| Abstract: | Green innovation is both eco-friendly and innovation-driven. It is important to clarify the spatio-temporal pattern and the influencing factors of green innovation for ecological protection and high-quality development in the Yellow River Basin. Based on the panel data of 60 cities at prefecture level and above in the Yellow River Basin from 2005 to 2019, this study analyzed the spatio-temporal evolution characteristics and influencing factors of green innovation in the Yellow River Basin by using kernel density estimation, social network analysis and spatial Durbin model from the perspective of "cluster-network". The results show that: (1) The growth rate of green innovation in the Yellow River Basin slows down, the upper and middle cities of the Yellow River Basin catch up, and the gap between cities narrows gradually, with the characteristics of dynamic agglomeration. (2) The spatial agglomeration pattern of green innovation shows a gradual development trend from east to west. The level of green innovation in Shan-dong peninsula urban agglomeration and Central Henan urban agglomeration make an overall rise, agglomerating in patches, while development pattern of the other urban agglomerations form a point-like jumping up, which is "core-periphery" characteristics. (3) The density of green innovation cooperation network is low and highly unbalanced, forming a "pyramid" with Shan-dong Peninsula urban agglomeration, Zhengzhou, Xi' an and Yinchuan as a quadrilateral backbone. (4) Integrating into green innovation cooperation network has a significant and steady promoting effect on the improvement of green innovation level. There is an inverted U-shaped relationship between environmental regulation intensity and green innovation. The improvement of human capital level, economic development level and transportation network development level is conducive to green innovation, while the centrality, environmental regulation, human capital and economic development level show a positive spatial spillover effect. © The Author(s) 2023. |
