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Estimating South African Higher Education Productivity and Its Determinants Using Färe-Primont Index: Are Historically Disadvantaged Universities Catching Up?

Author

Listed:
  • Omphile Temoso

    (University of New England)

  • Lindikaya W. Myeki

    (University of Free State)

Abstract

Recent high dropout and low graduation rates in the South African higher education institutions as well as government funding cuts and the economic uncertainty due to COVID-19 pandemic have heightened the urgency for the higher education sector to improve its productivity. However, empirical evidence on the productivity growth of the sector remains unexplored. To address this gap, we applied a Färe-Primont index approach to a panel data of 22 public universities over an 8-year period to measure total factor productivity (TFP) and its components—technological change, technical, scale and mix efficiency changes. We also used a feasible generalised least squares model to assess the determinants of productivity and efficiency growth. The results show that the average TFP of the sector for the study period was 0.631, led by historically advantaged universities (0.894), whilst historically disadvantaged universities had lower average TFP (0.823). During the period, TFP increased by 3.43%, largely driven by scale and mix efficiency changes (5.32%) and technical efficiency change (0.83%), whilst technical change declined by 1.80%. In terms of university types, the comprehensive universities achieved the largest TFP growth (6.13%) followed by traditional universities (4.85%), and technology universities by 1.41%. TFP growth was positively influenced by student graduation rates, quality of academics and academic-student ratios. Therefore, policy considerations to improve the sector’s productivity and efficiency should consider investment on research and development, adoption of teaching and research innovations, re-skilling through training and education and aligning admission policies with staffing.

Suggested Citation

  • Omphile Temoso & Lindikaya W. Myeki, 2023. "Estimating South African Higher Education Productivity and Its Determinants Using Färe-Primont Index: Are Historically Disadvantaged Universities Catching Up?," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(2), pages 206-227, March.
    • Handle: RePEc:spr:reihed:v:64:y:2023:i:2:d:10.1007_s11162-022-09699-3
    DOI: 10.1007/s11162-022-09699-3
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    1. J. Glass & Donal McKillop & Gary O'Rourke, 1998. "A Cost Indirect Evaluation of Productivity Change in UK Universities," Journal of Productivity Analysis, Springer, vol. 10(2), pages 153-175, October.
    2. Malcolm Abbott & Chris Doucouliagos, 2009. "Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities," Education Economics, Taylor & Francis Journals, vol. 17(1), pages 31-57.
    3. Vincent Blackburn & Shae Brennan & John Ruggiero, 2014. "Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4899-7469-3, April.
    4. Worthington, Andrew C. & Lee, Boon L., 2008. "Efficiency, technology and productivity change in Australian universities, 1998-2003," Economics of Education Review, Elsevier, vol. 27(3), pages 285-298, June.
    5. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    6. Kao, Chiang & Hung, Hsi-Tai, 2008. "Efficiency analysis of university departments: An empirical study," Omega, Elsevier, vol. 36(4), pages 653-664, August.
    7. Tommaso Agasisti & Carlo Salerno, 2007. "Assessing the Cost Efficiency of Italian Universities," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 455-471.
    8. G. Thomas Sav, 2012. "Stochastic Cost Inefficiency Estimates and Rankings of Public and Private Research and Doctoral Granting Universities," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(3), pages 1-13, June.
    9. Temoso, Omphile & Villano, Renato & Hadley, David, 2015. "Agricultural productivity, efficiency and growth in a semi-arid country: a case study of Botswana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 10(3), pages 1-15, September.
    10. Vincent Blackburn & Shae Brennan & John Ruggiero, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis, edition 127, chapter 0, pages 11-49, Springer.
    11. Silvia Cantele & Andrea Guerrini & Bettina Campedelli, 2016. "Efficiency of Italian universities: the effect of controllable and non-controllable environmental and operational variables," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 12(3/4/5/6), pages 243-260.
    12. De Fraja, Gianni & Valbonesi, Paola, 2012. "The design of the university system," Journal of Public Economics, Elsevier, vol. 96(3), pages 317-330.
    13. Sanzidur Rahman & Ruhul Salim, 2013. "Six Decades of Total Factor Productivity Change and Sources of Growth in Bangladesh Agriculture (1948–2008)," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 275-294, June.
    14. Boon L. Lee, 2011. "Efficiency of Research Performance of Australian Universities: A Reappraisal using a Bootstrap Truncated Regression Approach," Economic Analysis and Policy, Elsevier, vol. 41(3), pages 195-204, December.
    15. Carolyn–Dung T. T. Tran & Renato A. Villano, 2017. "Input Rigidities and Performance of Vietnamese Universities," Asian Economic Journal, East Asian Economic Association, vol. 31(3), pages 253-273, September.
    16. Jill Johnes, 2008. "Efficiency And Productivity Change In The English Higher Education Sector From 1996/97 To 2004/5," Manchester School, University of Manchester, vol. 76(6), pages 653-674, December.
    17. Gerhard Kempkes & Carsten Pohl, 2008. "Do Institutions Matter for University Cost Efficiency? Evidence from Germany," CESifo Economic Studies, CESifo Group, vol. 54(2), pages 177-203.
    18. Dag Fjeld Edvardsen & Finn R. Førsund & Sverre A. C. Kittelsen, 2017. "Productivity development of Norwegian institutions of higher education 2004–2013," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 399-415, April.
    19. Tommaso Agasisti & Geraint Johnes, 2009. "Beyond frontiers: comparing the efficiency of higher education decision-making units across more than one country," Education Economics, Taylor & Francis Journals, vol. 17(1), pages 59-79.
    20. Wahyu Widodo & Ruhul Salim & Harry Bloch, 2014. "Agglomeration Economies and Productivity Growth in Manufacturing Industry: Empirical Evidence from Indonesia," The Economic Record, The Economic Society of Australia, vol. 90, pages 41-58, June.
    21. Gerhard Kempkes, 2008. "Do Institutions Matter for University Cost Efficiency? Evidence from Germany," CESifo Economic Studies, CESifo Group, vol. 54(2), pages 177-203, June.
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