IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v48y2016i38p3577-3604.html
   My bibliography  Save this article

Cost and learning efficiency drivers in Australian schools: a two-stage network DEA approach

Author

Listed:
  • Peter Wanke
  • Vincent Blackburn
  • Carlos Pestana Barros

Abstract

This article explore performance issues in Australian public schools, using a two-stage DEA network model, which accounts simultaneously for both cost and learning efficiency levels. In the cost efficiency stage, different types of expenses and investments are employed to support a given number of students, teachers and administrative staff. In the learning efficiency stage, these groups of individuals help to produce important outputs related to performance in student tests and school rankings. Results indicate that Australian public schools are heterogeneous. Policy implications are also discussed.

Suggested Citation

  • Peter Wanke & Vincent Blackburn & Carlos Pestana Barros, 2016. "Cost and learning efficiency drivers in Australian schools: a two-stage network DEA approach," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3577-3604, August.
    • Handle: RePEc:taf:applec:v:48:y:2016:i:38:p:3577-3604
    DOI: 10.1080/00036846.2016.1142656
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2016.1142656
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2016.1142656?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. Mergoni, Anna & Soncin, Mara & Agasisti, Tommaso, 2023. "The effect of ICT on schools’ efficiency: Empirical evidence on 23 European countries," Omega, Elsevier, vol. 119(C).
    2. Agasisti, Tommaso & de Oliveira Ribeiro, Celma & Montemor, Daniel Sanches, 2022. "The efficiency of Brazilian elementary public schools," International Journal of Educational Development, Elsevier, vol. 93(C).
    3. Kalyan Chakraborty & Richard K. Harper, 2017. "Measuring the Impact of Socio-Economic Factors on School Efficiency in Australia," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(2), pages 163-179, June.
    4. Ana B. Ruiz & Mariano Luque & Oscar D. Marcenaro-Gutierrez, 2022. "On the use of Synthetic Indexes Based on Multi-Criteria Decision Making to Study the Efficiency of Teachers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1269-1300, October.
    5. Nomita Pachar & Jyoti Dhingra Darbari & Kannan Govindan & P. C. Jha, 2022. "Sustainable performance measurement of Indian retail chain using two-stage network DEA," Annals of Operations Research, Springer, vol. 315(2), pages 1477-1515, August.
    6. Queiroz, Marcelo Victor Alves Bila & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2020. "Dynamic efficiency of primary education in Brazil: Socioeconomic and infrastructure influence on school performance," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    7. Wenwen Sun & Daisuke Murakami & Xin Hu & Zhuoran Li & Akari Nakai Kidd & Chunlu Liu, 2023. "Supply–Demand Imbalance in School Land: An Eigenvector Spatial Filtering Approach," Sustainability, MDPI, vol. 15(17), pages 1-14, August.
    8. Luque, Mariano & Marcenaro-Gutierrez, Oscar D. & Ruiz, Ana B., 2020. "Evaluating the global efficiency of teachers through a multi-criteria approach," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    9. Legenzova Renata & Gaigalienė Asta & Rudytė Dalia & Skunčikienė Solveiga & Kazlauskienė Vilma, 2023. "Assessment of public education expenditure efficiency across Lithuanian municipalities," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 19(4), pages 63-79, December.

    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:taf:applec:v:48:y:2016:i:38:p:3577-3604. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.