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Does Expansion Cause Congestion? The Case of the Older British Universities, 1994-2004

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  • A. T. Flegg
  • D. O. Allen

Abstract

This paper examines whether the rapid growth in the number of students in British universities in recent years has led to congestion, in the sense that certain universities' output could have been higher if this expansion had been less rapid. The focus of the paper is on 45 older universities that were in existence prior to 1992. The analysis covers the period 1994/95-2003/04. Several alternative methods of measuring congestion are examined and, to check the sensitivity of the results to different specifications, three alternative Data Envelopment Analysis models are formulated. The results indicate that congestion was present throughout the decade under review, and in a wide range of universities, but whether it rose or fell is uncertain as this depends on which congestion model is used. A crucial point here is whether one assumes constant or variable returns to scale. Nonetheless, all models point to a rise in congestion between 2001/02 and 2003/04, and this may well be a result of the rapid growth that occurred in this period. All models also record a sharp drop in mean technical efficiency in 2003/04. A possible explanation of the absence of a clear-cut trend in congestion is that the student:staff ratio in these universities was relatively stable in the decade under review, rising only gently from 2000/01 onwards.

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  • A. T. Flegg & D. O. Allen, 2007. "Does Expansion Cause Congestion? The Case of the Older British Universities, 1994-2004," Education Economics, Taylor & Francis Journals, vol. 15(1), pages 75-102.
  • Handle: RePEc:taf:edecon:v:15:y:2007:i:1:p:75-102
    DOI: 10.1080/09645290601133928
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    2. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    3. Yang, Zhuofan & Shi, Yong & Yan, Hong, 2017. "Analysis on pure e-commerce congestion effect, productivity effect and profitability in China," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 35-49.
    4. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    5. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    6. Mad Ithnin Salleh & Shariffah Nur Illiana Syed Ismail & Nurul Fadly Habidin & Nor Azrin Md Latip, 2016. "Efficiency and Productivity Changes of the Malaysian Community Colleges," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(12), pages 407-424, December.
    7. NG, Ying Chu & LI, Sung-ko, 2009. "Efficiency and productivity growth in Chinese universities during the post-reform period," China Economic Review, Elsevier, vol. 20(2), pages 183-192, June.
    8. Jill Johnes, 2014. "Efficiency and Mergers in English Higher Education 1996/97 to 2008/9: Parametric and Non-parametric Estimation of the Multi-input Multi-output Distance Function," Manchester School, University of Manchester, vol. 82(4), pages 465-487, July.
    9. Sung-hun Park & Joong Hoon Ko & Eun-song Bae & Meehyang Chang & Daecheol Kim, 2019. "The Impact of Hospital Specialization on Congestion and Efficiency," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    10. Tommaso Agasisti & Ekaterina Shibanova & Daria Platonova & Mikhail Lisyutkin, 2018. "The Russian Excellence Initiative For Higher Education: An Econometric Evaluation Of Short-Term Results," HSE Working papers WP BRP 201/EC/2018, National Research University Higher School of Economics.
    11. Vanesa D’Elia & Gustavo Ferro, 2019. "Empirical Efficiency Measurement in Higher Education: An Overview," CEMA Working Papers: Serie Documentos de Trabajo. 708, Universidad del CEMA.
    12. 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.
    13. Néstor Duch-Brown & Montserrat Vilalta, 2010. "Can better governance increase university efficiency?," Working Papers 2010/52, Institut d'Economia de Barcelona (IEB).
    14. Marcel Clermont, 2016. "Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1347-1381, September.
    15. Flegg, A.T. & Allen, D.O., 2009. "Congestion in the Chinese automobile and textile industries revisited," Socio-Economic Planning Sciences, Elsevier, vol. 43(3), pages 177-191, September.
    16. Ruiz, José L. & Segura, José V. & Sirvent, Inmaculada, 2015. "Benchmarking and target setting with expert preferences: An application to the evaluation of educational performance of Spanish universities," European Journal of Operational Research, Elsevier, vol. 242(2), pages 594-605.
    17. Sahoo, Biresh K. & Singh, Ramadhar & Mishra, Bineet & Sankaran, Krithiga, 2017. "Research productivity in management schools of India during 1968-2015: A directional benefit-of-doubt model analysis," Omega, Elsevier, vol. 66(PA), pages 118-139.
    18. Kao, Chiang, 2010. "Congestion measurement and elimination under the framework of data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 123(2), pages 257-265, February.
    19. Jun Wang & Yong Zha, 2014. "Distinguishing Technical Inefficiency from Desirable and Undesirable Congestion with an Application to Regional Industries in China," Sustainability, MDPI, vol. 6(12), pages 1-19, December.

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