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Efficiency analysis of research universities in Turkey

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  • Mammadov, Rza
  • Aypay, Ahmet

Abstract

Research universities have emerged as a basic asset in international local institutions that contribute to the knowledge and socio-economic development of countries. Research universities in Turkey were established in national policies in 2017. This study aims to investigate the efficiency of ten research universities and five candidate research universities by the Council of Higher Education (CHE). The paper further aims at determining the factors that influence the efficiency of these universities on the basis of 2017 input and output data. As input variables, the number of faculty members per program and the number of scientific research projects were used in the efficiency analysis. As output variables, the ratio of the citation per publication in 2017 in Web of Science (WoS), the ratio of the research project income to the total appropriations, and the ratio of the PhD graduates to the number of PhD programs were used. Surprisingly, the number of scientific research projects in the major field of study negatively influences the efficiency scores of research universities. Instead of centralized management and output-oriented evaluation, university-based regulations must be identified, and process-oriented measures should be taken. The rate of citations per publication and the rate of PhD graduates per PhD program affect the efficacy scores positively. Because research as the main indicator of universities is well established, directing academics to scientific studies instead of course load is likely to increase the efficiency of research universities. Finally, focusing on doctoral education in terms of internationalization is likely to increase the scientific studies of universities and their quality development of research universities.

Suggested Citation

  • Mammadov, Rza & Aypay, Ahmet, 2020. "Efficiency analysis of research universities in Turkey," International Journal of Educational Development, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:injoed:v:75:y:2020:i:c:s073805931930690x
    DOI: 10.1016/j.ijedudev.2020.102176
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, April.
    2. Philip G. Altbach & Jamil Salmi, 2011. "The Road to Academic Excellence : The Making of World-Class Research Universities [El camino hacia la excelencia académica : la constitución de universidades de investigación de rango mundial]," World Bank Publications - Books, The World Bank Group, number 2357.
    3. Jamil Salmi, 2009. "The Challenge of Establishing World-Class Universities," World Bank Publications - Books, The World Bank Group, number 2600.
    4. AT Flegg & DO Allen & K Field & TW Thurlow, 2003. "Measuring the Efficiency and Productivity of British Universities: An Application of DEA and the Malmquist Approach," Working Papers 0304, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    5. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    6. Dodson, Marvin E., 2001. "Welfare generosity and location choices among new United States immigrants," International Review of Law and Economics, Elsevier, vol. 21(1), pages 47-67, March.
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    Cited by:

    1. Carolyn‐Thi Thanh Dung Tran & Brian Dollery & Subba Reddy Yarram, 2023. "The Influence of Administrative Intensity on Efficiency: An Empirical Analysis of Australian Universities," Economic Papers, The Economic Society of Australia, vol. 42(3), pages 282-305, September.
    2. Barbara S. Lancho-Barrantes & Francisco J. Cantu-Ortiz, 2021. "Quantifying the publication preferences of leading research universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2269-2310, March.
    3. 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.
    4. Salas-Velasco, Manuel, 2024. "Evaluation of undergraduate academic programs through data envelopment analysis and time-to-degree estimates at Spanish public universities," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    5. Frank Daumann & Florian Follert & Alfred Wassermann, 2023. "The Road to Hell Is Paved with Good Intentions: Modeling Grant Competition between Universities," Economies, MDPI, vol. 11(3), pages 1-13, March.

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