黄河流域绿色技术创新空间关联网络结构与影响因素

赵林; 高晓彤; 吴殿廷

doi:10.13959/j.issn.1003-2398.2023.04.012

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人文地理 ›› 2023, Vol. 38 ›› Issue (4) : 102-111. DOI: 10.13959/j.issn.1003-2398.2023.04.012

区域

黄河流域绿色技术创新空间关联网络结构与影响因素

赵林^1,2, 高晓彤¹, 吴殿廷³

作者信息 +

SPATIAL CORRELATION NETWORK AND INFLUENCING FACTORS OF GREEN TECHNOLOGY INNOVATION IN YELLOW RIVER BASIN

ZHAO Lin^1,2, GAO Xiao-tong¹, WU Dian-ting³

Author information +

文章历史 +

摘要

基于绿色专利数据，采用修正引力模型和社会网络分析方法对 2006-2019年黄河流域绿色技术创新空间关联网络结构演变特征与影响因素进行了分析。研究发现：①黄河流域城市群内部绿色技术创新空间关联网络呈现多线程、多流向的复杂网络结构形态，随时间逐渐具有圈层结构特征，中原城市群对其他城市群的溢出最为显著。②地市间绿色技术创新关联网络存在较为森严的等级结构，网络稳定性有待增强，净溢出地区以中原城市群及省会城市为主，净受益地区集中于河西走廊与城市群外围地区，郑州和西安的中介作用明显。③绿色技术创新空间关联网络具有核心-边缘结构，核心区组团式分布于中原城市群与晋中城市群，边缘区分布于黄河“几字弯”中部及山东半岛。④地理空间邻近、科研经费投入和数字基础设施的差异对关联网络具有促进作用，经济基础、金融发展、产业结构和教育资源配置的差异对关联网络具有一定抑制作用。

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.

导出引用

赵林, 高晓彤, 吴殿廷. 黄河流域绿色技术创新空间关联网络结构与影响因素[J]. 人文地理. 2023, 38(4): 102-111 https://doi.org/10.13959/j.issn.1003-2398.2023.04.012

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 https://doi.org/10.13959/j.issn.1003-2398.2023.04.012

中图分类号： F124

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