基于DEA-BCC模型的江苏省属高校人才发展效率研究

基于2017年江苏省高水平大学建设全国百强省属高校申报公示材料,收集了17所省属大学各项师资建设指标和学校人才培养等综合指标,建立了高层次人才、科学技术奖等含25个指标的评价体系并建立数据包络分析(DEA)的BCC模型。结果表明:南京师范大学等13所高校的人才投入-产出规模DEA有效,而南京艺术学院与江苏大学的人才发展规模非DEA有效。对比15所高校的人才发展规模综合效率排名与2017年武书连师资力量和综合实力排名,提出具有针对性与建设性的建议。

Study on theTalents-Development-Effectiveness of Provincial Universities in Jiangsu Based on DEA-BCC Model

Based on the proposals for the construction of 100 national top provincial universities from the high-level universities of Jiangsu in 2017, this studies collected the comprehensive indicators of faculty construction and talent cultivation of 17 universities including Changzhou University to establish an evaluation system of 25 indicators including the number of high-level talents and science & technology awards, and used the BCC model of data envelopment analysis (DEA) to evaluate the efficiency development of provincial universities in Jiangsu further. The results show that the talent input-output scale of 13 Jiangsu provincial universities is DEA effective, such as Nanjing Normal University. While the talent-development scales of Nanjing university of Art and Jiangsu University are DEA ineffective. Compared the ranking list of 15 provincial universities according to the talent-development efficiency with the charts of faculty and comprehensive strength of universities by WuShulian in 2017, some corresponding and constructive suggestions are put forward.