基于2018年上海市各区规模以上工业企业科技人才数据，利用DEA-Tobit法，进行科技人才空间集聚效率评价及影响因素研究。研究结果表明：（1）上海市16个区的规模以上工业企业科技人才集聚平均综合效率值达到0.86，整体集聚效率较好。（2）宝山区、长宁区、虹口区、嘉定区、青浦区及徐汇区综合效率值达到1，实现DEA有效。（3）其他10个区规上企业科技人才集聚综合效率值都小于1，其中浦东新区、闵行区、松江区、黄浦区、崇明区及金山区的纯技术效率值为1，实现弱DEA有效。（4）从影响因素来看，人均GDP、国外技术依存度、科技创新投入力度、企业科技机构中硕博人员比例等对规模以上工业企业科技人才集聚的综合效率值有显著正向影响；人力资源配置、企业办科技机构数量有显著负向影响；政府支持力度、创新活力无显著影响。

Based on the data of scientific and technological talents of industrial enterprises above designated size in various districts of Shanghai in 2018, the DEA-Tobit method is used to evaluate the spatial agglomeration efficiency of scientific and technological talents and research on influencing factors. The research results show that: (1) The average comprehensive efficiency value of the agglomeration of scientific and technological talents in industrial enterprises above designated size in the 16 districts of Shanghai reaches 0.86, and the overall agglomeration efficiency is relatively good. (2) Baoshan District, Changning District, Hongkou District, Jiading District, Qingpu District and Xuhui District have a comprehensive efficiency value of 1, achieving DEA effective. (3) The overall efficiency of scientific and technological talent agglomeration of the other 10 regional enterprises is less than 1. Among them, the pure technical efficiency of Pudong New District, Minhang District, Songjiang District, Huangpu District, Chongming District and Jinshan District is 1, realizing weak DEA effective . (4) From the perspective of influencing factors, per capita GDP, foreign technology dependence, investment in scientific and technological innovation, and the proportion of masters and doctors in enterprise-run scientific and technological institutions have a significant positive impact on the overall efficiency of the accumulation of scientific and technological talents in industrial enterprises above designated size; The allocation of human resources and the number of scientific and technological institutions run by enterprises have a significant negative impact；While government support and innovation vitality have no significant impact.

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