{"id":11696,"date":"2026-09-11T17:13:13","date_gmt":"2026-09-11T09:13:13","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=11696"},"modified":"2026-09-11T19:45:41","modified_gmt":"2026-09-11T11:45:41","slug":"jase-202612-35-026","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202612-35-026","title":{"rendered":"Evaluation on Implementation Effect of Classified Management Policies for Private Universities and Differentiated Strategy Research via Hybrid Classification Algorithm"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 35<\/a><\/p>\n<\/div>\n\n\n\n

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Xiaowei Nie<\/i><\/a><\/p>\n\n\n\n

Shenyang City University, Shenyang City, 110000 China<\/p>\n<\/div>\n\n\n\n

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Received: July 06, 2026
Accepted: July 27, 2026
Publication Date: September 11, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Regional Differentiation Trend of Policy Implementation Effect. <\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation: BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202612_35.026<\/a> <\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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Classified management of private universities is a core institutional reform to optimize the higher education layout, alleviate homogeneous development, and improve the quality of private higher education. However, existing policy evaluation methods suffer from single-dimensional assessment, insufficient mining of nonlinear coupling relationships between policy indicators, and poor differentiation of university development positioning, which cannot accurately quantify the hierarchical implementation effect of classified management policies. To solve the above problems, this paper constructs a multi-dimensional policy evaluation index system covering educational operation, talent cultivation, social service, and resource allocation based on the panel data of 86 private undergraduate universities in eastern, central and western China from 2019 to 2024. A novel Hybrid Classification Algorithm integrating Improved Random Forest (IRF) and Ordinal Logistic Regression (OLR) is proposed to realize adaptive weight optimization of evaluation indicators and hierarchical classification of policy implementation effects. Different from traditional single evaluation models, the hybrid algorithm retains the advantages of nonlinear feature mining of random forest and ordinal category discrimination of logistic regression, effectively solving the problems of indicator noise interference and fuzzy classification boundary in policy effect evaluation. The experimental results show that the overall implementation efficiency of classified management policies for Chinese private universities reaches 0.784, showing a significant regional hierarchical differentiation feature; the policy effect in eastern regions is far higher than that in central and western regions, and resource allocation imbalance and talent cultivation lag are the main restrictive factors for policy implementation in underdeveloped regions. Based on the classification results of the hybrid algorithm, targeted differentiated development strategies for leading, transitional, and backward private universities are proposed. This study provides a quantitative evaluation method and practical decision-making reference for optimizing the classified management system of private higher education and promoting the differentiated and high-quality development of private universities.<\/p>\n\n\n\n

Keywords: Private Universities, Classified Management Policy, Policy Implementation Effect, Hybrid Classification Algorithm, Differentiated Development.<\/em><\/p>\n\n\n\n

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