以2017—2021年我国31个省（区、市）高校科技创新数据为基础，利用BCC模型和Malmquist指数，对不同省域、不同地区、不同城市群高校科技创新效率进行静态和动态分析。研究结果表明：（1）31个省（区、市）高校科技创新效率整体较低，17个省（区、市）高校科技创新存在投入冗余问题，29个省（区、市）高校科技创新存在产出不足问题；（2）地区间高校科技创新效率呈现出西强东弱状态；（3）城市群间高校科技创新效率呈现出“长江三角洲城市群>成渝地区双城经济圈>长江经济带>京津冀城市群”状态。为提升高校科技创新效率，需要建立以效率为准绳的科技资源配置策略、以效益为导向的创新成果评价机制和以服务为基础的科研政策保障体系。

This paper uses the data on science and technology innovation in colleges and universities in 31 provinces of China from 2017-2021 as the basis of the study, and uses the BCC model and Malmquist index to carry out static and dynamic calculations on the efficiency of science and technology innovation in universities in different provinces, regions and city clusters. The results of the study show that: (1) The overall efficiency of science and technology innovation in universities in 31 provinces is relatively low, Science and technology innovation in universities have the problem of input redundancy in 17 provinces, output shortage in 29 provinces; (2) The efficiency of science and technology innovation in universities between regions is high in the west and low in the east; (3) The efficiency of university science and technology innovation among urban clusters shows the trend is Yangtze River Delta City Cluster > Chengdu-Chongqing Region Twin Cities Economic Circle > Yangtze River Economic Belt > Beijing-Tianjin-Hebei City Cluster. In order to improve the efficiency of scientific and technological innovation in universities, it is necessary to establish the strategy for allocating scientific and technological resources based on efficiency, the evaluation mechanism for innovative achievements take the aim of benefit and the service-based research policy system.

G301

国家自然科学基金青年科学“‘亼形悖论’下公共文化服务的居民有限参与及涌现式突破路径”(72104237)；天津市教委2022年度社会科学重大项目“天津市航空产业特色学科群建设研究”(2022JWZD16)。