区域高技术产业创新效率评价及影响因素

Evaluation and Influencing Factors of Regional High-tech Industry Innovation Efficiency

利用超效率DEA模型对2012—2018年中国高技术产业的创新效率进行评价,在此基础上,建立面板数据模型探讨其影响因素。结果表明:东北三省创新效率较低,西部各省区市创新效率两极化明显;北方创新效率呈缓“N”形波动,2017年前低于南方,但近年来上升态势显著,两者间的差距越来越小;科学技术投入力度、教育投入比重、对外开放度、高素质人口比重及城市化率对南北方高技术产业创新效率有不同的影响。最后根据上述结果从政府支持、对外开放及人才引育等方面的分区调节提出对策建议。

The super-efficiency DEA model is used to evaluate the innovation efficiency of China’s high-tech industry from 2012 to 2018. On this basis, a panel data model is established to explore its influencing factors. The results show that the innovation efficiency of the three northeastern provinces is low, and the innovation efficiency of the western provinces(regions,cities) is obviously polarized. The innovation efficiency of the north shows a slow N-shaped fluctuation, which was lower than that of the south before 2017, but in recent years it has increased significantly and the gap between them is getting smaller and smaller. The investment in science and technology, the proportion of education investment, the degree of opening up,the proportion of high-quality population, and the urbanization rate have different effects on the innovation efficiency of high-tech industries in the south and in the north. Based on this,reasonable suggestions are made for regional adjustment on government support, opening up and talent introduction.