An Evaluation of the Efficiency of Scientific Research and Social Services of “Double-High Plan” Institutions in the Beijing-Tianjin-Hebei Region Using AHP/DEA-AR Modeling
Year: 2025
Type: conference-paper
Abstract: Classical DEA models do not consider the differences of indicator weights, which hinders the application in measuring the multiple-objective nature of vocational education. Accordingly, this paper builds an integrated AHP-DEA-AR evaluation model combining the Analytic Hierarchy Process(AHP) and Assurance Region DEA(DEA-AR) in order to well integrate expert judgments on indicator weights. Empirical application The testing data is adopted as the test of our model for evaluating the research and social service efficiency of 24 “Double high plan” vocational colleges in Beijing-Tianjin-Hebei area, during which we can first give the comprehensive benchmarking efficiency about this policy group. According to the empirical findings, we can find that: (a) the efficiency scores provided by the AHP-DEA-AR model are higher and more stable than those offered by the traditional DEA-BCC mode and the Spearman rank correlation between 0.95, verified by sensitivity analysis; (b) there would be apparent differences between regions in efficiency, Beijing>Tianjin>Hebei" curve, highly influenced by levels of regional economy development and endowment resource. Based on the above empirical evidence, we also provide customized optimization recommendations for high-, medium- and low-efficiency institutions in order to serve as a guide for allocation of resources and management.
Authors: Haijian Zhang, Jinyan Yang, Dan Sun
Institution: Beijing Information Technology College
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7147709429