IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v81y2022ics0038012119305166.html
   My bibliography  Save this article

Performance and efficiency in Indian universities

Author

Listed:
  • Johnes, Geraint
  • Johnes, Jill
  • Virmani, Swati

Abstract

While the evaluation of university efficiency has become commonplace in developed countries, exercises of this kind have rarely been conducted in the context of developing economies. We use frontier methods to analyse the determinants of costs in higher education institutions in India. Results obtained using the standard stochastic frontier model are compared with those from a latent class cost frontier model. Average incremental costs, returns to scale, and returns to scope are evaluated. Despite the relatively small size of average institution, we find that economies of scale are largely exhausted. The implications of various models for the evaluation of institution-level measures of efficiency are highlighted. The results differ in a number of respects from those obtained in more developed countries. Implications of the analysis for policy and practice are highlighted.

Suggested Citation

  • Johnes, Geraint & Johnes, Jill & Virmani, Swati, 2022. "Performance and efficiency in Indian universities," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:soceps:v:81:y:2022:i:c:s0038012119305166
    DOI: 10.1016/j.seps.2020.100834
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012119305166
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2020.100834?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Johnes, Jill, 1996. "Performance assessment in higher education in Britain," European Journal of Operational Research, Elsevier, vol. 89(1), pages 18-33, February.
    3. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 2, pages 89-200, Elsevier.
    4. Baumol, William J, 1982. "Contestable Markets: An Uprising in the Theory of Industry Structure," American Economic Review, American Economic Association, vol. 72(1), pages 1-15, March.
    5. Antreas Athanassopoulos & Estelle Shale, 1997. "Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 117-134.
    6. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    7. Hanushek, Eric A. & Link, Susanne & Woessmann, Ludger, 2013. "Does school autonomy make sense everywhere? Panel estimates from PISA," Journal of Development Economics, Elsevier, vol. 104(C), pages 212-232.
    8. Geraint Johnes & Jill Johnes, 2016. "Costs, efficiency, and economies of scale and scope in the English higher education sector," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 32(4), pages 596-614.
    9. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    10. Liang-Cheng Zhang & Andrew C. Worthington, 2018. "Explaining Estimated Economies of Scale and Scope in Higher Education: A Meta-Regression Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(2), pages 156-173, March.
    11. Verry, D W & Layard, P R G, 1975. "Cost Functions for University Teaching and Research," Economic Journal, Royal Economic Society, vol. 85(337), pages 55-74, March.
    12. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    13. Johnes, Geraint & Johnes, Jill, 2009. "Higher education institutions' costs and efficiency: Taking the decomposition a further step," Economics of Education Review, Elsevier, vol. 28(1), pages 107-113, February.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. Cohn, Elchanan & Rhine, Sherrie L W & Santos, Maria C, 1989. "Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 284-290, May.
    16. Beasley, J. E., 1990. "Comparing university departments," Omega, Elsevier, vol. 18(2), pages 171-183.
    17. Tyagi, Preeti & Yadav, Shiv Prasad & Singh, S.P., 2009. "Relative performance of academic departments using DEA with sensitivity analysis," Evaluation and Program Planning, Elsevier, vol. 32(2), pages 168-177, May.
    18. Tommaso Agasisti & Geraint Johnes, 2010. "Heterogeneity and the evaluation of efficiency: the case of Italian universities," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1365-1375.
    19. Jill Johnes & Jim Taylor & Brian Francis, 1993. "The Research Performance of UK Universities: A Statistical Analysis of the Results of the 1989 Research Selectivity Exercise," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(2), pages 271-286, March.
    20. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    21. Longlong, Hou & Fengliang, Li & Weifang, Min, 2009. "Multi-product total cost functions for higher education: The case of Chinese research universities," Economics of Education Review, Elsevier, vol. 28(4), pages 505-511, August.
    22. McMahon, Walter W., 1998. "Education and Growth in East Asia," Economics of Education Review, Elsevier, vol. 17(2), pages 159-172, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    2. 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.
    3. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    4. Agasisti, Tommaso & Barra, Cristian & Zotti, Roberto, 2016. "Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 47-58.
    5. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    6. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    7. Tommaso Agasisti & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: An Overview of Methodological Approaches," JRC Research Reports JRC106681, Joint Research Centre.
    8. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    9. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2010. "An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency," EERI Research Paper Series EERI_RP_2010_17, Economics and Econometrics Research Institute (EERI), Brussels.
    10. Liang-Cheng Zhang & Andrew C. Worthington, 2018. "Explaining Estimated Economies of Scale and Scope in Higher Education: A Meta-Regression Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(2), pages 156-173, March.
    11. Tommaso Agasisti & Ralph Hippe & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: empirical analyses in Europe," JRC Research Reports JRC106678, Joint Research Centre.
    12. T Agasisti & G Johnes, 2009. "Cost Structure, Efficiency and Heterogeneity in US Higher Education: An Empirical Analysis," Working Papers 599308, Lancaster University Management School, Economics Department.
    13. Calogero Guccio & Marco Ferdinando Martorana & Luisa Monaco, 2016. "Evaluating the impact of the Bologna Process on the efficiency convergence of Italian universities: a non-parametric frontier approach," Journal of Productivity Analysis, Springer, vol. 45(3), pages 275-298, June.
    14. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    15. Geraint Johnes & Astrid Schwarzenberger, 2011. "Differences in cost structure and the evaluation of efficiency: the case of German universities," Education Economics, Taylor & Francis Journals, vol. 19(5), pages 487-499, January.
    16. Mishra, Neelesh Kumar & Chakraborty, Abhishek & Singh, Sanjeet & Ranjan, Prabhat, 2023. "Efficiency analysis of engineering colleges in India: Decomposition into parallel sub-processes systems," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    17. Geraint Johnes & Ana S. Camanho & Maria S. Portela, 2008. "Assessing Efficiency Of Portuguese Universities Through Parametric And Non-Parametric Methods," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(1), pages 39-66.
    18. Heinz Ahn & Marcel Clermont & Julia Langner, 2022. "The impact of selected input and output factors on measuring research efficiency of university research fields: insights from a purpose-, field-, and method-specific perspective," Journal of Business Economics, Springer, vol. 92(8), pages 1303-1335, October.
    19. Marvin A. Titus & Adriana Vamosiu & Shannon Hayes Buenaflor & Casey Maliszewski Lukszo, 2021. "Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1168-1197, December.
    20. Wang, Derek D., 2019. "Performance-based resource allocation for higher education institutions in China," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 66-75.

    More about this item

    Keywords

    Stochastic frontier; Latent class; Efficiency; Higher education; Development;
    All these keywords.

    JEL classification:

    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:81:y:2022:i:c:s0038012119305166. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.