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Performance Indicators in Higher Education: A Survey of Recent Work

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  • Johnes, Geraint

Abstract

This article surveys recent work on the construction of performance indicators in higher education, focusing particular attention on degree results, student wastage and research output. Performance indicators ought to provide measures of value added by the various institutions under review. As such crude measures of output, which fail to take account of input differences across institutions, are inappropriate. So it is necessary to investigate what factors underlie inter-institution differences in measured output, in order to correct for input variations in assessing overall performance. The absence of market prices for teaching and research outputs severely hinders the construction of composite measures of the performance of higher education institutions, since in their absence no objective weights can be assigned to the different roles of these institutions. The resource implications of performance measurement exercises need to be clarified if rankings exercises are to have the desired incentive effects. Copyright 1992 by Oxford University Press.

Suggested Citation

  • Johnes, Geraint, 1992. "Performance Indicators in Higher Education: A Survey of Recent Work," Oxford Review of Economic Policy, Oxford University Press, vol. 8(2), pages 19-34, Summer.
  • Handle: RePEc:oup:oxford:v:8:y:1992:i:2:p:19-34
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    Cited by:

    1. Neri, F., 2001. "Schooling Quality and Economic Growth," Economics Working Papers wp01-06, School of Economics, University of Wollongong, NSW, Australia.
    2. Coccia, Mario, 2008. "Measuring scientific performance of public research units for strategic change," Journal of Informetrics, Elsevier, vol. 2(3), pages 183-194.
    3. Yunker, James A., 2005. "The dubious utility of the value-added concept in higher education: the case of accounting," Economics of Education Review, Elsevier, vol. 24(3), pages 355-367, June.
    4. Andrea Bonaccorsi (ed.), 2014. "Knowledge, Diversity and Performance in European Higher Education," Books, Edward Elgar Publishing, number 15266.
    5. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    6. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September.
    7. Bouzouita, Anis & Vierstraete, Valérie & Kouki, Mokhtar, 2012. "L’évaluation de l’efficience des institutions d’enseignement supérieur en Tunisie : le cas des Instituts supérieurs des études technologiques (ISET)," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(3), pages 347-360, Septembre.
    8. Melville L. McMillan & Debasish Datta, 1998. "The Relative Efficiencies of Canadian Universities: A DEA Perspective," Canadian Public Policy, University of Toronto Press, vol. 24(4), pages 485-511, December.
    9. Antonelli Cristiano & Fassio Claudio, 2012. "Academic knowledge and economic growth: are scientific fields all alike," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201203, University of Turin.
    10. Alexander Eck & Sabine Gralka & Julia Sonnenburg, 2015. "Zur Effizienz der Hochschulen in den ost- und westdeutschen Flächenländern," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 22(02), pages 33-41, April.
    11. Geuna, Aldo, 1998. "Determinants of university participation in EU-funded R & D cooperative projects," Research Policy, Elsevier, vol. 26(6), pages 677-687, February.
    12. Colin Glass, J. & McCallion, Gillian & McKillop, Donal G. & Rasaratnam, Syamarlah & Stringer, Karl S., 2006. "Implications of variant efficiency measures for policy evaluations in UK higher education," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 119-142, June.
    13. Cristiano Antonelli & Chiara Franzoni & Aldo Geuna, 2011. "The Contributions of Economics to a Science of Science Policy," Chapters,in: Science and Innovation Policy for the New Knowledge Economy, chapter 1 Edward Elgar Publishing.
    14. Roberto Zotti, 2015. "Should I Stay Or Should I Go? Dropping Out From University: An Empirical Analysis Of Students’ Performances," Working Papers 70, AlmaLaurea Inter-University Consortium.
    15. Berde, Éva & Ványolós, István, 2006. "A felsőoktatási döntéshozatal szemetesláda-modellje
      [The waste model of decision-making in higher education]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 465-480.
    16. Ying Chu Ng & Sung Ko Li, 2000. "Measuring the Research Performance of Chinese Higher Education Institutions: An Application of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 8(2), pages 139-156.
    17. Barr, Nicholas, 1993. "Alternative funding resources for higher education," LSE Research Online Documents on Economics 280, London School of Economics and Political Science, LSE Library.

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