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The growth process of higher education institutions and public policies

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  • Vieira, Elizabeth S.
  • Lepori, Benedetto

Abstract

This paper investigates the growth over time of the size of higher education institutions (HEIs), as measured by the number of academic staff, and its association with HEI and country attributes. We analyze a sample of 837 HEIs from 18 countries derived from the European Tertiary Education Register (ETER) and from the European Micro Data dataset (EUMIDA) for the years 2008 and 2012. Our analysis shows that (1) HEIs growth is largely proportional to their size, leading to a nearly log-normal distribution of size (Gibrat's law), even if small institutions tend to grow faster; (2) the growth of the number of students and HEI's reputation level positively influences HEI growth. Consequently (3) small HEIs need a lower level of reputation and less growth of students to continue growing over time, while only highly reputed HEIs are able to maintain a large size over time. Our results are relevant to understand the extent to which cumulative effects lead to a lasting concentration of resources in the HE system and whether public policies are able to redistribute resources based on merit.

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  • Vieira, Elizabeth S. & Lepori, Benedetto, 2016. "The growth process of higher education institutions and public policies," Journal of Informetrics, Elsevier, vol. 10(1), pages 286-298.
    • Handle: RePEc:eee:infome:v:10:y:2016:i:1:p:286-298
    DOI: 10.1016/j.joi.2016.01.001
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    as
    1. Steele, Clint, 2008. "Use of the lognormal distribution for the coefficients of friction and wear," Reliability Engineering and System Safety, Elsevier, vol. 93(10), pages 1574-1576.
    2. Katz, J. Sylvan, 1999. "The self-similar science system1," Research Policy, Elsevier, vol. 28(5), pages 501-517, June.
    3. Auranen, Otto & Nieminen, Mika, 2010. "University research funding and publication performance--An international comparison," Research Policy, Elsevier, vol. 39(6), pages 822-834, July.
    4. Russell C. Coile, 1977. "Lotka's frequency distribution of scientific productivity," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 28(6), pages 366-370, November.
    5. Lokman I. Meho & Yvonne Rogers, 2008. "Citation counting, citation ranking, and h‐index of human‐computer interaction researchers: A comparison of Scopus and Web of Science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1711-1726, September.
    6. Norris, Michael & Oppenheim, Charles, 2007. "Comparing alternatives to the Web of Science for coverage of the social sciences’ literature," Journal of Informetrics, Elsevier, vol. 1(2), pages 161-169.
    7. Anthony F.J. van Raan, 2008. "Bibliometric statistical properties of the 100 largest European research universities: Prevalent scaling rules in the science system," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(3), pages 461-475, February.
    8. C. Gros & G. Kaczor & D. Marković, 2012. "Neuropsychological constraints to human data production on a global scale," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 85(1), pages 1-5, January.
    9. Anthony F.J. van Raan, 2006. "Statistical properties of bibliometric indicators: Research group indicator distributions and correlations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 408-430, February.
    10. D.B. Audretsch & L. Klomp & E. Santarelli & A.R. Thurik, 2004. "Gibrat's Law: Are the Services Different?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(3), pages 301-324, May.
    11. Becchetti, Leonardo & Trovato, Giovanni, 2002. "The Determinants of Growth for Small and Medium Sized Firms: The Role of the Availability of External Finance," Small Business Economics, Springer, vol. 19(4), pages 291-306, December.
    12. Vasiliki Plerou & Luís A. Nunes Amaral & Parameswaran Gopikrishnan & Martin Meyer & H. Eugene Stanley, 1999. "Similarities between the growth dynamics of university research and of competitive economic activities," Nature, Nature, vol. 400(6743), pages 433-437, July.
    13. Perc, Matjaž, 2010. "Zipf’s law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia’s research as an example," Journal of Informetrics, Elsevier, vol. 4(3), pages 358-364.
    14. J Sylvan Katz, 2000. "Scale-independent indicators and research evaluation," Science and Public Policy, Oxford University Press, vol. 27(1), pages 23-36, February.
    15. Okuyama, K & Takayasu, M & Takayasu, H, 1999. "Zipf's law in income distribution of companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 125-131.
    16. Mike Adams & Lars Fredrik Andersson & Philip Hardwick & Magnus Lindmark, 2014. "Firm size and growth in Sweden's life insurance market between 1855 and 1947: A test of Gibrat's law," Business History, Taylor & Francis Journals, vol. 56(6), pages 956-974, September.
    17. Rafael González-Val & Luis Lanaspa & Fernando Sanz-Gracia, 2014. "New Evidence on Gibrat’s Law for Cities," Urban Studies, Urban Studies Journal Limited, vol. 51(1), pages 93-115, January.
    18. Peter van den Besselaar & Loet Leydesdorff, 2009. "Past performance, peer review and project selection: a case study in the social and behavioral sciences," Research Evaluation, Oxford University Press, vol. 18(4), pages 273-288, October.
    19. González-Val, Rafael & Lanaspa, Luis & Sanz-Gracia, Fernando, 2013. "Gibrat’s law for cities, growth regressions and sample size," Economics Letters, Elsevier, vol. 118(2), pages 367-369.
    20. Marcelo Resende, 2004. "Gibrat's Law and the Growth of Cities in Brazil: A Panel Data Investigation," Urban Studies, Urban Studies Journal Limited, vol. 41(8), pages 1537-1549, July.
    21. Andrea Bonaccorsi & Cinzia Daraio, 2007. "Universities as Strategic Knowledge Creators: Some Preliminary Evidence," Chapters, in: Andrea Bonaccorsi & Cinzia Daraio (ed.), Universities and Strategic Knowledge Creation, chapter 2, Edward Elgar Publishing.
    22. Anthony F J van Raan, 2013. "Universities Scale Like Cities," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-14, March.
    23. Giovanni Abramo & Ciriaco Andrea D'Angelo, 2015. "The VQR, Italy's second national research assessment: Methodological failures and ranking distortions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2202-2214, November.
    24. Frank Havemann & Michael Heinz & Roland Wagner-Döbler, 2004. "Growth dynamics of German university enrolments and of scientific disciplines in the 19th century: Scaling behaviour under weak competitive pressure," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 283-294, August.
    25. Robert Lensink & Paul Steen & Elmer Sterken, 2005. "Uncertainty and Growth of the Firm," Small Business Economics, Springer, vol. 24(4), pages 381-391, May.
    26. Anthony F. J. van Raan, 2006. "Performance‐related differences of bibliometric statistical properties of research groups: Cumulative advantages and hierarchically layered networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(14), pages 1919-1935, December.
    27. Franz Strehl & Sabine Reisinger & Michael Kalatschan, 2007. "Funding Systems and their Effects on Higher Education Systems," OECD Education Working Papers 6, OECD Publishing.
    28. Hicks, Diana, 2012. "Performance-based university research funding systems," Research Policy, Elsevier, vol. 41(2), pages 251-261.
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