Abstract: Based on the theory of spatial interaction and the existing literature, an antecedent theoretical model of cross-regional technology transfer efficiency was constructed from the perspectives of both sides of the technology and technology. Taking the output of Beijing technology to other 30 provinces in China from 2013 to 2015 as the research object , The qualitative comparative analysis of fuzzy sets is used to analyze the inherent interaction of multiple antecedents and the systematic influence of multiple antecedents on Beijing's technology transfer efficiency across regions. The study found that four configurations can drive high transfer efficiency: one is to focus on strong market size; second, geographically distanced and innovation environment as the core, institutional proximity and strong absorptive capacity as auxiliary conditions; third, weakness Absorptive capacity and institutional proximity as the core, high industrial agglomeration as ancillary conditions exist; Fourth, low market demand and geographical proximity as the core, the system as an adjunct to the existence of neighboring conditions. In addition there are three configurations lead to low transfer efficiency: First, all drivers are missing scenarios; Second, the high concentration of industries and the lack of market size is the key reason leading to low transfer efficiency; Third, the far geographical distance and low industrial agglomeration are leading to low transfer The key reason for efficiency. The research provides theoretical support and policy suggestions for revealing the mechanism of cross-regional technology transfer in Beijing.

摘要： 基于空间相互作用理论和已有文献梳理，从技术受方和技术双方视角构建了影响跨区域技术转移效率的前因理论模型；以2013-2015年北京技术输出到国内其他30个省份为研究对象，采用模糊集的定性比较分析方法分析多重前因条件的内在相互作用，以及多前因组态对北京跨区域技术转移效率的系统性影响。研究发现有四种组态能驱动高转移效率：一是以强市场规模为核心；二是以远地理距离和创新环境为核心，以制度邻近和强吸收能力作为辅助条件存在；三是以弱吸收能力和制度邻近为核心、高产业集聚作为辅助条件存在；四是以低市场需求和地理邻近为核心，制度邻近作为辅助条件存在。另外有三种组态导致低转移效率：一是所有驱动力均缺失的情景；二是高产业集聚和市场规模缺失是导致低转移效率关键原因；三是远地理距离和低产业集聚是导致低转移效率的关键原因。研究为揭示北京跨区域技术转移机理提供了理论支撑和政策建议。