IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p978-d1025766.html
   My bibliography  Save this article

The Evaluation of Comprehensive Teaching and Research Efficiency and Its Key Influencing Factors Analysis of “Double First-Class” Universities in China

Author

Listed:
  • Hongwei Li

    (College of Economics and Management, Shandong University of Science and Technology, Qingdao 266510, China)

  • Dongyang Ma

    (College of Economics and Management, Shandong University of Science and Technology, Qingdao 266510, China)

  • Wei Cui

    (School of Statistics, Jilin University of Finance and Economics, Changchun 130117, China)

  • Min Tao

    (College of Economics and Management, Shandong University of Science and Technology, Qingdao 266510, China)

  • Jiahui Zhang

    (Department of Materials, University of Manchester, Manchester M13 9PL, UK)

Abstract

An evaluation index system is established in order to evaluate the comprehensive teaching and research efficiency of “Double First-Class” universities in China, using the Joint Data Envelopment Analysis method. The influence of the parameters in the model is analyzed and the algorithmic steps are given. The key factors of the system are identified by the Grey Correlation Analysis method. The comprehensive teaching and research efficiency of “Double First-Class” Universities in China in 2019 has thereby been calculated as an empirical study. The results show that: (1) It is effective and feasible to construct an evaluation method based on joint DEA, for the evaluation of comprehensive teaching and research efficiency of “Double First-Class” Universities in China. (2) The key factors are the number of cited papers, the annual budget, and the salaries of graduates. Based on those factors, suggestions have been put forward to improve their efficiency. (3) The comprehensive teaching and research efficiency of China’s “Double First-Class” Universities are high, and the comparison between research efficiency and teaching efficiency shows that 69.2% of the “Double First-Class” Universities have higher research efficiency than teaching efficiency. Most of those universities allocate a higher proportion of shared input to research.

Suggested Citation

  • Hongwei Li & Dongyang Ma & Wei Cui & Min Tao & Jiahui Zhang, 2023. "The Evaluation of Comprehensive Teaching and Research Efficiency and Its Key Influencing Factors Analysis of “Double First-Class” Universities in China," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:978-:d:1025766
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/978/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/2/978/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Lutz Bornmann & Sabine Gralka & Félix de Moya Anegón & Klaus Wohlrabe, 2020. "Efficiency of Universities and Research-Focused Institutions Worldwide: An Empirical DEA Investigation Based on Institutional Publication Numbers and Estimated Academic Staff Numbers," CESifo Working Paper Series 8157, CESifo.
    3. Colin Glass, J. & McCallion, Gillian & McKillop, Donal G. & Rasaratnam, Syamarlah & Stringer, Karl S., 2006. "Implications of variant efficiency measures for policy evaluations in UK higher education," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 119-142, June.
    4. Sagarra, Marti & Mar-Molinero, Cecilio & Agasisti, Tommaso, 2017. "Exploring the efficiency of Mexican universities: Integrating Data Envelopment Analysis and Multidimensional Scaling," Omega, Elsevier, vol. 67(C), pages 123-133.
    5. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    6. Sourour Ramzi & Mohamed Ayadi, 2016. "Assessment of Universities Efficiency Using Data Envelopment Analysis: Weights Restrictions and Super-Efficiency Measure," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(1), pages 40-58, February.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    9. Marina Dobrota & Milica Bulajic & Lutz Bornmann & Veljko Jeremic, 2016. "A new approach to the QS university ranking using the composite I-distance indicator: Uncertainty and sensitivity analyses," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 200-211, January.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2018. "Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model," Journal of Informetrics, Elsevier, vol. 12(1), pages 10-30.
    2. Mishra, Neelesh Kumar & Chakraborty, Abhishek & Singh, Sanjeet & Ranjan, Prabhat, 2023. "Efficiency analysis of engineering colleges in India: Decomposition into parallel sub-processes systems," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    3. G. Thomas Sav, 2013. "Effects of Financial Source Dependency on Public University Operating Efficiencies: Data Envelopment Single-Stage and Tobit Two-Stage Evaluations," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 63-73, February.
    4. Bergantino, Angela Stefania & Capozza, Claudia & Porcelli, Francesco, 2015. "Hotelling competition and teaching efficiency of Italian university faculties. A semi-parametric analysis," MPRA Paper 62927, University Library of Munich, Germany.
    5. Shamohammadi, Mehdi & Oh, Dong-hyun, 2019. "Measuring the efficiency changes of private universities of Korea: A two-stage network data envelopment analysis," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    6. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    7. Torben Schubert & Guoliang Yang, 2016. "Institutional change and the optimal size of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1129-1153, September.
    8. 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.
    9. Yukun Shi & Duchun Wang & Zimeng Zhang, 2022. "Categorical Evaluation of Scientific Research Efficiency in Chinese Universities: Basic and Applied Research," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    10. Yang, Guoliang & Ahlgren, Per & Yang, Liying & Rousseau, Ronald & Ding, Jielan, 2016. "Using multi-level frontiers in DEA models to grade countries/territories," Journal of Informetrics, Elsevier, vol. 10(1), pages 238-253.
    11. Cossani, Gianfranco & Codoceo, Loreto & Cáceres, Hernán & Tabilo, Jorge, 2022. "Technical efficiency in Chile’s higher education system: A comparison of rankings and accreditation," Evaluation and Program Planning, Elsevier, vol. 92(C).
    12. 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.
    13. Rella, Angela & Rubino, Michele & Raimo, Nicola & Vitolla, Filippo, 2024. "Does the digitalization of municipalities affect the efficiency of universities? An Italian case study using DEA and Malmquist index approaches," Technology in Society, Elsevier, vol. 77(C).
    14. Sanjeet Singh & Prabhat Ranjan, 2018. "Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education," Annals of Operations Research, Springer, vol. 269(1), pages 641-666, October.
    15. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.
    16. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    17. Renato A. Villano & Carolyn‐Dung T. T. Tran, 2021. "Survey on technical efficiency in higher education: A meta‐fractional regression analysis," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 110-135, February.
    18. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    19. Navas, Lina P. & Montes, Felipe & Abolghasem, Sepideh & Salas, Ricardo J. & Toloo, Mehdi & Zarama, Roberto, 2020. "Colombian higher education institutions evaluation," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    20. Larrán-Jorge, Manuel & García-Correas, Ángel, 2015. "¿Influyen los modelos de financiación autonómicos en la eficiencia de las universidades públicas españolas?," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 162-173.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:978-:d:1025766. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.