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The determinants of academic career advancement: Evidence from Italy

Author

Listed:
  • Giovanni Abramo
  • Ciriaco Andrea D’Angelo
  • Francesco Rosati

Abstract

This paper investigates the determinants of professors’ career advancement in Italian universities. From the analyses, it emerges that the fundamental determinant of an academic candidate’s success is not scientific merit, but rather the number of years that the candidate has belonged to the same university as the president of the selection committee. Where applicants have participated in research work with the president, their probability of success also increases significantly. The factors of the years of service and occurrence of joint research with other members of the commission also have an effect, however, that carries less weight. Nepotism, although it exists, seems less important. The scientific quality of the members of the commission has a negligible effect on the expected outcome of the competition, and even less so the geographical location of the university holding the competition.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2015. "The determinants of academic career advancement: Evidence from Italy," Science and Public Policy, Oxford University Press, vol. 42(6), pages 761-774.
    • Handle: RePEc:oup:scippl:v:42:y:2015:i:6:p:761-774.
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    File URL: http://hdl.handle.net/10.1093/scipol/scu086
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    References listed on IDEAS

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    1. Ruben Durante & Giovanna Labartino & Roberto Perotti, 2011. "Academic Dynasties: Decentralization and Familism in the Italian Academia," NBER Working Papers 17572, National Bureau of Economic Research, Inc.
    2. repec:cte:idrepe:id-12-02 is not listed on IDEAS
    3. Guell, Maia & Rodriguez Mora, Jose V. & Telmer, Chris, 2007. "Intergenerational mobility and the informative content of surnames," LSE Research Online Documents on Economics 19701, London School of Economics and Political Science, LSE Library.
    4. Natalia Zinovyeva & Manuel Bagues, 2015. "The Role of Connections in Academic Promotions," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 264-292, April.
    5. Dunn, Thomas & Holtz-Eakin, Douglas, 2000. "Financial Capital, Human Capital, and the Transition to Self-Employment: Evidence from Intergenerational Links," Journal of Labor Economics, University of Chicago Press, vol. 18(2), pages 282-305, April.
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    Cited by:

    1. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Di Costa, Flavia, 2019. "When research assessment exercises leave room for opportunistic behavior by the subjects under evaluation," Journal of Informetrics, Elsevier, vol. 13(3), pages 830-840.
    2. D. Checchi & S. Cicognani & N. Kulic, 2015. "Gender quotas or girls networks? Towards an understanding of recruitment in the research profession in Italy," Working Papers wp1047, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    4. Giovanni Abramo & Ciriaco Andrea D’Angelo & Anastasiia Soldatenkova, 2017. "How long do top scientists maintain their stardom? An analysis by region, gender and discipline: evidence from Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 867-877, February.
    5. Migheli, Matteo & Zotti, Roberto, 2020. "The strange case of the Matthew effect and beauty contests: Research evaluation and specialisation in Italian universities," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    6. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Rosati, Francesco, 2016. "A methodology to measure the effectiveness of academic recruitment and turnover," Journal of Informetrics, Elsevier, vol. 10(1), pages 31-42.
    7. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2016. "The ratio of top scientists to the academic staff as an indicator of the competitive strength of universities," Journal of Informetrics, Elsevier, vol. 10(2), pages 596-605.
    8. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).
    9. Giovanni Abramo & Ciriaco Andrea D’Angelo & Emanuela Reale, 2019. "Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 537-554, October.
    10. Federica Bologna & Angelo Iorio & Silvio Peroni & Francesco Poggi, 2023. "Do open citations give insights on the qualitative peer-review evaluation in research assessments? An analysis of the Italian National Scientific Qualification," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 19-53, January.

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