SPATIAL CORRELATION NETWORK AND INFLUENCING FACTORS OF GREEN TECHNOLOGY INNOVATION IN YELLOW RIVER BASIN
ZHAO Lin1,2, GAO Xiao-tong1, WU Dian-ting3
1. School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China;
2. Institute of Marine Sustainable Development, Liaoning Normal University, Dalian 116029, China;
3. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Abstract Based on the data of green patent applications, this article analyzed the evolution characteristics of the spatial correlation network structure of green technology innovation in the Yellow River Basin from 2006 to 2019 by using the modified gravity model and social network analysis method, and identified the influencing factors of the spatial correlation network of green technology innovation by using the Quadratic Assignment Procedure (QAP). The research showed that:1) The spatial correlation network of green technology innovation within the urban agglomeration in the Yellow River Basin presented a complex network structure with multi-threading and multi-flow directions, and gradually had the characteristics of a circle-layer structure over time. 2) The spatial correlation network of green technology innovation had a relatively strict hierarchical structure, and the stability of the network needed to be enhanced. 3) The spatial correlation network of green technology innovation had the characteristics of core-edge structure. 4) The formation and development of the spatial correlation network of green technology innovation in the Yellow River Basin was the result of the combined effect of explicit technology exchange and collaboration and implicit knowledge transfer interaction between different regions and different innovation subjects.
ZHAO Lin,GAO Xiao-tong,WU Dian-ting. SPATIAL CORRELATION NETWORK AND INFLUENCING FACTORS OF GREEN TECHNOLOGY INNOVATION IN YELLOW RIVER BASIN[J]. HUMAN GEOGRAPHY, 2023, 38(4): 102-111.
