Revisiting size effects in higher education research productivity

Higher Education

Volumn 63, Issue 6, 2012, Pages 701-717

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

^a CNR   (Italy)

^b UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Bibliometrics; Italy; Research productivity; Returns to scale; Returns to size; Universities

Indexed keywords

EID: 84860466577     PISSN: 00181560     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10734-011-9471-6     Document Type: Article

References (34)

1. Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: A data envelopment analysis. Economics of Education Review, 22, 89-97.
2. Abramo, G., Cicero, T., & D'Angelo, C. A. (2011a). The dangers of performance-based research funding in non-competitive higher education systems. Scientometrics (forthcoming). doi: 10. 1007/s11192-011-0355-4.
3. Abramo, G., Cicero, T., & D'Angelo, C. A. (2011b). A field-standardized application of DEA to national-scale research assessment. Journal of Informetrics (forthcoming). doi: 10. 1016/j. joi. 2011. 06. 001.
4. Abramo, G., D'Angelo, C. A., & Caprasecca, A. (2009). Allocative efficiency in public research funding: Can bibliometrics help? Research Policy, 38(1), 206-215.
5. Abramo, G., D'Angelo, C. A., & Di Costa, F. (2008). Assessment of sectoral aggregation distortion in research productivity measurements. Research Evaluation, 17(2), 111-121.
6. Adams, J., Black, G., Clemmons, R., & Stephan, P. (2005). Scientific teams and institutional collaborations: Evidence from U. S. universities, 1981-1999. Research Policy, 34(3), 259-286.
7. Adams, J. D., & Griliches, Z. (1998). Research productivity in a system of universities. Annales d'economie et de statistique, 49/50.
8. Avrikan, N. K. (2001). Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis. Socio-Economic Planning Sciences, 35, 57-80.
9. Bonaccorsi, A., & Daraio, C. (2005). Exploring size and agglomeration effects on public research productivity. Scientometrics, 63(1), 87-120.
10. Cohn, E., Rhine, S. L. W., & Santos, M. C. (1989). Institutions of higher education as multi-product firms: Economies of scale and scope. The Review of Economics and Statistics, 71(2), 284-290.
11. D'Angelo, C. A., Giuffrida, C., & Abramo, G. (2010). A heuristic approach to author name disambiguation in large-scale bibliometric databases. Journal of the American Society for Information Science and Technology, 62(2), 257-269.
12. Dundar, H., & Lewis, D. R. (1995). Departmental productivity in American Universities: Economies of scale and scope. Economics of Education Review, 14(2), 119-144.
13. Dutch-Brown, N., Parellada-Sabata, M., & Polo-Otero, J. (2010). Economies of scale and scope of university research and technology transfer: a flexible multi-product approach. Document de treball de Barcelona Institute of Economics, 2010/51.
14. Glänzel, W. (2008). Seven myths in bibliometrics. About facts and fiction in quantitative science studies. In H. Kretschmer & F. Havemann (eds) Proceedings of WIS fourth international conference on webometrics, informetrics and scientometrics & ninth COLLNET meeting, Berlin, Germany.
15. Golden, J., & Carstensen, F. V. (1992). Academic research productivity, department size and organization: Further results, comment. Economics of Education Review, 11(2), 169-171.
16. Hara, N., Solomon, P., Kim, S. L., & Sonnenwald, D. H. (2003). An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration. Journal of the American Society for Information Science and Technology, 54(10), 952-965.
17. Hashimoto, K., & Cohn, E. (1997). Economies of scale and scope in Japanese private universities. Education Economics, 5, 107-115.
18. Izadi, H., Johnes, G., Oskrochi, R., & Crouchley, R. (2002). Stochastic frontier estimation of a CES cost function: The case of higher education in Britain. Economics of Education Review, 21, 63-71.
19. Jordan, J., Meador, M., & Walters, S. J. K. (1988). Effects of department size and organization on the research productivity of academic economists. Economics of Education Review, 7(2), 251-255.
20. Jordan, J., Meador, M., & Walters, S. J. K. (1989). Academic research productivity, department size and organization: Further results. Economics of Education Review, 8(4), 345-352.
21. Koshal, R. K., & Koshal, M. (1999). Economies of scale and scope in higher education: A case of comprehensive universities. Economics of Education Review, 18, 269-277.
22. Laband, D. N., & Lentz, B. F. (2003). New estimates of economies of scale and scope in higher education. Southern Economic Journal, 70, 172-183.
23. Lewis, D., & Dundar, H. (1999). Cost productivity in higher education: Theory, evidence, and policy implications. In J. Smarth (Eds.), Higher education: Handbook of theory and research. Agathon Press, NY. ISBN: 0-87586-125-3.
24. Longlong, H., Fengliang, L., & Weifang, M. (2009). Multi-product total cost functions for higher education: The case of Chinese research universities. Economics of Education Review, 28, 505-511.
25. Lundberg, J. (2007). Lifting the crown-citation z-score. Journal of Informetrics, 1(2), 145-154.
26. Moed, H. F. (2005). Citation analysis in research evaluation. Dordrecht, The Netherlands: Springer.
27. Moed, H. F., Glänzel, W., & Schmoch, U. (2004). Handbook of quantitative science and technology research: The use of publication and patent statistics in studies of S & T systems. Berlin: Springer.
28. Newell, A., & Sproull, R. F. (1982). Computer networks: Prospects for scientists. Science, 215(4534), 843-852.
29. Seglen, P. O., & Asknes, D. G. (2000). Scientific productivity and group size: A bibliometric analysis of Norwegian microbiological research. Scientometrics, 49(1), 123-143.
30. VTR. (2006). Italian triennial research evaluation. VTR 2001-2003. Risultati delle valutazioni dei Panel di Area. http://vtr2006. cineca. it/index_EN. html. Last accessed 20 July 2011.
31. Wagner, C. S., & Leydesdorff, L. (2005). Network structure, self-organization and the growth of international collaboration in science. Research Policy, 34(10), 1608-1618.
32. Williams, D. A. (1976). Improved likelihood ratio tests for complete contingency tables. Biometrika, 63(1), 33-37.
33. Worthington, A. C., & Higgs, H. (2011). Economies of scale and scope in Australian higher education. Higher Education, 61(4), 387-414. doi: 10. 1007/s10734-010-9337-3.
34. Zitt, M., & Bassecoulard, E. (2004). S&T networks and bibliometrics: The case of international scientific collaboration. 4th Proximity congress: Proximity, networks and co-ordination, Marseille, France, June 17-18, 2004, p 15.