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Cost efficiency analysis of public higher education institutions in Uzbekistan

Author

Listed:
  • Shukhrat Kholmuminov

    (Banking and Finance Academy of the Republic of Uzbekistan)

  • Robert E Wright

    (Department of Economics, University of Strathclyde)

Abstract

Over the last decade, the revenue structure of public higher education institutions (HEIs) in Uzbekistan has changed from full government funding to mostly tuition funding. In this paper, a stochastic cost frontier analysis is used in order to examine whether the institutional financial resources obtained mostly from tuition revenue have been utilised efficiently or inefficiently at 58 public HEIs during the period of 2000 to 2013. The Battese and Coelli (1995) method is applied to measure the influences of institution, staff and student characteristics on cost efficiency of the universities. According to mean efficiency scores, the Uzbek universities are not remarkably cost efficient in producing education and research outputs, although the significant improvements in the efficiency followed throughout the sample period. Findings also reveal that HEIs with a greater share of government allocations are less cost efficient relative to those institutions with a smaller share of government allocations.

Suggested Citation

  • Shukhrat Kholmuminov & Robert E Wright, 2017. "Cost efficiency analysis of public higher education institutions in Uzbekistan," Working Papers 1704, University of Strathclyde Business School, Department of Economics.
    • Handle: RePEc:str:wpaper:1704
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    References listed on IDEAS

    as
    1. Philip Andrew Stevens, 2005. "A Stochastic Frontier Analysis of English and Welsh Universities," Education Economics, Taylor & Francis Journals, vol. 13(4), pages 355-374.
    2. Barr, Nicholas, 2009. "Financing higher education: lessons from economic theory and reform in England," LSE Research Online Documents on Economics 30873, London School of Economics and Political Science, LSE Library.
    3. 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.
    4. G. Sav, 2012. "Stochastic Cost Frontier and Inefficiency Estimates of Public and Private Universities: Does Government Matter?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(2), pages 187-198, May.
    5. Gerhard Kempkes & Carsten Pohl, 2010. "The efficiency of German universities-some evidence from nonparametric and parametric methods," Applied Economics, Taylor & Francis Journals, vol. 42(16), pages 2063-2079.
    6. Izadi, Hooshang & Johnes, Geraint & Oskrochi, Reza & Crouchley, Robert, 2002. "Stochastic frontier estimation of a CES cost function: the case of higher education in Britain," Economics of Education Review, Elsevier, vol. 21(1), pages 63-71, February.
    7. 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.
    8. 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.
    9. Dundar, Halil & Lewis, Darrell R., 1995. "Departmental productivity in American universities: Economies of scale and scope," Economics of Education Review, Elsevier, vol. 14(2), pages 119-144, June.
    10. 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.
    11. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    12. 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.
    13. Johnstone, D. Bruce, 2004. "The economics and politics of cost sharing in higher education: comparative perspectives," Economics of Education Review, Elsevier, vol. 23(4), pages 403-410, August.
    14. Kuo, Jenn-Shyong & Ho, Yi-Cheng, 2008. "The cost efficiency impact of the university operation fund on public universities in Taiwan," Economics of Education Review, Elsevier, vol. 27(5), pages 603-612, October.
    15. John Robst, 2001. "Cost Efficiency in Public Higher Education Institutions," The Journal of Higher Education, Taylor & Francis Journals, vol. 72(6), pages 730-750, November.
    16. Koshal, Rajindar K. & Koshal, Manjulika, 1999. "Economies of scale and scope in higher education: a case of comprehensive universities," Economics of Education Review, Elsevier, vol. 18(2), pages 269-277, April.
    17. Horne, Jocelyn & Hu, Baiding, 2008. "Estimation of cost efficiency of Australian universities," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 266-275.
    18. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    19. Melville McMillan & Wing Chan, 2006. "University Efficiency: A Comparison and Consolidation of Results from Stochastic and Non-stochastic Methods," Education Economics, Taylor & Francis Journals, vol. 14(1), pages 1-30.
    20. Tommaso Agasisti, 2016. "Cost structure, productivity and efficiency of the Italian public higher education industry 2001--2011," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 48-68, January.
    21. Daghbashyan, Zara, 2011. "The Economic Efficiency of Swedish Higher Education Institutions," Working Paper Series in Economics and Institutions of Innovation 245, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 17 Dec 2012.
    22. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    23. Erkoc, Taptuk Emre, 2013. "Estimating Economic Efficiencies of Public Sector Organisations with Stochastic Frontier Analysis: Evidence from Turkish Higher Education," MPRA Paper 54101, University Library of Munich, Germany.
    24. 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.
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    More about this item

    Keywords

    stochastic frontier; cost efficiency; higher education; Uzbekistan;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • P20 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - General

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