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

Eval Program Plann. 2020 Aug;81:101821. doi: 10.1016/j.evalprogplan.2020.101821. Epub 2020 May 26.

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.

Keywords: Data envelopment analysis; Efficiency; Enrollment quota; Higher education; Malmquist productivity index; Resource allocation.