基于非定向 Super-SBM 模型和 Malmquist 指数构建教学与科研综合绩效评价 指标体系, 并提出高校综合绩效评价方法, 采用 2012—2015 年的数据从静态和动态两个维度深入分析了 S 大学及其各学院的教学 与科研综合绩效, 为科学评价高校自身的资源配置效率, 激发高校内生动力和发展活力, 加快推进一流大学建设提供决策依据. 研究发现: 2015 年 S 大学各学院教学与科研绩效水平较高, 大部分学院的综合绩效评价有效, 其中 4 个学院需要改进资源配置; 2012—2015 年 S 大学保持了良好的绩效水平, 不同学科类型学院的综合绩效评价结果没有明显差别, 学院的教学与科研综合绩效存在规模经济; 2012—2015 年 S 大学的全要素生产率指数缓慢下降, 但管理因素对提升综合绩效水平发挥了积极作用.

Based on the non-oriental Super-SBM Model and Malmquist Index, this paper develops a comprehensive performance evaluation index for teaching and research in universities and proposes a methodology for performance evaluation. It also presents an in-depth analysis of the operational performance, both dynamically and statistically, of S University and its colleges and schools based on data from 2012 to 2015. This would provide a basis for decision making during resource allocation scientifically, and stimulate its internal motivation and development vitality to build a leading world-class university. Empirical research revealed that the performance level of teaching and research in S University was relatively high in 2015 and most colleges and schools showed valid performance appraisal, while four colleges and schools required reasonable resource allocation. For the four years from 2012 to 2015, S University maintained a good position in its teaching and research performance with no obvious distinction seen among its different colleges and schools, and with economies of scale prevailing in the teaching and research performance of its colleges. However, a slow decline in the total factor productivity index was seen in this period. Nevertheless, the findings revealed that the comprehensive performance of a university is mainly dependent on the management.