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Productivity development of Norwegian institutions of higher education 2004–2013

Author

Listed:
  • Dag Fjeld Edvardsen

    (Catenda AS)

  • Finn R. Førsund

    (University of Oslo
    Frisch Centre)

  • Sverre A. C. Kittelsen

    (Frisch Centre)

Abstract

Productivity growth of institutions of higher education is of interest for two main reasons: education is an important factor for productivity growth of the economy, and in countries where higher education is funded by the public sector, accountability of resource use is of key interest. Educational services consist of teaching, research and the “third mission” of dissemination of knowledge to the society at large. A bootstrapped Malmquist productivity change index is used to calculate productivity development for Norwegian institutions of higher education over the 10-year period 2004–2013. The confidence intervals from bootstrapping allow part of the uncertainty of point estimates stemming from sample variation to be revealed. The main result is that the majority of institutions have had a positive productivity growth over the total period. However, when comparing with growth in labour input, the impact on productivity varies a lot.

Suggested Citation

  • Dag Fjeld Edvardsen & Finn R. Førsund & Sverre A. C. Kittelsen, 2017. "Productivity development of Norwegian institutions of higher education 2004–2013," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 399-415, April.
    • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:4:d:10.1057_s41274-017-0183-x
    DOI: 10.1057/s41274-017-0183-x
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    Cited by:

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    2. 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.
    3. Omphile Temoso & Lindikaya W. Myeki, 2023. "Estimating South African Higher Education Productivity and Its Determinants Using Färe-Primont Index: Are Historically Disadvantaged Universities Catching Up?," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(2), pages 206-227, March.
    4. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    5. Katerina Guba & Mikhail Sokolov & Angelika Tsivinskaya, 2020. "Fictitious Efficiency: What the Russian Survey of Performance of Higher Education Institutions Actually Assessed," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 97-125.
    6. Губа К. С. & Соколов М. М. & Цивинская А. О., 2020. "Фиктивная Эффективность: Что На Самом Деле Оценивал Мониторинг Эффективности Образовательных Организаций," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 97-125.

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    More about this item

    Keywords

    institutions of higher education; Farrell efficiency measures; Malmquist productivity index; bootstrapping;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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