Abstract

Given the significant role of the high-tech industry (HTI) in the national development, it is crucial to promote its balanced and efficient development. This study aims to investigate the innovation efficiency (IE) of the HTI of China’s mainland from 2009 to 2019 and find practical paths of driving its sustained development. Using an integrated approach within the data envelopment analysis framework, we obtain both static and dynamic IE, of which we also conduct in-depth temporal and spatial analysis based on the Moran index. The results show an uneven and spatially correlated distribution of the IE, and the technological upgrading is identified as the main way of improving the efficiency. Furthermore, the Tobit regression analysis is applied to explore the impact of environmental factors on the IE from the macro perspective. The per capita GDP and the number of R&D institutions reveal a significantly positive effect on the improvement of the IE. Based on our main findings, we also put forward corresponding policy suggestions to enhance the competitiveness of this industry in China.