Abstract: The paper builds a two-stage dynamic DEA model from the perspective of the innovation value chain, and employs the model to analyze the R & D efficiency, export transformation efficiency, comprehensive efficiency and intertemporal dynamic change on the basis of 52 national high-tech parks panel data in China over the period of 2006-2017. The influencing factors are also analyzed by regression simultaneously. The results show that the average R & D , export transformation, and comprehensive efficiency of these areas show an upward trend in fluctuation as a whole, and the average value of the export transformation efficiency is the lowest among the three. In addition, the economic development and talent number of high-tech zones have a significant positive impact on the R & D innovation efficiency, the opening degree,debt financing, and the R & D innovation efficiency of these cities play a clear positive role for the export transformation efficiency, and geographic distance brings a noticeable negative effect on the export transformation efficiency. These research results provide a certain theoretical support for the implementation of China's innovation-driven development strategy, and related policies for promoting R & D innovation and export transformation in high-tech zones.

摘要： 本文基于2006－2017年中国52家国家高新区的面板数据，从创新价值链的视角构建了两阶段动态跨期DEA模型，采用该模型分析了52家高新区的研发创新效率、出口转化效率、综合效率及其跨期动态变化情况，同时对影响因素进行了回归分析。研究结果表明，52家高新区的平均研发创新效率、出口转化效率和综合效率整体呈现出在波动中上升的趋势，三种平均效率中出口转化效率平均值最低。城市经济发展水平和高新区人力资本对高新区研发创新效率形成了显著的正向影响，城市开放程度、负债融资和研发创新效率对高新区出口转化效率产生了显著的正向影响，地理距离则对高新区出口转化效率产生了显著的负向影响。这为我国实施创新驱动发展战略、推动高新区研发创新和出口转化的相关政策制定提供了一定的理论支撑。