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The differentiation of the strategic profile of higher education institutions. New positioning indicators based on microdata

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  • Andrea Bonaccorsi

    (University of Pisa)

  • Cinzia Daraio

    (University of Pisa)

Abstract

We address the issue of differentiation of the profile of universities and offer a set of new indicators based on microdata at the individual level and the application of robust nonparametric efficiency measures. In particular, we use efficiency measures in order to characterize the way in which universities use their inputs (academic and non academic staff, funding) in the effort to position themselves in the space of output (undergraduate teaching, postgraduate education, fundamental research, contract research, third mission), while keeping efficiency under control. The strategic problem of universities is defined as making best use of existing resources in the short run, while enlarging the scope of autonomy in procuring additional resources in the long run. In order to make best use of resources universities are led to increase their specialization and differentiate their offering profile. This happens even if the European institutional landscape does not encourage universities to differentiate.

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  • Andrea Bonaccorsi & Cinzia Daraio, 2008. "The differentiation of the strategic profile of higher education institutions. New positioning indicators based on microdata," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 15-37, January.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:1:d:10.1007_s11192-008-0101-8
    DOI: 10.1007/s11192-008-0101-8
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    References listed on IDEAS

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    1. Gustavo Crespi, 2007. "The UK Knowledge Production Function," Chapters, in: Andrea Bonaccorsi & Cinzia Daraio (ed.), Universities and Strategic Knowledge Creation, chapter 9, Edward Elgar Publishing.
    2. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    3. Andrea Bonaccorsi & Cinzia Daraio & Benedetto Lepori & Stig Slipersæter, 2007. "Indicators on individual higher education institutions: addressing data problems and comparability issues," Research Evaluation, Oxford University Press, vol. 16(2), pages 66-78, June.
    4. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    5. Andrea Bonaccorsi, 2007. "Explaining poor performance of European science: Institutions versus policies," Science and Public Policy, Oxford University Press, vol. 34(5), pages 303-316, June.
    6. Benedetto Lepori & Martin Benninghoff & Ben Jongbloed & Carlo Salerno & Stig Slipersaeter, 2007. "Changing Models and Patterns of Higher Education Funding: Some Empirical Evidence," Chapters, in: Andrea Bonaccorsi & Cinzia Daraio (ed.), Universities and Strategic Knowledge Creation, chapter 3, Edward Elgar Publishing.
    7. Andrea Bonaccorsi & Cinzia Daraio, 2007. "Theoretical Perspectives on University Strategy," Chapters, in: Andrea Bonaccorsi & Cinzia Daraio (ed.), Universities and Strategic Knowledge Creation, chapter 1, Edward Elgar Publishing.
    8. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    9. Ehrenberg, R.G.Ronald G., 2004. "Econometric studies of higher education," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 19-37.
    10. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
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    Cited by:

    1. George Emm Halkos & Nickolaos G. Tzeremes, 2011. "Measuring economic journals’ citation efficiency: a data envelopment analysis approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 979-1001, September.
    2. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    3. De Witte, Kristof & Mika, Kortelainen, 2009. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete exogenous variables," MPRA Paper 14034, University Library of Munich, Germany.
    4. Federica Rossi & Ainurul Rosli, 2013. "Indicators of university-industry knowledge transfer performance and their implications for universities: Evidence from the UK’s HE-BCI survey," Working Papers 13, Birkbeck Centre for Innovation Management Research, revised Aug 2013.
    5. Zofio, Jose Luis & Aparicio, Juan & Barbero, Javier & Zabala-Iturriagagoitia, Jon Mikel, 2024. "Benchmarking performance through efficiency analysis trees: Improvement strategies for colombian higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    6. Lee, Chi-Chuan & Huang, Tai-Hsin, 2017. "Cost efficiency and technological gap in Western European banks: A stochastic metafrontier analysis," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 161-178.
    7. Eline Sneyers & Kristof De Witte, 2017. "The interaction between dropout, graduation rates and quality ratings in universities," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 416-430, April.
    8. Rossi, Federica & Sengupta, Abhijit, 2022. "Implementing strategic changes in universities’ knowledge exchange profiles: The role and nature of managerial interventions," Journal of Business Research, Elsevier, vol. 144(C), pages 874-887.
    9. Compagnucci, Lorenzo & Spigarelli, Francesca, 2020. "The Third Mission of the university: A systematic literature review on potentials and constraints," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    10. Andrea Bonaccorsi & Cinzia Daraio, 2014. "Beyond university rankings ? Generating new indicators on European universities by linking data in open platforms," DIAG Technical Reports 2014-12, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

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