IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v14y2005i2d10.1007_s10260-005-0109-7.html
   My bibliography  Save this article

Evaluating technical efficiency of human capital formation in the Italian university: Evidence from Florence

Author

Listed:
  • Guido Ferrari

    (Universitá di Firenze)

  • Tiziana Laureti

    (Universitá della Tuscia - Viterbo)

Abstract

. This paper models the human capital formation in the Italian university and utilizes a measure of technical efficiency to estimate the output-efficiency of human capital formation in the University of Florence, by using Data Envelopment Analysis (DEA) on a selected set of inputs and outputs. It uses the Program Evaluation (PE) procedure as well, in an attempt to attribute shares of the variation in efficiency to factors that are beyond the control and factors that are under the control of the graduates and faculties.

Suggested Citation

  • Guido Ferrari & Tiziana Laureti, 2005. "Evaluating technical efficiency of human capital formation in the Italian university: Evidence from Florence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(2), pages 243-270, November.
    • Handle: RePEc:spr:stmapp:v:14:y:2005:i:2:d:10.1007_s10260-005-0109-7
    DOI: 10.1007/s10260-005-0109-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10260-005-0109-7
    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/s10260-005-0109-7?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    2. Laureti, Tiziana & Secondi, Luca & Biggeri, Luigi, 2014. "Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach," Economics of Education Review, Elsevier, vol. 42(C), pages 147-164.
    3. Livio Ferrante & Simona Monteleone & Francesco Reito, 2017. "Universities as nail factories? An evaluation of the Italian public funding of higher education," Economics Bulletin, AccessEcon, vol. 37(3), pages 1490-1495.
    4. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2011. "Efficiency of European public higher education institutions: a two-stage multicountry approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 887-917, December.
    5. Lena Malesevic Perovic & Maja Mihaljevic Kosor, 2020. "The Efficiency of Universities in Achieving Sustainable Development Goals," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(54), pages 516-516, April.
    6. Tiziana Laureti, 2008. "Modelling Exogenous Variables in Human Capital Formation through a Heteroscedastic Stochastic Frontier," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 76-89, February.
    7. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2018. "Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model," Journal of Informetrics, Elsevier, vol. 12(1), pages 10-30.
    8. repec:kap:iaecre:v:14:y:2008:i:1:p:76-89 is not listed on IDEAS
    9. Zoghbi, Ana Carolina & Rocha, Fabiana & Mattos, Enlinson, 2013. "Education production efficiency: Evidence from Brazilian universities," Economic Modelling, Elsevier, vol. 31(C), pages 94-103.
    10. Sarbjeet Kaur & Gurcharan Singh, 2020. "Financial Comparative Analysis of State Public Universities of Punjab," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 140-144.
    11. Zotti, Roberto & Barra, Cristian, 2014. "How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach," MPRA Paper 54011, University Library of Munich, Germany.
    12. Shamohammadi, Mehdi & Oh, Dong-hyun, 2019. "Measuring the efficiency changes of private universities of Korea: A two-stage network data envelopment analysis," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

    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:stmapp:v:14:y:2005:i:2:d:10.1007_s10260-005-0109-7. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.