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How Do The Characteristics Of The Environment Influence University Efficiency? Evidence From A Conditional Efficiency Approach

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Listed:
  • Tommaso Agasisti

    (National Research University Higher School of Economics)

  • Aleksei Egorov

    (National Research University Higher School of Economics)

  • Pavel Serebrennikov

    (National Research University Higher School of Economics)

Abstract

This paper explores the black box behind efficiency measurements in higher education and defines the determinants of university efficiency. Particularly, it investigates how the efficiency of universities is affected by the characteristics of the territory in which they operate. We propose an analysis that combines two perspectives: 1) the resource dependence theory, suggesting that the location of university can determine the amount of resources available to it; 2) institutional isomorphism, according to which the characteristics of other higher education institutions located in the same area may shape the university production function and the efficiency of its operations. In order to test this framework we use the data on Russian universities and non-parametric conditional order-m efficiency estimator with two categories of exogenous variables. The first group includes the social, economic and cultural characteristics of the region where the university is located. The second set includes the characteristics of other higher educationinstitutions located in the same region. Our findings highlight that the managerial efficiency of universities is strongly associated with the characteristics of the environment in which they operate.

Suggested Citation

  • Tommaso Agasisti & Aleksei Egorov & Pavel Serebrennikov, 2020. "How Do The Characteristics Of The Environment Influence University Efficiency? Evidence From A Conditional Efficiency Approach," HSE Working papers WP BRP 238/EC/2020, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:238/ec/2020
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    References listed on IDEAS

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    1. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    2. Daria Zinchenko & Alexey Egorov, 2019. "Efficiency Modeling of Russian Universities," HSE Economic Journal, National Research University Higher School of Economics, vol. 23(1), pages 143-172.
    3. 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.
    4. Rothschild, Michael & White, Lawrence J, 1995. "The Analytics of the Pricing of Higher Education and Other Services in Which the Customers Are Inputs," Journal of Political Economy, University of Chicago Press, vol. 103(3), pages 573-586, June.
    5. Tommaso Agasisti & Carsten Pohl, 2012. "Comparing German and Italian Public Universities: Convergence or Divergence in the Higher Education Landscape?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 33, pages 71-85, March.
    6. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    7. Yu, Chunyan, 1998. "The effects of exogenous variables in efficiency measurement--A monte carlo study," European Journal of Operational Research, Elsevier, vol. 105(3), pages 569-580, March.
    8. Tommaso Agasisti & Aleksei Egorov & Daria Zinchenko & Oleg Leshukov, 2021. "Efficiency of regional higher education systems and regional economic short-run growth: empirical evidence from Russia," Industry and Innovation, Taylor & Francis Journals, vol. 28(4), pages 507-534, April.
    9. 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.
    10. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    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. 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.
    13. 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.
    14. Mei Xue & Patrick T. Harker, 1999. "Overcoming the Inherent Dependency of DEA Efficiency Scores: A Bootstrap Approach," Center for Financial Institutions Working Papers 99-17, Wharton School Center for Financial Institutions, University of Pennsylvania.
    15. Steve Bradley & Jill Johnes & Allan Little, 2010. "Measurement And Determinants Of Efficiency And Productivity In The Further Education Sector In England," Bulletin of Economic Research, Wiley Blackwell, vol. 62(1), pages 1-30, January.
    16. Kristof De Witte & Mika Kortelainen, 2013. "What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2401-2412, June.
    17. Caroline M. Hoxby, 2009. "The Changing Selectivity of American Colleges," Journal of Economic Perspectives, American Economic Association, vol. 23(4), pages 95-118, Fall.
    18. Haelermans, Carla & De Witte, Kristof, 2012. "The role of innovations in secondary school performance – Evidence from a conditional efficiency model," European Journal of Operational Research, Elsevier, vol. 223(2), pages 541-549.
    19. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2011. "Efficiency of European public higher education institutions: a two-stage multicountry approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 887-917, December.
    20. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    21. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    22. Constance E. Helfat & Margaret A. Peteraf, 2003. "The dynamic resource‐based view: capability lifecycles," Strategic Management Journal, Wiley Blackwell, vol. 24(10), pages 997-1010, October.
    23. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    24. Tommaso Agasisti & Ekaterina Abalmasova & Ekaterina Shibanova & Aleksei Egorov, 2019. "The Causal Impact Of Performance-Based Funding On University Performance: Quasi-Experimental Evidence From A Policy In Russian Higher Education," HSE Working papers WP BRP 221/EC/2019, National Research University Higher School of Economics.
    25. 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

    Universities; conditional eciency; order-m; DEA; exogenous variables.;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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