Spatial Evolution and Influence Mechanism of Regional Innovation Quality in China
Based on the definition of regional innovation from a process perspective,this paper establishes a measurement indicator system and measures the regional innovation quality of 31 provinces in China from 2009 to 2021 through the entropy value method;it uses Dagum Gini coefficient decomposition and the exploratory spatial data analy-sis(ESDA)to analyze the spatial disequilibrium pattern of innovation quality,and the quadratic assignment proce-dure(QAP)to analyze the factors that affect the gap in the regional innovation quality.This study found that China's innovation quality has shown an upward trend;the volatility gap in innovation quality is fluctuating and expanding;and the gap between regions is the core factor in innovation quality gaps;the spatial agglomeration of regional innova-tion quality tends to increase whose effect has strengthened over time,and the level of regional high-tech industries development plays the most critical role in the regional innovation quality.
NETL
NSTL
万方数据
