratory Assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 419-442, November.
    3. Dundar, Halil & Lewis, Darrell R., 1995. "Departmental productivity in American universities: Economies of scale and scope," Economics of Education Review, Elsevier, vol. 14(2), pages 119-144, June.
    4. Dietz, James S. & Bozeman, Barry, 2005. "Academic careers, patents, and productivity: industry experience as scientific and technical human capital," Research Policy, Elsevier, vol. 34(3), pages 349-367, April.
    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. Xianwen Wang & Di Liu & Kun Ding & Xinran Wang, 2012. "Science funding and research output: a study on 10 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 591-599, May.
    2. Liv Langfeldt & Carter Walter Bloch & Gunnar Sivertsen, 2015. "Options and limitations in measuring the impact of research grants—evidence from Denmark and Norway," Research Evaluation, Oxford University Press, vol. 24(3), pages 256-270.
    3. 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.
    4. Jiang Wu & Miao Jin & Xiu-Hao Ding, 2015. "Diversity of individual research disciplines in scientific funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 669-686, May.
    5. Gill, Chelsea & Mehrotra, Vishal & Moses, Olayinka & Bui, Binh, 2024. "The impact of the Pitching Research Framework on AFAANZ grant applications: A pre-registered study," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    6. Jue Wang & Philip Shapira, 2011. "Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 563-586, June.
    7. Gill, Chelsea & Mehrotra, Vishal & Moses, Olayinka & Bui, Binh, 2023. "The impact of the pitching research framework on AFAANZ grant applications," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    8. ONISHI Koichiro & OWAN Hideo, 2020. "Heterogenous Impacts of National Research Grants on Academic Productivity," Discussion papers 20052, Research Institute of Economy, Trade and Industry (RIETI).
    9. Ashkan Ebadi & Andrea Schiffauerova, 2016. "How to boost scientific production? A statistical analysis of research funding and other influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1093-1116, March.
    10. John Rigby, 2013. "Looking for the impact of peer review: does count of funding acknowledgements really predict research impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 57-73, January.

    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. Naomi Fukuzawa, 2014. "An empirical analysis of the relationship between individual characteristics and research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 785-809, June.
    2. Julia Melkers & Agrita Kiopa, 2010. "The Social Capital of Global Ties in Science: The Added Value of International Collaboration," Review of Policy Research, Policy Studies Organization, vol. 27(4), pages 389-414, July.
    3. Luis Sanz-Menéndez & Laura Cruz-Castro & Kenedy Alva, 2013. "Time to Tenure in Spanish Universities: An Event History Analysis," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    4. Geuna, Aldo & Kataishi, Rodrigo & Toselli, Manuel & Guzmán, Eduardo & Lawson, Cornelia & Fernandez-Zubieta, Ana & Barros, Beatriz, 2015. "SiSOB data extraction and codification: A tool to analyze scientific careers," Research Policy, Elsevier, vol. 44(9), pages 1645-1658.
    5. Yasuhiro Yamashita & Daisuke Yoshinaga, 2014. "Influence of researchers’ international mobilities on publication: a comparison of highly cited and uncited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1475-1489, November.
    6. Su, Xuhong, 2014. "Academic scientists’ affiliation with university research centers: Selection dynamics," Research Policy, Elsevier, vol. 43(2), pages 382-390.
    7. Carolina Cañibano & F. Javier Otamendi & Francisco Solís, 2011. "International temporary mobility of researchers: a cross-discipline study," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 653-675, November.
    8. Sabharwal, Meghna & Hu, Qian, 2013. "Participation in university-based research centers: Is it helping or hurting researchers?," Research Policy, Elsevier, vol. 42(6), pages 1301-1311.
    9. Koen Jonkers & Robert Tijssen, 2008. "Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 309-333, November.
    10. Cruz-Castro, Laura & Sanz-Menéndez, Luis, 2010. "Mobility versus job stability: Assessing tenure and productivity outcomes," Research Policy, Elsevier, vol. 39(1), pages 27-38, February.
    11. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
    12. Albertini, Julien & Terriau, Anthony, 2019. "Informality over the life-cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 182-202.
    13. Takanori Ida & Naomi Fukuzawa, 2013. "Effects of large-scale research funding programs: a Japanese case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1253-1273, March.
    14. 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).
    15. Young-Choon Kim & Taekjin Shin & Sangchan Park, 2021. "Enhancing firm performance through intra-group managerial experience: Evidence from group-affiliated firms in Korea," Asia Pacific Journal of Management, Springer, vol. 38(2), pages 435-465, June.
    16. Christopher S. Hayter, 2016. "A trajectory of early-stage spinoff success: the role of knowledge intermediaries within an entrepreneurial university ecosystem," Small Business Economics, Springer, vol. 47(3), pages 633-656, October.
    17. Michael Fritsch & Stefan Krabel, 2012. "Ready to leave the ivory tower?: Academic scientists’ appeal to work in the private sector," The Journal of Technology Transfer, Springer, vol. 37(3), pages 271-296, June.
    18. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    19. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Structured evaluation of the scientific output of academic research groups by recent h-based indicators," Journal of Informetrics, Elsevier, vol. 5(1), pages 64-74.
    20. Daraio, Cinzia & Bonaccorsi, Andrea & Geuna, Aldo & Lepori, Benedetto & Bach, Laurent & Bogetoft, Peter & F. Cardoso, Margarida & Castro-Martinez, Elena & Crespi, Gustavo & de Lucio, Ignacio Fernandez, 2011. "The European university landscape: A micro characterization based on evidence from the Aquameth project," Research Policy, Elsevier, vol. 40(1), pages 148-164, February.

    More about this item

    Statistics

    Access and download statistics

    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:spr:scient:v:79:y:2009:i:2:d:10.1007_s11192-009-0422-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.