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Frontier Efficiency Analysis in Higher Education

In: Incentives and Performance

Author

Listed:
  • Stefano Nigsch

    (University of Zurich)

  • Andrea Schenker-Wicki

    (University of Zurich)

Abstract

Over the last 20–30 years, many European governments have implemented reforms to improve the efficiency and competitiveness of their national higher education and research systems. They have granted universities more autonomy while introducing new accountability tools and fostering competition through performance-based funding schemes. The growing emphasis on productivity and efficiency has led to the diffusion of a variety of performance indicators, including publication and citation counts, and university rankings. Another approach increasingly applied in the higher education sector is frontier efficiency analysis. Similarly to university rankings, efficiency analyses include several indicators for research and teaching in order to assess the performance of a university or a university department. However, as opposed to most rankings, they relate the outputs to the inputs used and do not necessarily favor larger or richer institutions. Moreover, estimation techniques such as Data Envelopment Analysis (DEA) do not require any assumption about the form of the production function and allow for different factor combinations to achieve efficiency. The method thus accounts for the diversity among universities and does not necessarily penalize more teaching-oriented institutions as compared to research-oriented ones. In this contribution we present the frontier efficiency approach and its application to higher education, highlighting the main estimation techniques and methodological specifications. We provide an overview of studies that have applied DEA to the higher education sector and discuss their results, methodological contributions, and shortcomings. We conclude by identifying the advantages and limitations of frontier efficiency approaches as compared to other performance measures in higher education and delineating possible areas for further research.

Suggested Citation

  • Stefano Nigsch & Andrea Schenker-Wicki, 2015. "Frontier Efficiency Analysis in Higher Education," Springer Books, in: Isabell M. Welpe & Jutta Wollersheim & Stefanie Ringelhan & Margit Osterloh (ed.), Incentives and Performance, edition 127, pages 155-170, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-09785-5_10
    DOI: 10.1007/978-3-319-09785-5_10
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    Citations

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    Cited by:

    1. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    2. Daraio, Cinzia & Simar, Léopold & Wilson, Paul W., 2021. "Quality as a latent heterogeneity factor in the efficiency of universities," Economic Modelling, Elsevier, vol. 99(C).
    3. Yamin Du & Wonchul Seo, 2022. "A Comparative Study on the Efficiency of R&D Activities of Universities in China by Region Using DEA–Malmquist," Sustainability, MDPI, vol. 14(16), pages 1-13, August.
    4. Cook, Wade D. & Ramón, Nuria & Ruiz, José L. & Sirvent, Inmaculada & Zhu, Joe, 2019. "DEA-based benchmarking for performance evaluation in pay-for-performance incentive plans," Omega, Elsevier, vol. 84(C), pages 45-54.

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