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Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA

Author

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  • Zihong Liu

    (School of International Economics and Management, Beijing Technology and Business University, Beijing 100048, China)

  • Haitao Xiong

    (School of International Economics and Management, Beijing Technology and Business University, Beijing 100048, China)

  • Ying Sun

    (School of International Economics and Management, Beijing Technology and Business University, Beijing 100048, China)

Abstract

In recent years, the increasingly fierce competition among higher education institutions (HEIs), the finite resources, and the enormous influence of the COVID-19 epidemic on higher education have made it especially important to evaluate the performance of Chinese higher education institutions. This paper utilizes the DEA-BCC and Malmquist index to analyze the efficiency and productivity of 34 Chinese “985 Project” universities in the period 2017–2021. The indicator system includes three inputs and five outputs, contained in Model 1 and Model 2 for comparative analysis. The results demonstrate that the COVID-19 epidemic has had a considerable negative impact on Chinese higher education, and has induced the reduction of technical efficiency and productivity. Setting up online MOOCs is conducive to enhancing the efficiency and productivity of HEIs; in addition, the efficiency mentioned varies noticeably among different university levels, and there is no significant difference in different university types and geographical locations.

Suggested Citation

  • Zihong Liu & Haitao Xiong & Ying Sun, 2023. "Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5970-:d:1111279
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    References listed on IDEAS

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    1. Qingxian An & Zongrun Wang & Ali Emrouznejad & Qingyuan Zhu & Xiaohong Chen, 2019. "Efficiency evaluation of parallel interdependent processes systems: an application to Chinese 985 Project universities," International Journal of Production Research, Taylor & Francis Journals, vol. 57(17), pages 5387-5399, September.
    2. Contreras, I. & Lozano, S., 2020. "Allocating additional resources to public universities. A DEA bargaining approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    3. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    4. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2022. "Combining reference point based composite indicators with data envelopment analysis: application to the assessment of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4363-4395, August.
    5. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    6. 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.
    7. 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.
    8. Lee, Boon L. & Worthington, Andrew C., 2016. "A network DEA quantity and quality-orientated production model: An application to Australian university research services," Omega, Elsevier, vol. 60(C), pages 26-33.
    9. Tavares, Rafael Santos & Angulo-Meza, Lidia & Sant'Anna, Annibal Parracho, 2021. "A proposed multistage evaluation approach for Higher Education Institutions based on network Data envelopment analysis: A Brazilian experience," Evaluation and Program Planning, Elsevier, vol. 89(C).
    10. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    11. 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.
    12. 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.
    13. Andrews, Antony, 2022. "An application of PCA-DEA with the double-bootstrap approach to estimate the technical efficiency of New Zealand District Health Boards," Health Economics, Policy and Law, Cambridge University Press, vol. 17(2), pages 175-199, April.
    14. Jill Johnes, 2008. "Efficiency And Productivity Change In The English Higher Education Sector From 1996/97 To 2004/5," Manchester School, University of Manchester, vol. 76(6), pages 653-674, December.
    15. 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.
    16. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    17. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    18. Tommaso Agasisti & Aleksei Egorov & Margarita Maximova, 2021. "Do merger policies increase universities’ efficiency? Evidence from a fuzzy regression discontinuity design," Applied Economics, Taylor & Francis Journals, vol. 53(2), pages 185-204, January.
    19. Ma, Zhanxin & See, Kok Fong & Yu, Ming-Miin & Zhao, Chunying, 2021. "Research efficiency analysis of China's university faculty members: A modified meta-frontier DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    20. 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.
    21. 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.
    22. Awadh Pratap Singh & Shiv Prasad Yadav & Preeti Tyagi, 2022. "Performance assessment of higher educational institutions in India using data envelopment analysis and re-evaluation of NIRF Rankings," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 1024-1035, April.
    23. E Thanassoulis & M Kortelainen & G Johnes & J Johnes, 2011. "Costs and efficiency of higher education institutions in England: a DEA analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1282-1297, July.
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