This paper researched the coordination degree of higher education in Yunnan Province. Firstly, the coefficients of weight index were derived from the available value of data reflecting the information entropy. The results show that the index with the highest weight of higher education is the ratio of teachers to students, and the lowest weight is the number of annual core articles. The weight value of each index is between 0.0793 and 0.3964; secondly, the index of higher education was cauculated in 2010-2021, and compared the index differences among different cities. The results show that the index score of the higher education scale in Yunnan province increased year by year, but the volatility of the education quality index score decreased. Kunming education scale index score ranked the highest in the province, Qujing, Dali and Honghe higher education scale index score in the province of the second ladder, Chuxiong, Baoshan, Lijiang, Yuxi, Wenshan, Dehong and Zhaotong higher education scale index score in the third ladder, Xishuangbanna, Lincang and pu'er higher education scale index score in the province the fourth ladder. The higher education quality index score of Kunming city is ranked first in the province, which is consistent with the higher education scale index score in the province. In the second step includes Zhaotong, Wenshan, Dali, Lijiang and other areas, Dehong, Honghe, Yuxi, Lincang, Pu'er, Qujing and other areas are in the third step, and Chuxiong, Baoshan and Xishuangbanna are in the fourth step. Finally, based on coordination and obstacle degree models, researched the main obstacle factors of higher education. The highest obstacles include the ratio of teacher to student, followed by the number of articles and the number of universities, and the number of teachers and students.
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Li et al. (2024) studied this question.
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