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https://doi.org/10.62836/emi.v5i1.0003
Wu, T., & Liang, J. (2026). Dynamic Efficiency and Evolution Trends of Higher Education Resource Allocation in China: A DEA-Malmquist and Markov Chain Approach. Economics & Management Information, 5(1), 0003. https://doi.org/10.62836/emi.v5i1.0003
Volume 5, Issue 1, March 2026
Copyright (c) 2026 Tong Wu, Jiayi Liang
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Dynamic Efficiency and Evolution Trends of Higher Education Resource Allocation in China: A DEA-Malmquist and Markov Chain Approach

Under the general trend of the global economy shifting to knowledge-intensive, the efficiency of higher education resource allocation has become a key factor in determining development. This study analyses the problems related to the efficiency of higher education with the help of Data Envelopment Analysis (DEA), Dynamic DEA-Malmquist Index and Markov Chain Prediction. The study shows that China’s input efficiency is better overall, but regional differences are more significant, with the east being better than the west. In the Markov chain prediction of total factor productivity development trend, the total factor productivity level of higher education efficiency presents strong dynamic change characteristics, the transfer probability between states is scattered, and it is difficult to maintain in the original efficiency state for a long time. Based on this, the following suggestions are put forward: optimize resource allocation, promote technological innovation, and steadily improve the efficiency of higher education; strengthen regional collaboration, and promote the balanced development of higher education in various regions; universities and colleges to innovate the management mechanism, and inject new vitality into the development of education; and dynamically adjust the input strategy, reasonable resource allocation scheme and management measures.

higher education DEA model DEA-Malmquist index Markov prediction

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Supporting Agencies

  1. Funding: This research received no external funding.