Abstract: Based on value chain perspective, the innovation process is divided into two interrelated stages of technology R&D and economic transformation. The stochastic frontier model is used to measure the R&D efficiency and economic transformation efficiency of 30 provincial high-tech industries in China during 2009-2015. Then this paper analyzes the influence of spatial effect and other factors on the two-stage efficiency. The empirical results show that there are great differences in the R&D efficiency and economic transformation efficiency of high-tech industries in various regions; the spatial effect has a significant positive impact on R&D efficiency and a significant negative effect on economic transformation efficiency; the firm size has a significant U type relationship with R&D efficiency and a significant positive correlation with economic transformation efficiency; government funding support has a significant negative impact on technology R&D efficiency, and government tax reduction can significantly promote economic transformation efficiency. Finally, according to the overall mean of the two-stage efficiency, various regions are divided into four categories, such as high R&D and high conversion, high R&D and low conversion, low R&D and high conversion, low R&D and low conversion.

摘要： 基于价值链视角，将创新过程划分为相互关联的技术研发和经济转化两阶段，运用随机前沿模型测度中国大陆30个省份2009-2015年高技术产业技术研发效率和经济转化效率，分析了空间效应等因素对两阶段效率的影响。研究发现：各区域高技术产业技术研发效率和经济转化效率均存在较大差异；空间效应对技术研发效率具有显著正向影响，对经济转化效率具有显著负向影响；企业规模与技术研发效率存在显著U型关系，与经济转化效率呈现显著正相关关系；政府资金支持对技术研发效率具有显著负向影响，政府减税行为有利于提高经济转化效率；区域科技水平和区域经济水平影响不显著。最后根据两阶段效率总体均值将各区域分为高研发高转化、高研发低转化、低研发高转化及低研发低转化四种类别。