中国人工智能创新合作网络的时空格局及其影响因素分析  

Spatial-temporal evolution and influencing factors of artificial intelligence innovation collaboration network in China

作　　者：冯瑜满 马丽[1,2] 金凤君 Feng Yuman;Ma Li;Jin Fengjun(Key Laboratory of Regional Sustainable Development Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院地理科学与资源研究所/中国科学院区域可持续发展分析与模拟重点实验室,北京100101 [2]中国科学院大学资源与环境学院,北京100049

出　　处：《地理科学》2025年第1期130-140,共11页Scientia Geographica Sinica

基　　金：国家自然科学基金项目(42071158,72050001,42471201)资助。

摘　　要：人工智能对社会、政治、经济具有颠覆性影响,或将重塑未来区域发展格局。创新网络是创新经济地理学关注的焦点,对于理解知识溢出与技术扩散的地理过程具有重要意义。本文基于2010-2021年中国人工智能产业发明专利申请数据,采用社会网络分析、加权指数随机图模型等方法,对该产业创新合作网络的时空格局进行分析,并从网络结构、多维邻近性与城市特征3个角度分析网络形成与演化的影响因素。研究发现:中国城市间人工智能创新合作网络形成了以北京为核心,由京津冀、长三角、珠三角和成渝城市群构成的“菱形”格局,网络呈现典型的异配性、小世界属性和“核心–边缘”结构。人工智能对技术、产业的依赖性导致其创新合作网络受网络自组织性、多维邻近性与城市创新合作环境影响:择优链接与中介效应促进网络发育,创新合作由互补创新转向互补与协同创新并存,地理距离、省际壁垒不再是阻碍创新合作的因素;城市经济实力和人工智能产业发展水平促进创新联系的强度与广度,但城市间发展水平差距一定程度上也阻碍合作建立,由此对促进中国人工智能产业协同创新发展提出政策建议。Using social network analysis and valued exponential random graph models,this pa-per analyzes the spatial-temporal patterns of China’s artificial intelligence industry’s innova-tion collaboration network from 2010 to 2021 and quantitatively examines its formation and evolutionary factors from 3 perspectives:network structure,multidimensional proximities and urban characteristics.The key findings are as follows:the artificial intelligence innovation col-laboration network of Chinese cities exhibits a hierarchical structure,with Beijing serving as the center hub.Additionally,an urban innovation collaboration network gradually forms a“dia-mond”pattern comprising Beijing-Tianjin-Hebei region,the Yangtze River Delta region,the Pearl River Delta region,and Chengdu-Chongqing urban agglomeration.The network demon-strates typical heterogeneity attributes along with small-world characteristics and a“core-edge”structure.The dependence of artificial intelligence on technology and industry leads to the com-prehensive impact of network self-organization,multi-dimensional proximity and urban innova-tion cooperation environment.The preferential attachment and the intermediary effect signific-antly promote network development,while the characteristics of technological proximity of in-novation cooperation change from complementary innovation to the coexistence of comple-mentary and collaborative innovation.Geographical distance and inter-provincial barriers no longer impede innovation cooperation.The urban innovation environment foster the breadth and depth of innovation collaboration but the disparities in development levels between cities hinder cooperation establishment.

关 键 词：人工智能 创新合作网络 多维邻近性 加权指数随机图模型 

分 类 号：F129.9[经济管理—世界经济]