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The dynamics of productivity in Swiss universities

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  • Thomas Bolli
  • Mehdi Farsi

Abstract

This paper analyzes the productivity of Swiss university departments between 1995 and 2012. Using a parametric input distance function we estimate and decompose the Malmquist productivity indexes in line with Fuentes et al. (J Product Anal 15:79–94, 2001 ) and Atkinson (J Bus Econ Stat 21:284–294, 2003 ). The adopted model is a mixed-effects model with department-specific fixed effects and random time trends. An autoregressive stochastic term is used to model inefficiency shocks with gradual dissipation by adaptation and learning. The results indicate a negative trend in Malmquist index starting from 2002, with an average rate of about 1 % per year. However, our analysis of scale effects indicates that this decline is more or less offset by universities’ constant expansion and the resulting economies of scale. The results point to various patterns of overall productivity change across scientific fields that are closely related to potential productivity gains due to scale economies. In contrast to some previous studies we do not find any significant relation between productivity development and the Bologna reform. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Thomas Bolli & Mehdi Farsi, 2015. "The dynamics of productivity in Swiss universities," Journal of Productivity Analysis, Springer, vol. 44(1), pages 21-38, August.
  • Handle: RePEc:kap:jproda:v:44:y:2015:i:1:p:21-38
    DOI: 10.1007/s11123-015-0450-2
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    Cited by:

    1. 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.
    2. 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.
    3. Jean-Marie Grether & Benjamin Tissot-Daguette, 2021. "Zoom in, zoom out: A shift-share analysis of productivity in Switzerland based on micro data," IRENE Working Papers 21-10, IRENE Institute of Economic Research.
    4. 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.

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    More about this item

    Keywords

    Parametric distance function; Malmquist index; Decomposition; Swiss universities; Bologna accords; C23; D24; I23; J24;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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