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.