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Cross-country analysis of higher education institutions’ efficiency: The role of strategic positioning

Author

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  • Tommaso Agasisti
  • Jasmina Berbegal-Mirabent

Abstract

Universities are highly heterogeneous institutions and this diversity needs to be acknowledged when assessing their performance. Using an unbalanced panel that covers a 3-year period (2011–3) with 761 observations coming from 307 universities located in 8 European countries, this study examines the extent to which strategic choices regarding international positioning and scope determine how efficient universities are in the allocation of their internal resources. Three main groups of universities are identified, according to their internationalisation and scope: world-class, flagship, and regional. Next, we model universities’ objective function as a mix of teaching, research, and third mission endeavours, and calculate efficiency scores. A meta-frontier analysis based on data envelopment analysis is used. This approach allows comparing efficiency frontiers across groups and relative to a common frontier. Policy implications within and between groups are discussed.

Suggested Citation

  • Tommaso Agasisti & Jasmina Berbegal-Mirabent, 2021. "Cross-country analysis of higher education institutions’ efficiency: The role of strategic positioning," Science and Public Policy, Oxford University Press, vol. 48(1), pages 66-79.
    • Handle: RePEc:oup:scippl:v:48:y:2021:i:1:p:66-79.
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    File URL: http://hdl.handle.net/10.1093/scipol/scaa058
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    Citations

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    Cited by:

    1. Liang Zhao & Lifei Xu & Ling Li & Jing Hu & Lin Mu, 2022. "Can Inbound Tourism Improve Regional Ecological Efficiency? An Empirical Analysis from China," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    2. 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).
    3. Bertoletti, Alice & Berbegal-Mirabent, Jasmina & Agasisti, Tommaso, 2022. "Higher education systems and regional economic development in Europe: A combined approach using econometric and machine learning methods," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    4. Rella, Angela & Rubino, Michele & Raimo, Nicola & Vitolla, Filippo, 2024. "Does the digitalization of municipalities affect the efficiency of universities? An Italian case study using DEA and Malmquist index approaches," Technology in Society, Elsevier, vol. 77(C).
    5. Jianwei Zhang & Heng Li & Guoxin Jiao & Jiayi Wang & Jingjing Li & Mengzhen Li & Haining Jiang, 2022. "Spatial Pattern of Technological Innovation in the Yangtze River Delta Region and Its Impact on Water Pollution," IJERPH, MDPI, vol. 19(12), pages 1-20, June.
    6. Min Qian & Zhenpeng Cheng & Zhengwen Wang & Dingyi Qi, 2022. "What Affects Rural Ecological Environment Governance Efficiency? Evidence from China," IJERPH, MDPI, vol. 19(10), pages 1-19, May.
    7. Juan Hu & Chengjin Ma & Chen Li, 2022. "Can Green Innovation Improve Regional Environmental Carrying Capacity? An Empirical Analysis from China," IJERPH, MDPI, vol. 19(20), pages 1-15, October.

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