关键词: 数字技术创新水平, 二阶段时空极差熵值法, Dagum基尼系数, 方差分解, 地理探测器

Abstract: This paper identifies more than 450,000 Chinese digital technology patents through patent text analysis, constructs a two-stage time-space-range entropy method to measure the digital technology innovation level of 31 provinces in China from 2000 to 2020, uses Dagum Gini coefficient and variance decomposition method to explore the regional differences and sources of China’s digital technology innovation level from both spatial and structural perspectives, and uses geographic detector to explore the driving factors of the differences in digital technology innovation level. The study finds that the level of digital technology innovation in China shows a fluctuating upward trend, with a more obvious growth trend after 2010. Guangdong, Beijing, Jiangsu, Shanghai, and Zhejiang are the five provinces with the highest level of digital technology innovation. The level of digital technology innovation in China shows a spatial distribution pattern of “high in the east and low in the west” and “high in the south and low in the north”. “East-west” inter-regional difference is the primary spatial source of the digital technology innovation level. The difference in innovation quantity is the primary structural source of the digital technology innovation level. In terms of driving factors, R&D human investment is the dominant factor influencing the difference in digital technology innovation. The interactive combination of R&D human resources investment and information infrastructure is a key driver. The driving factors vary by region. This study enriches the research related to the evaluation of digital technology innovation level, and has implications for exploring the digital technology innovation level in each region.

Key words: Digital Technology Innovation, Two-stage Time-space-range Entropy Method, Dagum Gini Coefficient, Variance Decomposition, Geographic Detector