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The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology

Author

Listed:
  • Giovanni Abramo

    (University of Rome “Tor Vergata”
    Italian National Research Council
    Università degli Studi di Roma “Tor Vergata”)

  • Ciriaco Andrea D’Angelo

    (University of Rome “Tor Vergata”)

  • Fabio Pugini

    (University of Rome “Tor Vergata”)

Abstract

This paper presents a methodology for measuring the technical efficiency of research activities. It is based on the application of data envelopment analysis to bibliometric data on the Italian university system. For that purpose, different input values (research personnel by level and extra funding) and output values (quantity, quality and level of contribution to actual scientific publications) are considered. Our study aims at overcoming some of the limitations connected to the methodologies that have so far been proposed in the literature, in particular by surveying the scientific production of universities by authors’ name.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D’Angelo & Fabio Pugini, 2008. "The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 225-244, August.
  • Handle: RePEc:spr:scient:v:76:y:2008:i:2:d:10.1007_s11192-007-1942-2
    DOI: 10.1007/s11192-007-1942-2
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    References listed on IDEAS

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    1. Antreas Athanassopoulos & Estelle Shale, 1997. "Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 117-134.
    2. Siegel, Donald S. & Waldman, David & Link, Albert, 2003. "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, Elsevier, vol. 32(1), pages 27-48, January.
    3. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Steven Wooding & Kate Wilcox-Jay & Grant Lewison & Jonathan Grant, 2006. "Co-author inclusion: A novel recursive algorithmic method for dealingwith homonyms in bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 11-21, January.
    6. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2003. "Links and Impacts: The Influence of Public Research on Industrial R&D," Chapters, in: Aldo Geuna & Ammon J. Salter & W. Edward Steinmueller (ed.), Science and Innovation, chapter 4, Edward Elgar Publishing.
    7. María Bordons & Fernanda Morillo & M. Teresa Fernández & Isabel Gómez, 2003. "One step further in the production of bibliometric indicators at the micro level: Differences by gender and professional category of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 159-173, June.
    8. A. T. Flegg & D. O. Allen & K. Field & T. W. Thurlow, 2004. "Measuring the efficiency of British universities: a multi-period data envelopment analysis," Education Economics, Taylor & Francis Journals, vol. 12(3), pages 231-249.
    9. Andrea Bonaccorsi & Cinzia Daraio, 2003. "A robust nonparametric approach to the analysis of scientific productivity," Research Evaluation, Oxford University Press, vol. 12(1), pages 47-69, April.
    10. Ajay Agrawal & Rebecca Henderson, 2002. "Putting Patents in Context: Exploring Knowledge Transfer from MIT," Management Science, INFORMS, vol. 48(1), pages 44-60, January.
    11. Andrea Bonaccorsi & Cinzia Daraio & Léopold Simar, 2006. "Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 389-410, February.
    12. Anthony F. J. van Raan, 2005. "Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(1), pages 133-143, January.
    13. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    14. Jeannette Colyvas & Michael Crow & Annetine Gelijns & Roberto Mazzoleni & Richard R. Nelson & Nathan Rosenberg & Bhaven N. Sampat, 2002. "How Do University Inventions Get Into Practice?," Management Science, INFORMS, vol. 48(1), pages 61-72, January.
    15. Marianne Gauffriau & Peder Olesen Larsen, 2005. "Counting methods are decisive for rankings based on publication and citation studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 85-93, July.
    16. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    17. Vetle I. Torvik & Marc Weeber & Don R. Swanson & Neil R. Smalheiser, 2005. "A probabilistic similarity metric for Medline records: A model for author name disambiguation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(2), pages 140-158, January.
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