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Performance evaluation and enrollment quota allocation for higher education institutions in China

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  • Zhang, Ganggang
  • Wu, Jie
  • Zhu, Qingyuan

Abstract

Higher education has always played an important role in promoting economic and social progress. With the rapid development of economy, China's higher education has entered a new stage and made a series of extraordinary achievements. However, the uneven development of higher education has become a critical factor restricting China’s overall progress. In this paper, we propose Data Envelopment Analysis (DEA) approach to evaluate the performance of higher education resource utilization from the perspective of provincial level. In addition, we assess productivity changes of each province with the help of Malmquist Productivity Index (MPI). Further, by considering the enrollment quota as a special kind of resource, we construct a more reasonable allocation scheme, while keeping the total number of newly added enrollment quota unchanged in the next year. Finally, according to the results, some suggestions are put forward to help the Chinese government better solve the unbalanced development of higher education among provinces.

Suggested Citation

  • Zhang, Ganggang & Wu, Jie & Zhu, Qingyuan, 2020. "Performance evaluation and enrollment quota allocation for higher education institutions in China," Evaluation and Program Planning, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:epplan:v:81:y:2020:i:c:s0149718920301257
    DOI: 10.1016/j.evalprogplan.2020.101821
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    Cited by:

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    2. Shih-Pin Chen & Chung-Wei Chang, 2021. "Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5263-5284, June.
    3. 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).
    4. Xi Xiong & Guo-liang Yang & Kai-di Liu & De-qun Zhou, 2022. "A proposed fixed-sum carryovers reallocation DEA approach for social scientific resources of Chinese public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4097-4121, July.
    5. Borsi, Mihály Tamás & Valerio Mendoza, Octasiano Miguel & Comim, Flavio, 2022. "Measuring the provincial supply of higher education institutions in China," China Economic Review, Elsevier, vol. 71(C).
    6. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

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