IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v79y2009i3d10.1007_s11192-007-2046-8.html
   My bibliography  Save this article

Gender differences in research productivity: A bibliometric analysis of the Italian academic system

Author

Listed:
  • Giovanni Abramo

    (University of Rome “Tor Vergata”, Facoltà di Ingegneria, Dipartimento di Ingegneria dell’Impresa
    Italian Research Council)

  • Ciriaco Andrea D’Angelo

    (University of Rome “Tor Vergata”, Facoltà di Ingegneria, Dipartimento di Ingegneria dell’Impresa)

  • Alessandro Caprasecca

    (University of Rome “Tor Vergata”, Facoltà di Ingegneria, Dipartimento di Ingegneria dell’Impresa)

Abstract

The literature dedicated to the analysis of the difference in research productivity between the sexes tends to agree in indicating better performance for men. Through bibliometric examination of the entire population of research personnel working in the scientific-technological disciplines of Italian university system, this study confirms the presence of significant differences in productivity between men and women. The differences are, however, smaller than reported in a large part of the literature, confirming an ongoing tendency towards decline, and are also seen as more noticeable for quantitative performance indicators than other indicators. The gap between the sexes shows significant sectorial differences. In spite of the generally better performance of men, there are scientific sectors in which the performance of women does not prove to be inferior.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D’Angelo & Alessandro Caprasecca, 2009. "Gender differences in research productivity: A bibliometric analysis of the Italian academic system," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 517-539, June.
    • Handle: RePEc:spr:scient:v:79:y:2009:i:3:d:10.1007_s11192-007-2046-8
    DOI: 10.1007/s11192-007-2046-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-007-2046-8
    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/s11192-007-2046-8?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. Andrea Bonaccorsi & Cinzia Daraio, 2003. "Age effects in scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 49-90, September.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. Chen, Ya & Pan, Yongbin & Liu, Haoxiang & Wu, Huaqing & Deng, Guangwei, 2023. "Efficiency analysis of Chinese universities with shared inputs: An aggregated two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    2. M. Teresa Antonio-García & Irene López-Navarro & Jesús Rey-Rocha, 2014. "Determinants of success for biomedical researchers: a perception-based study in a health science research environment," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1747-1779, December.
    3. Yann Kossi & Jean-Yves Lesueur & Mareva Sabatier, 2016. "Publish or teach? The role of the scientific environment on academics’ multitasking," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(3), pages 487-506.
    4. Carillo, Maria Rosaria & Papagni, Erasmo & Sapio, Alessandro, 2013. "Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 25-36.
    5. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2010. "National research assessment exercises: a measure of the distortion of performance rankings when labor input is treated as uniform," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 605-619, September.
    6. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    7. 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.
    8. Nicolas Carayol, 2006. "La production de brevets par les chercheurs et enseignants-chercheurs.. Le cas de l'université Louis Pasteur," Economie & Prévision, La Documentation Française, vol. 0(4), pages 117-134.
    9. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2011. "The relationship between scientists’ research performance and the degree of internationalization of their research," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 629-643, March.
    10. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2010. "Citations versus journal impact factor as proxy of quality: could the latter ever be preferable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 821-833, September.
    11. Liming Liang & Junwan Liu & Ronald Rousseau, 2004. "Name order patterns of graduate candidates and supervisors in Chinese publications: A case study of three major Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 3-18, September.
    12. Richard Freeman & John Van Reenen, 2009. "What If Congress Doubled R&D Spending on the Physical Sciences?," NBER Chapters, in: Innovation Policy and the Economy, Volume 9, pages 1-38, National Bureau of Economic Research, Inc.
    13. Jung, Taehyun & Ejermo, Olof, 2014. "Demographic patterns and trends in patenting: Gender, age, and education of inventors," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 110-124.
    14. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "Evaluating research: from informed peer review to bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 499-514, June.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2011. "A national-scale cross-time analysis of university research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 399-413, May.
    16. Oscar Llopis & Mabel Sánchez-Barrioluengo & Julia Olmos-Peñuela & Elena Castro-Martínez, 2018. "Scientists’ engagement in knowledge transfer and exchange: Individual factors, variety of mechanisms and users," Science and Public Policy, Oxford University Press, vol. 45(6), pages 790-803.
    17. Liney Manjarrés-Henríquez & Antonio Gutiérrez-Gracia & Jaider Vega-Jurado, 2008. "Coexistence of university-industry relations and academic research: Barrier to or incentive for scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 561-576, September.
    18. Perlin, Marcelo S. & Santos, André A.P. & Imasato, Takeyoshi & Borenstein, Denis & Da Silva, Sergio, 2017. "The Brazilian scientific output published in journals: A study based on a large CV database," Journal of Informetrics, Elsevier, vol. 11(1), pages 18-31.
    19. Bronwyn Hall & Jacques Mairesse & Laure Turner, 2007. "Identifying Age, Cohort, And Period Effects In Scientific Research Productivity: Discussion And Illustration Using Simulated And Actual Data On French Physicists," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(2), pages 159-177.
    20. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.

    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:3:d:10.1007_s11192-007-2046-8. 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.