Assessing technical and cost efficiency of research activities: A case study of the Italian university system

Research Evaluation

Volumn 18, Issue 1, 2009, Pages 61-70

  Abramo, Giovanni ^a,b   D'Angelo, Ciriaco Andrea ^a,b  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

^b Italian Research Council   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 64549141588     PISSN: 09582029     EISSN: None     Source Type: Journal    
DOI: 10.3152/095820209X408869     Document Type: Article

References (26)

1. Abbott, M and C Doucouliagos 2003. The efficiency of Australian universities: a data envelopment analysis. Economics of Education Review, 22(1), 89-97.
2. Abramo, G 2007. II Trasferimento Tecnologico Pubblico-Privato: un'Analisi Integrata del Sistema italia. Rivista di Politica Economics, 3-4, 45-86.
3. Abramo, G and C A D'Angelo 2007. Measuring science: irresistible temptations, easy shortcuts and dangerous consequences. Current Science, 93(6), 762-766.
4. Abramo, G, C A D'Angelo and F Pugini 2008. The measurement of Italian universities' research productivity by a non parametric-bibliometric methodology. Scientometrics, 76(2), 225-244.
5. Athanassopoulos, A D and E Shale 1997. Assessing the comparative efficiency of higher education institutions in the UK by means of data envelopment analysis. Education Economics, 5, 117-134.
6. Baek, Y 2006. Publishing Productivity of US Academic Scientists and Engineers: an Empirical Examination through Data Envelopment Analysis. New Frontiers in Evaluation Conference, April 2006, Vienna, Austria.
7. Banker, R D, A Charnes and W W Cooper 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
8. Charnes, A, W W Cooper and E Rhodes 1978. Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
9. Coelli, T, DEAP .
10. CRUl, Conferenza dei Rettori delle Università Italiane 2002. La ricerca scientifica nelle università italiane. Una prima analisi delle citazioni della banca dati Isi.
11. EU-DGR, European Union-Dir. Gen. Research 2005. Key Figures 2005 on Science, Technology and Innovation. Towards a European Knowledge Area, ftp://ftp.cordis.europa.eu/pub/ indicators/docs/2004-1857-en-web.pdf, last accessed 21 January 2009.
12. Flegg, A T, D O Allen, K Field and T W Thurlow 2004. Measuring the efficiency of British universities: a multi-period data envelopment analysis. Education Economics, 12(3), 231-249.
13. Georghiou, L and P Laredo 2005. Report on the Berlin International Workshop on the Evaluation of Publicly Funded Research, 26-27 September 2005, Berlin, Germany.
14. Horrobin, D F 1990. The philosophical basis of peer review and the suppression of innovation. Journal of the American Medical Association, 263, 1438-1441.
15. MacRoberts, M H and B R MacRoberts 1996. Problems of citation analysis. Scientometrics, 36, 435-444.
16. Moed, H F 2002. The impact-factors debate: the ISI's uses and limits. Nature, 415, 731-732.
17. Moed, H F and T N van Leeuwen 1996. Impact factors can mislead. Nature, 381, 186.
18. Moxham, H and J Anderson 1992. Peer review: a view from the inside. Science and Technology Policy, 7, 15.
19. NSF, National Science Foundation 2006. Science and Engineering Indicators 2006, , last accessed 21 January 2009.
20. SJTU Institute of Higher Education, Shanghai Jiao Tong University 2006. Academic Ranking of World Universities - 2006, , last accessed 21 January 2009.
21. THES, Times Higher Education Supplement 2006. Higher World University Rankings , last accessed 21 January 2009.
22. Torvik, V I, M Weeber, Don R Swanson and N 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, 56(2), 140-158.
23. Van Raan, A F J 2005. Fatal attraction: conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133-143.
24. Weingart, P 2004. Impact of bibliometrics upon the science system: inadvertent consequences? In Handbook on Quantitative Science and Technology Research, eds. H F Moed, W Glänzel and U Schmoch. Dordrecht, The Netherlands: Kluwer Academic Publishers.
25. Wooding, S, K Wilcox-Jay, G Lewison and J Grant 2006. Coauthor inclusion: a novel recursive algorithmic method for dealing with homonyms in bibliometric analysis. Scientometrics, 66(1), 11-21.
26. Worthington, A C and B L Lee 2005. Efficiency, Technology and Productivity Change in Australian Universities, 1998-2003. Discussion Paper No. 195 in Economic, Finance and International Competitiveness Series, edited by Steven Li, School of Economics and Finance Queensland-Australia, ISSN 1324-5910.