Spatiotemporal Characteristics of Collaborative Innovation Development in the Era of Smart Education:An Empirical Analysis Based on Inter-provincial University Panel Data
This paper utilizes panel data from universities across 31 provinces in China(excluding Hong Kong,Macau,and Taiwan)from 2011 to 2020 to measure the development levels of smart education and technological innovation in different regions and evaluate their coupling coordination degree.Employing spatial econometric models and the grey prediction method,this study conducts an empirical analysis of the spatiotem-poral evolution characteristics and future trends of collaborative innovation development in China's science and education sectors.The study finds that the level of collaborative innovation development in China's science and education sectors shows an increasing trend over time and exhibits a spatial distribution pattern that diminishes from east to west.Spatial autocorrelation analysis reveals that smart education and technological innovation in China demonstrate spatial agglomeration characteristics,primarily represented by"high-high"agglomeration areas centered around Shanghai,Jiangsu,and Zhejiang,and"low-low"agglomeration areas centered around Tibet,Qinghai,and Xinjiang.Prediction results indicate that between 2021 and 2025,the level of collabora-tive innovation development in science and education sectors across China's 31 provinces(excluding Hong Kong,Macau,and Taiwan)will exhibit a rapid growth trend.
NETL
NSTL
万方数据
