科研全要素生产率是衡量高校科研工作者创新效率的一项重要指标。以64所理工类高校为研究对象，首先采用数据包络分析方法确定64所理工类高校科研全要素生产率6年的均值，随后采用模糊集定性比较分析方法（fsQCA）来探究理工类高校的科研全要素生产率的提升路径。研究发现：理工类高校有4条科研全要素生产率提升路径，环境要素、技术要素、人力要素和资本要素都可以是科研全要素生产率提升路径中的核心要素。研究结果能够为理工类高校的科研全要素生产率提升提供引领性借鉴与价值性建议。

Total factor productivity of scientific research is an important index to measure the innovation efficiency of scientific researchers in colleges and universities. The study takes 64 science and technology universities as the research object. Firstly, the data envelopment analysis method is used to determine the six-year mean value of scientific research total factor productivity of 64 science and technology universities, and then the fuzzy set qualitative comparative analysis method (fsQCA) is used to explore the promotion path of scientific research total factor productivity of science and technology universities. It is found that science and technology universities have four paths to improve the total factor productivity of scientific research, and environmental factor, technical factor, human factor, and capital factor can be the core elements of the paths to improve the total factor productivity of scientific research. The research results can provide reference and valuable suggestions for the improvement of scientific research total factor productivity in colleges and universities of science and technology.